News & Updates
The latest news and updates from companies in the WLTH portfolio.
Vibe Coding Startups Soar: Lovable, Cursor, Replit Valuations Surge Amid Big Tech Deals and AI Coding Boom - News Directory 3
Stockholm-based Lovable has become one of the fastest-growing entities in the sector. The emergence of AI-assisted coding tools, known as vibe coding, has triggered a surge in venture capital investment and multi-billion dollar valuations for a new class of software startups. These platforms allow users to build complete applications using natural language prompts, leading tech giants to integrate the tools into their workflows while simultaneously causing investors to divest from legacy software stocks over concerns that companies will build their own internal tools rather than purchase existing software. The scale of the market is highlighted by a deal announced on April 15, 2026, in which SpaceX partnered with the AI coding startup Cursor. The agreement provides SpaceX with the option to acquire Cursor for $60 billion or pay $10 billion for the collaboration. As part of the partnership, Cursor receives access to SpaceX resources, including the Colossus supercomputer, to enhance its competitive position against major AI labs. Stockholm-based Lovable has become one of the fastest-growing entities in the sector. Launched in 2024, the company reached a $100 million annual recurring revenue (ARR) milestone within eight months and surpassed $200 million four months later. By March 2026, Business Insider reported that Lovable's ARR had surged from $300 million to $400 million in a single month. In December 2025, Lovable raised $330 million in a Series B funding round led by Menlo Ventures and CapitalG, valuing the company at $6.6 billion. The round included participation from the venture arms of Google and Nvidia, as well as Salesforce Ventures, Databricks Ventures, and Khosla Ventures. This followed a July 2025 Series A round of $200 million that valued the company at $1.8 billion. Lovable currently sees 200,000 new projects created daily on its platform and counts Uber, Zendesk, and Klarna as customers. The company plans to increase its headcount from 146 to 350 employees by the end of 2026. Replit, founded in 2016, has also seen its valuation soar. In March 2026, the company announced a $9 billion valuation following a $400 million Series D round led by Georgian Partners. Other investors include Andreessen Horowitz, Coatue, Craft Ventures, Accenture Ventures, and individuals such as Jared Leto and Shaquille O'Neal. Our mission has always been that every human with an idea and an internet connection should be able to build any app they want Replit has transitioned from a collaborative environment to utilizing the Replit Agent, which converts English descriptions into working applications. Reports indicate the company projects $1 billion in revenue by the end of 2026. Other startups are targeting specific market gaps or enterprise needs. San Francisco-based Poolside AI, co-founded in 2023 by Eiso Kant and former GitHub head of tech Jason Warner, focuses on the public sector and large enterprises. After closing a $500 million Series B in 2024 led by Bain Capital, the company is raising a Series C with a commitment of at least $500 million from Nvidia. Bloomberg previously reported that Poolside was in discussions to raise $2 billion at a $12 billion valuation. Emergent, a 2024 Y Combinator graduate founded by Madhav and Mukund Jha, reported reaching $100 million in ARR within eight months, serving 6 million users by February 2026. The startup raised $70 million in Series B funding in January 2026 from SoftBank Vision Fund 2 and Khosla Ventures, among other investors. This followed a $23 million Series A round in September 2025. StackBlitz's Bolt platform, launched in 2024, utilizes Anthropic's models to allow users to build software via plain English. According to co-founder Eric Simons, Bolt generated $1 million in ARR in its first week and added an additional $1 million each subsequent week. In January 2025, Bloomberg reported that StackBlitz was in talks to raise $83.5 million at a $700 million valuation. The rapid expansion of vibe coding has led to several acquisitions and failed deals. In July 2025, the AI startup Cognition acquired Windsurf after a proposed $3 billion acquisition by OpenAI fell through. In June 2025, the web design platform Wix acquired the six-month-old startup Base44 for $80 million. These startups are competing against established AI-powered coding tools from Microsoft, Anthropic, and OpenAI. While tech giants are adopting these tools to increase efficiency and listing them as requirements in job descriptions, the shift has created volatility in the broader software market as investors move away from legacy software providers.
Anthropic Drops 'Figma-Killer' as Canva Goes All-In on AI
eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Anthropic Drops 'Figma-Killer' as Canva Goes All-In on AI At Canva Create last week, COO Cliff Obrecht told 265 million users: "Until now, Canva has been a design platform with AI tools. Now we become an AI platform with design tools." Canva AI 2.0 landed alongside the speech: describe a 12-page Morocco planning deck in plain English, get editable vectors back. The same day, Anthropic CPO Mike Krieger resigned from Figma's board ahead of Anthropic shipping competing design software. Figma's stock did not have a great afternoon. So what is Anthropic's supposed "Figma-Killer?" Claude Design, which launched last Friday, powered by Opus 4.7's vision capabilities. The company pitched it as a way to collaborate with Claude on polished visual work the way you already use it for code. Here are the details * Claude Design is available to Pro, Max, Team, and Enterprise users at claude.ai/design. * Three features stand out: it reads your codebase to build a persistent design system, captures elements from any live site, and packages finished designs as a handoff bundle for Claude Code. * Exports go to Canva, PDF, PPTX, standalone HTML, or a private company URL. * Adobe, Wix, and yes, poor Figma, all had their stocks drop on the news. Why this matters Developers are already playing around and flexing with it on X: * Ran Segall built a homeschooling app he called 10x better than Lovable or Replit. * Jerrod Lew assembled a personal dashboard OS in two prompts. * Anthropic designer Ryan Mather posted a 7-tip guide that's the best walkthrough so far. * Canva's CEO even endorsed the integration at launch! But the reaction in r/ClaudeAI landed closer to "resounding meh." Their concerns, in brief: * Every generated app looks identical, right down to the serif font, the blinking status dot, colored accent bars, and what one commenter called "container soup" of pills and cards. * Users figured out that Claude Design pulls from Claude's built-in frontend design skill, with a handful of default presets. * Unless you upload reference screenshots or your own design tokens, the output "screams I just used one Claude prompt." * One commenter also flagged that two to three full prompts can exhaust weekly Pro limits, which tracks with this week's broader compute-rationing story. Our take The teal-aesthetic problem is a preview of the bigger Claude problem that blew up this weekend. The r/ClaudeCode backlash thread on Opus 4.7 (1.7K upvotes, nicknamed "Gaslightus 4.7") reports the model inventing files, defending hallucinated test results across 10 turns, and obsessively checking benign PowerPoint templates for malware. One user's 17/29 eval stayed stuck while Opus kept inventing fresh reasons it was right. So Anthropic shipped a design tool and a frontier model in the same week; the same opinionated defaults are baked into both. This is Anthropic, we're talking about here, though. They're arguably the most opinionated AI company out there. So what did you expect? On the model front, expect some updates to fix some of these issues ASAP. If they don't... the newly revamped Codex could clean house with Claude's last remaining dearly devoted devs... As the meme goes: 4.8 wen?? Editor's note: This content originally ran in the newsletter of our sister publication, The Neuron. To read more from The Neuron, sign up for its newsletter here.
