Anthropic has acquired Stainless, a startup that generates SDKs, command-line tools, and MCP servers from API specifications, in a move analysts say targets the “last mile” of developer experience.
Founded in 2022 by former Stripe engineer Alex Rattray, Stainless converts API specifications into production-ready SDKs across languages, including Python, TypeScript, Kotlin, Go, and Java.
Stainless does not sell primarily to enterprises, but its tools form part of the software development chain that enterprise teams may rely on. They help generate SDKs, documentation, and MCP servers that developers can use to connect AI models, cloud services, and APIs to business applications.
In a statement, Stainless said it will wind down all hosted products, including its SDK generator, as the team shifts focus to Claude Platform capabilities and connecting agents to APIs. Existing customers will retain the right to modify and extend SDKs they have already generated.
This could have competitive impl
The world's richest man Elon Musk lost his blockbuster lawsuit against artificial intelligence giant OpenAI on Monday, with a federal jury finding that the tycoon had waited too long to bring his case forward. The trial saw some of the most powerful figures in Silicon Valley go head-to-head with their competing ambitions for the rapidly changing technology.
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SandboxAQ, the Alphabet spinout chaired by former Google CEO Eric Schmidt, has partnered with Anthropic to embed its large quantitative models directly into Claude, making powerful drug discovery and materials science tools accessible through a natural language interface for the first time. The company’s proprietary LQMs are physics-grounded AI models trained on real-world lab data […]
Anthropic has acquired Stainless, a New York-based developer tools startup founded by former Stripe engineer Alex Rattray, in a deal reported to be worth more than $300 million. The acquisition removes a critical piece of shared AI infrastructure from competitors, as Anthropic confirmed it will wind down all hosted Stainless products and restrict access exclusively […]
While proprietary AI models such as OpenAI’s ChatGPT and Google Gemini remain popular, the tide may be shifting to open models as IT leaders move to customize AI and control costs.
Sometimes known as “open-weight models,” the alternatives to large language models (LLMs) can provide decision-makers with better visibility and control over internal AI use, which closed models do not, analysts said. They can also help IT leaders control the economics and governance of AI within their organizations.
“It’s almost like these blank canvases are available now and then you can paint it on your own,” said Deepak Seth, senior director analyst at Gartner. “You don’t have to make the canvas itself. So you’re not starting from scratch, even when you’re building your own model.”
Open models are free to download and use. Users can tweak and deploy them to meet their own requirements, similar to the way Linux OS is available for anyone to download, tweak, and use.
Open models have been gaining traction