News & Updates
The latest news and updates from companies in the WLTH portfolio.
Anthropic unveils standard linking AI agents to physical devices
Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.
Anthropic rolls out AI framework for labs and manufacturing
SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.
Anthropic Sued By Sony Music, Warner Chappell Music, Other Music Publishers Over Alleged Mass Piracy Of Copyrighted Songs
Anthropic has been sued by Sony Music Publishing, Warner Chappell Music and other major music publishers, which accuse the artificial intelligence company of illegally obtaining and using thousands of copyrighted musical works to train its Claude AI models. The publishers filed the lawsuit Friday in the U.S. District Court for the Northern District of California, naming Anthropic and co-founders Dario Amodei and Benjamin Mann as defendants. They accused the AI company and its founders of conducting what they described as a "brazen campaign of illegally torrenting, scraping, and downloading copyrighted works" on a massive scale. The case adds the music industry to a growing legal battle over how AI companies obtain the enormous quantities of copyrighted material needed to train generative AI systems. "Defendants Anthropic and its founders Dario Amodei and Benjamin Mann have conducted a brazen campaign of illegally torrenting, scraping, and downloading copyrighted works on a massive scale in order to develop, operate, and reap enormous profits from Anthropic's 'Claude' series of artificial intelligence ('AI') models," the publishers said in the complaint. Sony Music Publishing and Warner Chappell said Anthropic obtained "thousands upon thousands" of copyrighted songs, including "Eye of the Tiger," Marvin Gaye's "Ain't No Mountain High Enough," Mariah Carey's "All I Want for Christmas is You" and Taylor Swift's "Paper Rings." The publishers allege that Anthropic acquired copyrighted material through several sources, including Library Genesis and Pirate Library Mirror, two digital archives that have been associated with pirated books and other content. The lawsuit builds on an earlier copyright case against Anthropic involving books. In June 2025, a federal judge ruled that Anthropic had downloaded more than 7 million pirated books to train Claude. The music publishers argue that those books also contained lyrics and sheet music belonging to their catalogues. They identified works including Bon Jovi's "Livin' On a Prayer," Earth, Wind & Fire's "September," Jerry Lee Lewis' "Great Balls of Fire," the Allman Brothers Band's "Ramblin' Man," and Leonard Cohen's "Hallelujah." According to the complaint, the alleged infringement goes beyond the use of copyrighted works during model training. The publishers claim Claude can generate identical or nearly identical versions of copyrighted material in response to users' prompts. That allegation could become crucial because the case raises two separate questions for the AI industry: whether copyrighted works can lawfully be used to train AI models and whether AI systems can reproduce protected works closely enough to constitute infringement when responding to users. The publishers argue that training Claude on copyrighted compositions enables Anthropic to generate lyrics that could compete directly with music created by human songwriters. "Even the most revolutionary of technologies must develop within the bounds of the law, and Anthropic's Claude models are no different," the publishers said in the complaint. They are seeking statutory damages and have requested a jury trial. Under U.S. copyright law, statutory damages can reach $150,000 per infringed work when the infringement is found to be willful. The potential exposure could therefore become substantial if the publishers succeed in establishing infringement across a large catalogue. The lawsuit marks another escalation in the confrontation between copyright owners and AI companies over training data. Generative AI systems require enormous datasets to develop their capabilities, creating a direct conflict with industries whose books, articles, photographs, music and other creative works form part of the material that AI companies seek to acquire. For the music industry, the dispute has implications beyond compensation. Publishers and songwriters are becoming more concerned that generative AI could become a competitor to the very creators whose work helped train the systems. The legal strategy also comes at a time when Anthropic is already facing significant financial exposure from copyright litigation. In September, the company agreed to pay more than $1.5 billion to settle a class-action lawsuit brought by authors over the use of pirated books. Other major AI companies have faced similar lawsuits. OpenAI has been sued by publishers and content owners, including The New York Times and Encyclopedia Britannica, over allegations concerning the use of copyrighted material to train and operate its AI systems. The cases could ultimately help determine the economics of the AI industry. If courts require companies to obtain licenses for large quantities of copyrighted training material, the cost of developing and operating AI models could rise substantially. If courts allow broader use of copyrighted material under fair use or other legal doctrines, publishers, authors, musicians and other rights holders could face greater pressure to adapt their business models. The Anthropic case could be especially consequential because music is subject to multiple layers of copyright protection, including rights in compositions and, in many cases, separate rights in sound recordings. A ruling against Anthropic could therefore have implications for how AI companies collect, process, and reproduce musical content at scale.
Anthropic unveils standard linking AI agents to physical devices
Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.
Anthropic unveils standard linking AI agents to physical devices
Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.
Anthropic unveils standard linking AI agents to physical devices
Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.
Anthropic unveils standard linking AI agents to physical devices
Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.