Acquire SpaceX Stock Early: A Guide to Getting Ahead
The anticipated IPO of SpaceX could take place as soon as June, sparking significant interest among investors. Speculations suggest that this initial public offering may reach an impressive valuation exceeding $2 trillion. As interest grows, the composition of the top markets could undergo substantial transformations. Acquiring SpaceX Stock: How to Get Ahead Investors eager to participate in the SpaceX IPO have various options available. One attractive route involves exchange-traded funds (ETFs) that include shares of the innovative space company. Invest in ETFs for SpaceX Exposure * Consider Cathie Wood's Ark Venture Fund (ARKVX) for early access to SpaceX. * This fund also includes a noteworthy mix of other private companies aiming for IPOs soon. * The fund allocates approximately 17% of its portfolio to SpaceX. Besides SpaceX, the Ark Venture Fund provides exposure to firms like OpenAI and Anthropic, which account for 11.5% and 3.5% of the fund, respectively. Other promising companies include Replit, Figure AI, and Databricks. Weighing the Costs and Benefits Investors considering the Ark Venture Fund should note the total annual fees, which stand at 2.90%. This fee is higher than many traditional active mutual funds but reflects the fund's unique access to cutting-edge private companies. Further examination of the fund reveals holdings in other high-profile private companies, such as Epic Games and Neuralink. While the cost is notable, many investors believe the potential returns may justify the initial investment. Preparing for the IPO Market Surge If SpaceX's upcoming Starship V3 launch in May proves successful, it may pave the way for an exhilarating IPO. With the tech sector currently rebounding, the demand for SpaceX shares could surpass supply on launch day. This event has the potential to reshape investor dynamics in the US market. As SpaceX prepares for its public debut, those looking to buy in early can take strategic steps to secure their place in this groundbreaking financial opportunity.
Anthropic Unveils Claude Opus 4.7, Regaining Lead in Powerful LLMs
Anthropic has announced the public release of its latest large language model, titled Claude Opus 4.7. This model aims to cement Anthropic's position in the competitive landscape of advanced AI technologies. Notably, Opus 4.7 competes directly with the likes of OpenAI's GPT-5.4 and Google's Gemini 3.1 Pro. Claude Opus 4.7: Key Features and Performance Opus 4.7 has been developed to outperform its primary competitors on several pivotal benchmarks. In tests for knowledge work evaluation, Opus 4.7 achieved an Elo score of 1753, surpassing GPT-5.4, which scored 1674, and Gemini 3.1 Pro at 1314. Despite this, it does not dominate all areas, particularly in agentic search, where GPT-5.4 leads with a score of 89.3% against Opus 4.7's 79.3%. Enhanced Capabilities in Hard Sciences This latest model represents a significant evolutionary step from its predecessor, Opus 4.6. Claude Opus 4.7 is particularly adept in hard sciences, such as software engineering and complex document reasoning, demonstrating a new level of rigor in its processing capabilities. Noteworthy improvements include: * High-resolution multimodal support, processing images up to 2,576 pixels on their longest edge. * A substantial increase in success rates on visual-acuity tests, jumping from 54.5% to 98.5%. * Improved performance in agentic coding, resolving 64.3% of tasks, outperforming the previous version. Response to User Needs and Ethical Concerns Opus 4.7 introduces a new "effort" parameter, allowing users to adjust token consumption while managing performance. An xhigh effort level sits between high and max settings. Additionally, developers can set task budgets to control costs efficiently. Due to increasing concerns about cybersecurity, Anthropic is taking a proactive approach. The model includes mechanisms to detect potential cyber threats, supporting a Cyber Verification Program for security professionals to access its capabilities for defensive applications. Market Position and Industry Reactions Initial reactions from industry partners reflect a positive shift in confidence in Opus 4.7's capabilities. Users noted improvements in workflow efficiency and quality of outputs. For instance: * Cognitions' Scott Wu cites its ability to maintain coherence over lengthy tasks. * Notion's Sarah Sachs reports a 14% boost in multi-step workflow success. * Replit's Vivek Raghavan remarked on its utility in creating reliable outputs without losing context. Looking Ahead: Considerations for Enterprise Use For enterprises, Opus 4.7 signifies a transition from a generative assistant to a reliable operational tool. However, transitioning from Opus 4.6 may require careful calibration of prompts to align with Opus 4.7's literal execution style. Despite its advancements, there are potential challenges in operational costs due to increased token consumption. Businesses are advised to plan phased rollouts to adapt their applications accordingly. Conclusion: A Step Forward for Anthropic Anthropic's release of Claude Opus 4.7 marks a significant milestone in the evolution of large language models. By combining rigorous self-verification with enhanced capabilities, it addresses both user needs and ethical concerns in AI deployment. As the company navigates complex regulatory landscapes, Opus 4.7 aims to establish a foothold as a leader in autonomous digital solutions.
Anthropic Launches New Opus Model Amid Mythos Preview Excitement
Anthropic has introduced Claude Opus 4.7, its latest and most powerful generally available model. This release is an upgrade from Opus 4.6, particularly for software engineering tasks. It excels in complex coding scenarios that previously required significant user assistance. Enhanced Capabilities of Claude Opus 4.7 Opus 4.7 showcases improved skills in analyzing images and following user instructions. It also demonstrates enhanced creativity for generating slides and documents, according to Anthropic. Context of Release The launch of Opus 4.7 follows the announcement of Mythos Preview, a cybersecurity-centered model that Anthropic calls its most powerful. In comparison, Opus 4.7 is considered more limited in capability. Performance Evaluation An internal evaluation indicates that Opus 4.7 does not surpass the "capability frontier" defined by Mythos Preview. The advanced model has outperformed Opus 4.7 in all relevant metrics. Due to security concerns, Mythos Preview is currently available only to select partners, including: * Nvidia * JPMorgan Chase * Google * Apple * Microsoft Cybersecurity Features Anthropic's statement highlights that the release of Opus 4.7 includes additional cybersecurity safeguards compared to its predecessor. The company mentioned that the data collected from these safeguards would contribute to future releases of Mythos-class models. Security professionals interested in leveraging Opus 4.7 for cybersecurity initiatives, such as vulnerability research, may participate in the new Cyber Verification Program. This program will potentially relax some of the imposed safeguards for users. Trial and Pricing Early users of Opus 4.7 include major companies such as Intuit, Harvey, Replit, Cursor, Notion, Shopify, Vercel, and Databricks. The pricing remains unchanged from Opus 4.6, set at: With Opus 4.7, Anthropic continues its journey toward refined AI models, while emphasizing security and user support.
How to Get a Piece of SpaceX Stock Ahead of the Crowd
This post may contain links from our sponsors and affiliates, and Flywheel Publishing may receive compensation for actions taken through them. The big SpaceX IPO could arrive as early as June, and it's going to be a record-breaker in terms of size and excitement. Whether the price of admission implies a valuation north of $2 trillion (that's on the high end) on the opening day or more, the big launch is going to draw some pretty big crowds. Either way, the top 10 companies by market cap have the potential to look drastically different in a few years' time. For investors looking for ways to get in ahead of the crowd, there are some compelling ETFs out there that have a decent stake in Elon Musk's space company. Whether you're excited about the merger with Grok owner xAI, a potential merger with Tesla (NASDAQ:TSLA | TSLA Price Prediction) way into the future (one can only hope), or the continued dominance of Starlink, I do think the case for getting in ahead of what could be a glorious SpaceX debut day is quite a compelling one, especially for the Musk fans. As for ETFs, my favorite way to get a piece of SpaceX, as well as a bunch of other private companies, has to be by way of Cathie Wood's Ark Venture Fund (ARKVX). There's no shortage of excitement with this basket of explosive private companies, many of which are slated to enjoy IPOs of their own in the coming year or two. If you can't wait for SpaceX or the slew of frontier AI firms that could follow with big IPOs of their own in the second half of 2026 or the first half of 2027, The Ark Venture Fund seems like a great way to grab a seat before the theater is even open. Of course, you'll have to pay up a whopping 2.90% worth of total expenses. That's steep, but I suppose high-fee active mutual funds and hedge funds change fees in a similar range, and they don't have nearly as much private innovator exposure as the Ark Venture Fund. SpaceX represents around 17% of the fund, with OpenAI and Anthropic sporting weights of 11.5% and 3.5%, respectively. Replit, Figure AI, and Databricks are also intriguing AI innovators that could explode onto the public markets at some point in the future. Looking further underneath the hood, you'll also get exposure to Epic Games, Neuralink (another Elon Musk company), and the predictions markets platform Kalshi. Between paying a hefty annual fee for exposure to the broad basket and testing one's luck one day, it's a tough call. Ultimately, investors must ask themselves if the private tech holdings beyond SpaceX, OpenAI, and Anthropic are worth the while and whether one trusts in Cathie Wood and her ability to replicate the success in the private markets. While I wish the Ark Venture Fund were 2% cheaper regarding the total expenses, I do think that those keen on getting private exposure are getting bang for their buck, especially considering the lack of more cost-effective alternative options out there. In any case, if SpaceX's Starship v3 launch this May goes well, the stage may very well be set for an epic IPO that sees investor demand outweigh supply. With markets heating up again and tech leading the recovery, I wouldn't at all be surprised if the big SpaceX IPO day is a shocker. After all, we're talking about a company that's poised to be a top-10 holding in the S&P 500.
Anthropic releases Claude Opus 4.7, narrowly retaking lead for most powerful generally available LLM
Anthropic is publicly releasing its most powerful large language model yet, Claude Opus 4.7, today -- as it continues to keep an even more powerful successor, Mythos, restricted to a small number of external enterprise partners for cybersecurity testing and patching vulnerabilities in the software said enterprises use (which Mythos exposed rapidly). The big headlines are that Opus 4.7 exceeds its most direct rivals -- OpenAI's GPT-5.4, released in early March 2026, scarcely more than a month ago; and Google's latest flagship model Gemini 3.1 Pro from February -- on key benchmarks including agentic coding, scaled tool-use, agentic computer use, and financial analysis. But also, it's notable how tight the race is getting: on directly comparable benchmarks, Opus 4.7 only leads GPT-5.4 by 7-4. It currently leads the market on the GDPVal-AA knowledge work evaluation with an Elo score of 1753, surpassing both GPT-5.4 (1674) and Gemini 3.1 Pro (1314). Yet, the model does not represent a "clean sweep" across all categories. Competitors like GPT-5.4 and Gemini 3.1 Pro still hold the lead in specific domains such as agentic search, where GPT-5.4 scores 89.3% compared to Opus 4.7's 79.3%, as well as in multilingual Q&A and raw terminal-based coding. This positioning defines Opus 4.7 not as a unilateral victor in all AI tasks, but as a specialized powerhouse optimized for the reliability and long-horizon autonomy required by the burgeoning agentic economy. Claude Opus 4.7 is available today across all major cloud platforms, including Amazon Bedrock, Google Cloud's Vertex AI, and Microsoft Foundry, with API pricing held steady at $5/$25 per million tokens. Claude Opus 4.7 is a direct evolution of the Opus 4.6 architecture, but its performance delta is most visible in the "hard" sciences of agentic workflows: software engineering and complex document reasoning. At its core, the model has been re-tuned to exhibit what Anthropic describes as "rigor". This isn't just marketing parlance; it refers to the model's new ability to devise its own verification steps before reporting a task as complete. For example, in internal tests, the model was observed building a Rust-based text-to-speech engine from scratch and then independently feeding its own generated audio through a separate speech recognizer to verify the output against a Python reference. This level of autonomous self-correction is designed to reduce the "hallucination loops" that often plague earlier iterations of agentic software. The most significant architectural upgrade is the move to high-resolution multimodal support. Opus 4.7 can now process images up to 2,576 pixels on their longest edge -- roughly 3.75 megapixels. This represents a three-fold increase in resolution compared to previous iterations. For developers building "computer-use" agents that must navigate dense, high-DPI interfaces or for analysts extracting data from intricate technical diagrams, this change effectively removes the "blurry vision" ceiling that previously limited autonomous navigation. This visual acuity is reflected in benchmarks from XBOW, where the model jumped from a 54.5% success rate in visual-acuity tests to 98.5%. On the benchmark front, Opus 4.7 has claimed the top spot in several critical categories: Crucially, Anthropic warns that this increased precision requires a shift in how users approach prompting. Opus 4.7 follows instructions literally. While older models might "read between the lines" and interpret ambiguous prompts loosely, Opus 4.7 executes the exact text provided. This means that legacy prompt libraries may require re-tuning to avoid unexpected results caused by the model's strict adherence to the letter of the request. The "agentic" nature of Opus 4.7 -- its tendency to