Salesforce Stock Soars 23% on Real Agentforce Growth, Not Just Anthropic Gains - Startup Fortune
Salesforce shares jumped roughly 23% this week after a Q2 beat, but the real story isn't the one-time Anthropic windfall padding the headline number. It's Agentforce ARR growing 240% year over year. If you're asking why Salesforce stock jumped 23%, here's the answer: the company posted fiscal 2027 second-quarter revenue of $11.35 billion, edging past the $11.32 billion Wall Street expected, and non-GAAP earnings per share of $5.90 against a $3.27 estimate, according to CNBC. Shares surged 22.6% on August 27, the stock's second-best day ever, trailing only a roughly 26% jump in August 2020. Marc Benioff got his mojo back, and investors noticed. Here's the part that matters and the part that's a distraction, tangled together in the same earnings report. A big chunk of that EPS beat came from paper gains, not operations. Salesforce booked a $2.6 billion gain on its strategic investment in Anthropic, the maker of Claude, according to the Motley Fool. That single line item accounted for a large share of the $5.90 adjusted per-share profit. Strip it out and the beat looks a lot less dramatic. Investors who only read the headline EPS number are reading an accounting event, not a business trend. The timing wasn't a coincidence, either. Salesforce and Anthropic used the earnings window to unveil Claudeforce, a partnership that plugs Salesforce data directly into Anthropic's Claude chatbot for salespeople. Benioff and Anthropic CEO Dario Amodei announced it together. That's a real product move, not just a portfolio markup, and it's fair to read the stock's move as investors betting on both at once: the AI stake paying off and the AI product roadmap deepening. Salesforce spends $3.6 billion on Fin to buy proof it could not build in time Salesforce is acquiring Fin, the AI customer service company formerly known as Intercom, for $3.6 billion in a deal that folds a proven autonomous support agent into Agentforce. Fin's core AI product resolves 76% of inbound support without human handoff and was generating $100 million in ARR growing at 350% annually, implying a 36x multiple on the... - Salesforce acquires Fin for artificial intelligence customer service - how much did Salesforce pay for Fin acquisition Agentforce is the number that should actually move you Frankly, the Anthropic gain is noise next to what's happening inside Agentforce, Salesforce's AI-agent platform. Agentforce annual recurring revenue passed $1.5 billion in the quarter, up more than 240% year over year. Combine that with Data 360, Salesforce's data platform, and total AI-related ARR hit nearly $3.9 billion, up over 210%. Agentic workflows processed 3.2 billion actions in the quarter, up 97% sequentially. That's usage, not just bookings. This is the clearest proof point yet that AI agents are converting into recurring revenue rather than staying a pilot-project talking point. Enterprise software has spent two years promising that agentic AI would eventually show up on an income statement. Salesforce just put a number on it, and it's a number that's growing faster than the core CRM business ever did at this scale. Salesforce also raised its full-year fiscal 2027 revenue guidance to $46.1 billion to $46.4 billion, up from $45.9 billion to $46.2 billion previously, split between organic strength in Agentforce, Data 360 and Slack, and the pending Contentful and Fin acquisitions. Current remaining performance obligations, a measure of contracted future revenue, grew 14% in constant currency to $33.5 billion, which the company described as its strongest quarter for net new order value in four years. None of that is an accounting artifact. It's actual contracts. For founders pitching agentic products to investors right now, this earnings report is about to become a stock slide in every pitch deck. It gives them something they haven't had before: a large public company showing AI agents converting into measured, recurring revenue at triple-digit growth rates, with usage data to back it up. That's a different pitch than Also read: A critical Gitea flaw is under active attack and 8,300 servers are still exposed * Sony Music and Warner Chappell Sue Anthropic Over Stolen Song Lyrics * A Russian Ransomware Gang Says It Broke Into the ATF's Investigation Files
Anthropic rolls out AI framework for labs and manufacturing
SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.
Anthropic unveils standard linking AI agents to physical devices
Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.
Anthropic rolls out AI framework for labs and manufacturing
SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.
Anthropic unveils standard linking AI agents to physical devices
Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.
Anthropic unveils standard linking AI agents to physical devices
Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.
Anthropic unveils standard linking AI agents to physical devices
Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.
Anthropic unveils standard linking AI agents to physical devices
Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.
Anthropic unveils standard linking AI agents to physical devices
Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.
Anthropic unveils standard linking AI agents to physical devices
Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.
Anthropic unveils standard linking AI agents to physical devices
Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.
Anthropic unveils standard linking AI agents to physical devices
Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.
Anthropic unveils standard linking AI agents to physical devices
Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said SAN FRANCISCO, California: Anthropic has unveiled a new framework that allows AI agents to operate physical equipment, including microscopes and robotic arms, for use in scientific research and advanced manufacturing. The company on August 27 rolled out a research preview of the "Model Hardware Standard," or MHS, which enables AI agents to operate laboratory and manufacturing instruments together and carry out complex tasks. Those tasks can range from routine drug discovery experiments to laser calibration on a quantum computer, Anthropic said. By combining agentic AI capabilities with laboratory and manufacturing hardware, the Claude chatbot maker aims to help researchers and engineers carry out autonomous, round-the-clock workflows with minimal human intervention, helping speed up processes. Anthropic said the standard can work with any device that has a programmable interface and allows devices and AI agents to communicate across networks. The company is sharing an early version of MHS with partners to help develop safety evaluations before making the framework open source.