pause, plan, and verify -- comes with a trade-off in token consumption and latency. To address this, Anthropic is introducing a new "effort" parameter. Users can now select an xhigh (extra high) effort level, positioned between high and max, allowing for more granular control over the depth of reasoning the model applies to a specific problem. Internal data shows that while max effort yields the highest scores (approaching 75% on coding tasks), the xhigh setting provides a compelling sweet spot between performance and token expenditure. To manage the costs associated with these more "thoughtful" runs, the Claude API is introducing "task budgets" in public beta. This allows developers to set a hard ceiling on token spend for autonomous agents, ensuring that a long-running debugging session doesn't result in an unexpected bill. These product changes signal a maturing market where AI is no longer a novelty but a production line item that requires fiscal and operational guardrails. Furthermore, Opus 4.7 utilizes an updated tokenizer that improves text processing efficiency, though it can increase the token count of certain inputs by 1.0-1.35x. Within the Claude Code environment, the update brings a new command. Unlike standard code reviews that look for syntax errors, is designed to simulate a senior human reviewer, flagging subtle design flaws and logic gaps. Additionally, "auto mode" -- a setting where Claude can make autonomous decisions without constant permission prompts -- has been extended to Max plan users. Anthropic continues to walk a narrow line regarding cybersecurity. The recent announcement of the aforementioend cybersecurity partnership around Mythos with external industry partners -- known as "Project Glasswing" -- highlighted the dual-use risks of high-capability models. Consequently, while the flagship Mythos Preview model remains restricted, Opus 4.7 serves as the testbed for new automated safeguards. The model includes systems designed to detect and block requests that suggest high-risk cyberattacks, such as automated vulnerability exploitation. To bridge the gap for the security industry, Anthropic is launching the Cyber Verification Program. This allows legitimate professionals -- vulnerability researchers, penetration testers, and red-teamers -- to apply for access to use Opus 4.7's capabilities for defensive purposes. This "verified user" model suggests a future where the most capable AI features are not universally available, but gated behind professional credentials and compliance frameworks. In cybersecurity vulnerability reproduction (CyberGym), Opus 4.7 maintains a 73.1% success rate, trailing Mythos Preview's 83.1% but leading GPT-5.4's 66.3%. Early testimonials from enterprise customers shared by Anthropic indicate there has been a tangible shift in model perception of Opus 4.7 from 4.6, going from "impressed by the tech" to "relying on the output". Clarence Huang, VP of Technology at Intuit, noted that the model's ability to "catch its own logical faults during the planning phase" is a game-changer for velocity. This sentiment was echoed by Replit President Michele Catasta, who stated that the model achieved higher quality at a lower cost for tasks like log analysis and bug hunting, adding, "It really feels like a better coworker". Other specific reactions included: Perhaps the most telling reaction came from Aj Orbach, CEO of a dashboard-building firm, who remarked on the model's "design taste," noting that its choices for data-rich interfaces were of a quality he would "actually ship". For enterprise leaders, Claude Opus 4.7 represents a shift from generative AI as a "creative assistant" to a "reliable operative." But importantly, it is not a "clean win" for every use case. Instead, it is a decisive upgrade for teams building autonomous agents or complex software systems. The primary value proposition is the model's new capability for self-verification and rigor; it no longer just generates an answer but creates internal tests to verify that the answer is correct before responding. This reliability makes it a superior choice for long-horizon engineering tasks where the cost of human supervision is the primary bottleneck. However, an immediate, wholesale migration from Opus 4.6 requires caution. The model's increased literalism in instruction following means that prompts engineered to be "loose" or conversational with previous versions may now produce unexpected or overly rigid results. Furthermore, enterprises must prepare for a significant increase in operational costs. Opus 4.7 uses an updated tokenizer that can increase input token counts by 1.0-1.35x, and its tendency to "think harder" at high effort levels results in higher output token consumption. For legacy applications where prompts are fragile and margins are thin, a phased rollout with significant re-tuning is recommended. This release arrives at a paradoxical moment for Anthropic. Financially, the company is an undisputed juggernaut, with venture capital firms reportedly extending investment offers at a staggering $800 billion valuation -- more than double its $380 billion Series G valuation from February 2026. This momentum is fueled by explosive growth, with the company's annual run-rate revenue skyrocketing to $30 billion in April 2026, driven largely by enterprise adoption and the success of Claude Code. Yet, this commercial success is being contested by intense regulatory and technical friction. Anthropic is currently embroiled in a high-stakes legal battle with the U.S. Department of War (DoW), which recently labeled the company a "supply chain risk" after Anthropic refused to allow its models to be used for mass surveillance or fully autonomous lethal weapons. While a San Francisco judge initially blocked the designation, a federal appeals panel recently denied Anthropic's bid to stay the blacklisting, leaving the company excluded from lucrative defense contracts during an active military conflict. Simultaneously, Anthropic is fending off a growing rebellion from its most loyal power users. Despite the company's "market leader" status, developers have flooded GitHub and X with accusations of "AI shrinkflation," claiming that the preceding Opus 4.6 model and Claude Code product have been quietly degraded. Users report that recent versions are more prone to exploration loops, memory loss, and ignored instructions, leading some to describe the newly released Claude Code desktop app as "unpolished" and unbefitting a firm with a near-trillion-dollar valuation. Opus 4.7 is Anthropic's attempt to silence these critics by proving that "deep thinking" can be paired with the rigorous execution that its enterprise clients now demand. Ultimately, Opus 4.7 is a model defined by its discipline. In a market where models are often incentivized to be "helpful" to a fault -- sometimes hallucinating answers to please the user -- Opus 4.7 marks a return to rigor. By allowing users to control effort, set budgets, and verify outputs, Anthropic is moving closer to the goal of a truly autonomous digital labor force. For the engineering teams at Replit, Notion, and beyond, the shift from "watching the AI work" to "managing the AI's results" has officially begun.
Anthropic releases a new Opus model amid Mythos Preview buzz
Anthropic has released its most powerful "generally available" model to date: Claude Opus 4.7. The company called it a step up from Opus 4.6 for advanced software engineering tasks, particularly in complex coding areas that in the past required more hand-holding. It's also supposed to be better at analyzing images and following instructions, and it can exhibit more "creativity" when creating slides and documents, per Anthropic. Opus 4.7 comes on the heels of Mythos Preview, the buzzy cybersecurity-focused model Anthropic announced earlier this month, which the company has said is its most powerful model overall. Comparatively, Opus 4.7 is much more limited. In Opus 4.7's system card, Anthropic wrote that Opus 4.7 doesn't even advance the company's "capability frontier," since Claude Mythos Preview received higher results "on every relevant evaluation." For security reasons, Anthropic is only currently making Mythos Preview available privately to select partners, such as Nvidia, JPMorgan Chase, Google, Apple, and Microsoft. "We stated that we would keep Claude Mythos Preview's release limited and test new cyber safeguards on less capable models first," Anthropic wrote in a blog post. "Opus 4.7 is the first such model: its cyber capabilities are not as advanced as those of Mythos Preview (indeed, during its training we experimented with efforts to differentially reduce these capabilities)." The company said it's releasing the new model with additional cybersecurity safeguards compared to Opus 4.6 and that findings from the deployment of those safeguards "will help us work towards our eventual goal of a broad release of Mythos-class models." The company added that security professionals wishing to use the model for cybersecurity purposes, like vulnerability research, could join its new Cyber Verification Program, which ostensibly would let up on some of the safeguards Anthropic introduced for Opus 4.7. Early testers for Opus 4.7 included Anthropic customers like Intuit, Harvey, Replit, Cursor, Notion, Shopify, Vercel, and Databricks. Pricing remains the same as Opus 4.6, at $5 per million input tokens and $25 per million output tokens, Anthropic said.
Anthropic Launches Claude Opus 4.7 With Enhanced Coding and Cyber Safeguards
Anthropic just dropped Claude Opus 4.7, and the $380 billion AI company isn't messing around. The new model delivers double-digit improvements in coding benchmarks while introducing automated safeguards that block high-risk cybersecurity requests -- a direct response to concerns that forced the company to keep its more powerful Mythos Preview model under wraps. The release comes weeks after Anthropic announced its Claude Mythos Preview was too dangerous for public deployment, with sources indicating government officials were briefed on its advanced cyber capabilities. Opus 4.7 scored 72.5% on SWE-bench Verified at high effort versus 68.6% for its predecessor. Early testers reported more meaningful gains on real-world tasks. Cursor's internal benchmark showed a jump from 58% to 70%. Rakuten claims the model resolves 3x more production tasks than Opus 4.6. The vision upgrade might matter more than the headline numbers suggest. The model now processes images up to 2,576 pixels on the long edge -- roughly 3.75 megapixels, or three times previous limits. XBOW's penetration testing team reported visual acuity scores jumping from 54.5% to 98.5%, effectively unlocking an entire class of computer-use applications. Memory handling got a quiet but significant boost. The model now maintains context across multi-session work using file system-based memory, reducing the context-stuffing that drives up token costs. Here's where it gets interesting for anyone tracking AI risk. Anthropic explicitly stated they "experimented with efforts to differentially reduce" Opus 4.7's cyber capabilities during training. The model ships with automated detection systems that block prohibited cybersecurity uses. Security professionals wanting legitimate access -- vulnerability research, penetration testing, red-teaming -- can apply through a new Cyber Verification Program. This two-tier approach signals Anthropic's strategy for eventually releasing Mythos-class models: prove the safeguards work on less capable systems first. API pricing stays flat at $5 per million input tokens and $25 per million output tokens. The model is live across Claude's consumer products, Amazon Bedrock, Google Cloud's Vertex AI, and Microsoft Foundry. Developers can hit it via . One catch for existing users: the updated tokenizer means identical inputs can map to 1.0-1.35x more tokens depending on content type. Anthropic's migration guide recommends measuring real traffic impact before assuming costs stay constant. Anthropic's February Series G valued the company at $380 billion -- roughly on par with Nvidia's market cap when it first cracked the AI narrative. The Opus 4.7 release, combined with the company's April expansion of its Google and Broadcom compute partnership for "multiple gigawatts" of next-gen infrastructure, suggests the private company is positioning for either an IPO or strategic acquisition. For public market exposure, watch enterprise software companies citing Claude integration in earnings calls. Harvey, Notion, Replit, and Vercel all provided testimonials for this release -- their deployment patterns could signal broader AI infrastructure spend trends heading into Q3.
In Just A Couple Weeks, Strictlyvc San Francisco Brings Leaders From Tdk Ventures, Replit, And More Together
The first StrictlyVC of the year will beryllium coming to San Francisco earlier you cognize it! There are still a fewer tickets disposable to subordinate america and our stacked speaker lineup April 30, astatine the Sentro Filipino Cultural Center. On apical of the mixing and mingling pinch the organization StrictlyVC is known for, this upcoming arena successful the bosom of SF will beryllium of peculiar statement for AI innovators and founders looking for the latest insights into obtaining funding. Who's taking the stage You could get a summons correct now, but for those who haven't been to a StrictlyVC arena successful the past and already clicked that link, let's dive into what's peculiarly breathtaking about this one ... TDK Ventures president Nicolas Sauvage will footwear things disconnected aft you get your requisite beverages and networking in, arsenic he makes the lawsuit for firm VCs successful a speech pinch TechCrunch editor-in-chief Connie Loizos. Sauvage, who leads TDK Ventures' $500 cardinal effort to put successful early-stage startups, will explicate what makes firm VCs run otherwise and what founders should cognize about what catches his oculus successful an investment. And founders connected the obstruction should return note: Sauvage has steered TDK into backing 52 startups and 3 unicorns -- Groq, Ascend Elements, and Silicon Box -- during his tenure. TDK will besides beryllium hosting and sponsoring this StrictlyVC event, truthful attendees will get ample opportunity to study from and get immoderate imaginable look clip pinch their team. Then we'll move to a speech pinch Campbell Brown, erstwhile CNN big and caput of news astatine Meta who has since made the pivot toward the startup segment arsenic she looks to make AI platforms much trustworthy while much and much group move to them for proposal and information. She's now the co-founder and CEO of Forum AI, and successful the heavy of the speech complete really to vet, verify, and prolong the veracity of accusation provided by LLMs. And those who are likewise a portion of the AI gyration will beryllium excited to perceive that Amjad Masad, co-founder and CEO of Replit, is besides taking to the shape to stock his firsthand acquisition helping lead a gyration successful really package is constructed. The emergence of vibe coding has changed the ways galore person worked, particularly successful the Bay Area, and that's besides brought successful immoderate potent competitors for illustration Anthropic and OpenAI. Anyone looking for a peek into the early of programming is going to request to subordinate america and instrumentality about for Masad's talk. As if that each wasn't breathtaking enough, we still person 1 much speaker to announce, truthful you'll beryllium getting moreover much insights and expertise starring into the concluding information of networking and connection-making that defines the existent proving constituent of StrictlyVC. Some of the top minds and about well-connected members of the startup organization subordinate america for these events, and you could beryllium a portion of it by registering, truthful get your summons today!
Accenture invests in Replit to advance AI-driven software development for enterprises
Global professional services giant Accenture has strategically invested in AI software development platform Replit. This collaboration aims to accelerate AI-driven software creation for businesses worldwide. Accenture will integrate Replit's technology internally to boost productivity and assist clients in adopting AI tools for their development processes, signaling a significant shift in how software is built. Accenture has made a strategic investment in Replit, a US-based artificial intelligence (AI) software development platform, as part of its efforts to accelerate AI-driven software creation for enterprises. The financial terms of the transaction were not disclosed. The companies will collaborate to explore how AI-assisted development can be applied in enterprise environments. Accenture will also adopt Replit's technology internally to enhance productivity and support its clients in integrating AI tools into their development workflows. Replit, founded in 2016 by Amjad Masad, offers an online integrated development environment (IDE) that allows developers to write, test, and deploy code collaboratively in the cloud. The company has been expanding its enterprise-focused offerings through its "vibecoding" tools. Announcing the partnership on social media, Masad said Accenture's investment and collaboration would "bring secure vibecoding to enterprises globally." "Accenture is investing in Replit, adopting it internally, and working with us to bring secure vibecoding to enterprises globally," he wrote, adding, "The way software gets built is changing. Every company will need to reinvent how they build and operate." Accenture, one of the world's largest professional services firms with over 700,000 employees, has been ramping up its AI-related capabilities through investments, acquisitions, and partnerships.
Accenture and Replit Enter Strategic Partnership to Advance Ai-Driven Software Development for Enterprises
Accenture and Replit entered in to strategic Partnership, to help enterprises accelerate the creation of new digital platforms using AI-driven software development. As part of this investment, the two companies are also entering into a strategic partnership. As part of this partnership, Accenture will collaborate with Replit to explore how AI-driven development can be applied to enterprise environments. The teams will work together to identify practical use cases and new development workflows that can be scaled to Accenture?s clients globally. By combining Accenture?s expertise in scaling emerging technologies for large organizations with Replit?s cloud-based software creation platform, this partnership aims to help enterprises adopt AI-driven development safely while integrating it into existing engineering practices and technology ecosystems.
Workday's CTO traded his C-suite title for a technical staff role at Anthropic
In short: Peter Bailis, who joined Workday as chief technology officer in May 2025, left the company last month and has taken a role as member of technical staff at Anthropic, where he will focus on reinforcement learning engineering. The move strips away a C-suite title in exchange for technical proximity to the frontier, and lands Bailis inside a company that is now openly building the kind of HR software that Workday sells. The hire was confirmed by an Anthropic spokesperson and reported by Business Insider. Bailis's profile on Workday's leadership pages has been removed, and his LinkedIn profile reflects the transition. Before joining Workday, Bailis served as vice president of engineering at Google Cloud, where he led AI for data initiatives including Conversational Analytics, NL2SQL, and retrieval-augmented generation for structured data. Prior to that he founded and ran Sisu Data, a decision intelligence company, and was an assistant professor of computer science at Stanford University, where he co-led the DAWN project on data-intensive applications. His research background in data systems and his recent enterprise AI work at Google Cloud make him an unusual profile for a reinforcement learning hire -- and one that signals Anthropic's interest in engineering that bridges model training and applied product development. The title Bailis has accepted at Anthropic, member of technical staff, or MTS, is the standard engineering designation at both Anthropic and OpenAI, applied across research and engineering regardless of seniority. OpenAI president Greg Brockman has explained the structure publicly, saying the labs did not want to "bucket people into researchers and engineers," treating the MTS title as a signal of flat technical hierarchy rather than an organisational step down. In practice, the title spans a very wide range of seniority and compensation: MTS base salaries at Anthropic run from approximately $300,000 to $405,000, while at OpenAI the band stretches from roughly $210,000 to $530,000, with equity grants pushing total compensation well into seven figures for senior positions. For Bailis, the trade-off is explicit. A CTO role at a company of Workday's scale, roughly $8 billion in annual revenue, 18,000 employees -- carries institutional authority of a kind that an individual contributor role at even a frontier AI lab does not. What it does carry, however, is directness: access to the models being built, the training decisions being made, and the research agenda being set, without the layers of organisational management that sit between a CTO and the actual work. Anthropic, which now reports a revenue run rate exceeding $30 billion and has more than 1,000 enterprise customers each spending over $1 million annually, is no longer a research lab that happens to generate revenue -- and for a technically ambitious executive, the scale of the engineering questions it is now confronting is a draw in itself. The Anthropic spokesperson confirmed that Bailis will work on reinforcement learning engineering. That is a broad remit at a company where reinforcement learning from human feedback underpins model alignment, and where RL-based training techniques are also being applied to agent behaviour and tool use. What Bailis brings beyond general engineering capability is deep familiarity with the enterprise software stack that Anthropic is now moving into as a product company, not merely as an API provider. Specifically, The Information reported that Bailis's arrival coincides with Anthropic's push to build HR applications. Anthropic has already launched Claude plugins for HR use cases, including generating job descriptions, onboarding materials, and offer letters. Bailis spent the past several years inside the enterprise HR and finance software world, first at Google Cloud, where he built AI products that plugged into structured enterprise data, and then as Workday's CTO, where he led the company's agentic AI strategy. That domain expertise is now being pointed at Anthropic's enterprise product roadmap from the inside. The competitive irony is pointed. Workday's CEO, Carl Eschenbach, stated publicly in February 2026 that Anthropic, Google, and OpenAI all use Workday's software internally. The company that bought licences from Workday has now hired its CTO to build products that will compete for the same enterprise HR budgets. Bailis's hire makes more sense in the context of how aggressively Anthropic has been building enterprise distribution infrastructure over the past several months. In early March, Anthropic launched a marketplace for Claude-powered enterprise software, allowing companies with committed API spend to purchase third-party applications built on Claude, with Anthropic foregoing the revenue cut that cloud hyperscalers typically charge. Launch partners included Snowflake, legal AI firm Harvey, and developer platform Replit. Days later, Anthropic committed $100 million to a new Claude Partner Network with Accenture, Deloitte, Cognizant, and Infosys as anchors, formalising consulting relationships designed to accelerate Claude deployments inside the world's largest enterprises. The company said it expected to increase that commitment in subsequent years and was scaling its partner-facing headcount fivefold. Separately, Anthropic has been in talks to anchor a joint venture with private equity firms including Blackstone that would embed Claude across portfolio companies in exchange for roughly $200 million of Anthropic's own capital. Enterprise customers now represent approximately 80% of Anthropic's revenue, and the company's head of enterprise product has described its positioning as a platform rather than a product -- one that aims to operate inside existing enterprise workflows rather than to displace the software those workflows run on. In practice, the distinction is difficult to maintain cleanly: if Claude can generate offer letters, onboarding packs, and job descriptions, it is beginning to substitute for the value that HR software platforms deliver, even if it sits technically alongside them. Bailis is not the first senior enterprise technology executive to trade a corporate title for an individual contributor role at a frontier AI lab. The pattern has been described by observers as rare but growing: executives at the top of established technology companies choosing proximity to cutting-edge research over the authority that comes with managing large organisations. The motivation, where it has been articulated, tends to be the same -- a sense that the most consequential technical work is happening at AI labs, and that watching it from a CTO seat at an enterprise software company is a worse position than doing it. For companies like Workday, the pattern presents a specific challenge. The CTO role is a competitive signal as much as an operational one -- it attracts technical talent, shapes engineering culture, and communicates to the market that the company is at the frontier of what it does. Established enterprise software companies restructuring their leadership and technical strategies in the face of AI disruption is now a recurring story. Workday has not announced a replacement for Bailis. The company is currently rolling out its own Agent Builder tools, which allow enterprise customers to build AI agents on top of Workday's data, and the CTO position is central to positioning that product as differentiated from the Claude-based alternatives that Anthropic is now building with Bailis's help.
Accenture Invests in Replit to Advance AI-Driven Software Development for Enterprises
Accenture (NYSE: ACN) has invested, through Accenture Ventures , in Replit , an AI-powered software creation platform company, to help enterprises accelerate the creation of new digital platforms using AI-driven software development. As part of this investment, the two companies are also entering into a strategic partnership. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260409125745/en/ As organizations across industries pursue AI-driven reinvention, the way software is built is beginning to shift. Traditional development cycles -- often slowed by complex environments, infrastructure setup, and lengthy coding processes -- are giving way to AI-native approaches that enable teams to move from idea to working application in significantly less time using natural language prompts and agentic AI -- an approach increasingly referred to as "vibe coding." As part of this partnership, Accenture will collaborate with Replit to explore how AI-driven development can be applied to enterprise environments. The teams will work together to identify practical use cases and new development workflows that can be scaled to Accenture's clients globally. "Every enterprise wants to move faster -- from idea to working application, and from prototype to production," said Ram Ramalingam, global lead for Software and Platform Engineering at Accenture. "Our collaboration with Replit puts that capability in the hands of more teams, breaking down the barriers between business vision and technical execution." Replit provides a cloud-based platform that combines coding environments with AI-powered development assistance, collaboration tools, and hosting infrastructure in a single workspace. With AI agents capable of generating and modifying code from natural language prompts, teams can rapidly build prototypes, iterate ideas, and deploy applications without the traditional complexity of configuring development environments. "Our mission has always been to make software creation accessible to anyone with an idea," said Ghazi Masood, Chief Revenue Officer at Replit. "Partnering with Accenture will allow us to bring AI-driven software development to more enterprises and jointly help teams move from ideas to production faster than ever." By combining Accenture's expertise in scaling emerging technologies for large organizations with Replit's cloud-based software creation platform, this partnership aims to help enterprises adopt AI-driven development safely while integrating it into existing engineering practices and technology ecosystems. Accenture is a leading solutions and services company that helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across the enterprise, bringing together the talent of our approximately 786,000 people, our proprietary assets and platforms, and deep ecosystem relationships. Our strategy is to be the reinvention partner of choice for our clients and to be the most client-focused, AI-enabled, great place to work in the world. Through our Reinvention Services we bring together our capabilities across strategy, consulting, technology, operations, Song and Industry X with our deep industry expertise to create and deliver solutions and services for our clients. Our purpose is to deliver on the promise of technology and human ingenuity, and we measure our success by the 360° value we create for all our stakeholders. Visit us at accenture.com . About Replit Replit is the agentic software creation platform that enables anyone to build applications using natural language. The company, founded in 2016, has over 50 million users worldwide, including users at 85% of the Fortune 500 companies. Teams at enterprises including Atlassian, Adobe, Databricks and Zillow use Replit to build apps, and the company has partnerships with Google, Stripe and Slack among others. Replit, headquartered in San Francisco, United States, recently introduced Agent 4, its most powerful product yet. For more information, visit https://replit.com/ .
Accenture Invests in Replit to Advance AI-Driven Software Development for Enterprises
Accenture (NYSE: ACN) has invested, through Accenture Ventures , in Replit , an AI-powered software creation platform company, to help enterprises accelerate the creation of new digital platforms using AI-driven software development. As part of this investment, the two companies are also entering into a strategic partnership. This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260409125745/en/ As organizations across industries pursue AI-driven reinvention, the way software is built is beginning to shift. Traditional development cycles -- often slowed by complex environments, infrastructure setup, and lengthy coding processes -- are giving way to AI-native approaches that enable teams to move from idea to working application in significantly less time using natural language prompts and agentic AI -- an approach increasingly referred to as "vibe coding." As part of this partnership, Accenture will collaborate with Replit to explore how AI-driven development can be applied to enterprise environments. The teams will work together to identify practical use cases and new development workflows that can be scaled to Accenture's clients globally. "Every enterprise wants to move faster -- from idea to working application, and from prototype to production," said Ram Ramalingam, global lead for Software and Platform Engineering at Accenture. "Our collaboration with Replit puts that capability in the hands of more teams, breaking down the barriers between business vision and technical execution." Replit provides a cloud-based platform that combines coding environments with AI-powered development assistance, collaboration tools, and hosting infrastructure in a single workspace. With AI agents capable of generating and modifying code from natural language prompts, teams can rapidly build prototypes, iterate ideas, and deploy applications without the traditional complexity of configuring development environments. "Our mission has always been to make software creation accessible to anyone with an idea," said Ghazi Masood, Chief Revenue Officer at Replit. "Partnering with Accenture will allow us to bring AI-driven software development to more enterprises and jointly help teams move from ideas to production faster than ever." By combining Accenture's expertise in scaling emerging technologies for large organizations with Replit's cloud-based software creation platform, this partnership aims to help enterprises adopt AI-driven development safely while integrating it into existing engineering practices and technology ecosystems. Accenture is a leading solutions and services company that helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across the enterprise, bringing together the talent of our approximately 786,000 people, our proprietary assets and platforms, and deep ecosystem relationships. Our strategy is to be the reinvention partner of choice for our clients and to be the most client-focused, AI-enabled, great place to work in the world. Through our Reinvention Services we bring together our capabilities across strategy, consulting, technology, operations, Song and Industry X with our deep industry expertise to create and deliver solutions and services for our clients. Our purpose is to deliver on the promise of technology and human ingenuity, and we measure our success by the 360° value we create for all our stakeholders. Visit us at accenture.com . About Replit Replit is the agentic software creation platform that enables anyone to build applications using natural language. The company, founded in 2016, has over 50 million users worldwide, including users at 85% of the Fortune 500 companies. Teams at enterprises including Atlassian, Adobe, Databricks and Zillow use Replit to build apps, and the company has partnerships with Google, Stripe and Slack among others. Replit, headquartered in San Francisco, United States, recently introduced Agent 4, its most powerful product yet. For more information, visit https://replit.com/ .
Accenture Invests in Replit to Advance AI-Driven Software Development for Enterprises
Accenture has invested, through Accenture Ventures, in Replit, an AI-powered software creation platform company, to help enterprises accelerate the creation of new digital platforms using AI-driven software development. As part of this investment, the two companies are also entering into a strategic partnership. As organizations across industries pursue AI-driven reinvention, the way software is built is beginning to shift. Traditional development cycles -- often slowed by complex environments, infrastructure setup, and lengthy coding processes -- are giving way to AI-native approaches that enable teams to move from idea to working application in significantly less time using natural language prompts and agentic AI -- an approach increasingly referred to as "vibe coding." Marketing Technology News: MarTech Interview With Fredrik Skantze, CEO and Co-founder of Funnel As part of this partnership, Accenture will collaborate with Replit to explore how AI-driven development can be applied to enterprise environments. The teams will work together to identify practical use cases and new development workflows that can be scaled to Accenture's clients globally. "Every enterprise wants to move faster -- from idea to working application, and from prototype to production," said Ram Ramalingam, global lead for Software and Platform Engineering at Accenture. "Our collaboration with Replit puts that capability in the hands of more teams, breaking down the barriers between business vision and technical execution." Marketing Technology News: The Death of Third-Party Cookies Was Just the Start. Are You Ready for Consent Orchestration? Replit provides a cloud-based platform that combines coding environments with AI-powered development assistance, collaboration tools, and hosting infrastructure in a single workspace. With AI agents capable of generating and modifying code from natural language prompts, teams can rapidly build prototypes, iterate ideas, and deploy applications without the traditional complexity of configuring development environments. "Our mission has always been to make software creation accessible to anyone with an idea," said Ghazi Masood, Chief Revenue Officer at Replit. "Partnering with Accenture will allow us to bring AI-driven software development to more enterprises and jointly help teams move from ideas to production faster than ever." By combining Accenture's expertise in scaling emerging technologies for large organizations with Replit's cloud-based software creation platform, this partnership aims to help enterprises adopt AI-driven development safely while integrating it into existing engineering practices and technology ecosystems.
Accenture invests in Replit to advance AI-driven software development for enterprises
This super composite rating is the result of a weighted average of the rankings based on the following ratings: Fundamentals (Composite), Global Valuation (Composite), EPS Revisions (1 year), and Visibility (Composite). We recommend that you carefully review the associated descriptions. This composite rating is the result of an average of the rankings based on the following ratings: Fundamentals (Composite), Valuation (Composite), Financial Estimates Revisions (Composite), Consensus (Composite), and Visibility (Composite). The company must be covered by at least 4 of these 5 ratings for the calculation to be performed. We recommend that you carefully review the associated descriptions.
Accenture Invests in AI Software Platform Replit
This super composite rating is the result of a weighted average of the rankings based on the following ratings: Fundamentals (Composite), Global Valuation (Composite), EPS Revisions (1 year), and Visibility (Composite). We recommend that you carefully review the associated descriptions. This composite rating is the result of an average of the rankings based on the following ratings: Fundamentals (Composite), Valuation (Composite), Financial Estimates Revisions (Composite), Consensus (Composite), and Visibility (Composite). The company must be covered by at least 4 of these 5 ratings for the calculation to be performed. We recommend that you carefully review the associated descriptions.
Accenture Invests In Replit
DUBLIN (dpa-AFX) - Accenture (ACN) has invested, through Accenture Ventures, in Replit, an AI-powered software creation platform company, to help enterprises accelerate the creation of new digital platforms using AI-driven software development. Accenture will collaborate with Replit to explore how AI-driven development can be applied to enterprise environments. Terms of the investment were not disclosed. The companies are also entering into a strategic partnership. Replit provides a cloud-based platform that combines coding environments with AI-powered development assistance, collaboration tools, and hosting infrastructure in a single workspace. In pre-market trading on NYSE, Accenture shares are up 0.15 percent to $192.49. Copyright(c) 2026 RTTNews.com. All Rights Reserved Copyright RTT News/dpa-AFX© 2026 AFX News
Accenture Invests In Replit
(RTTNews) - Accenture (ACN) has invested, through Accenture Ventures, in Replit, an AI-powered software creation platform company, to help enterprises accelerate the creation of new digital platforms using AI-driven software development. Accenture will collaborate with Replit to explore how AI-driven development can be applied to enterprise environments. Terms of the investment were not disclosed. The companies are also entering into a strategic partnership. Replit provides a cloud-based platform that combines coding environments with AI-powered development assistance, collaboration tools, and hosting infrastructure in a single workspace. In pre-market trading on NYSE, Accenture shares are up 0.15 percent to $192.49.
