We’ve raised a $125M Series B at a $1.25B valuation to build the platform for agent engineering.
Thank you to our investors (IVP, Sequoia, Benchmark, Amplify, Sapphire, CapitalG, and more) for your belief in us, and to our customers like Replit, Clay, Vanta, Cloudflare, Rippling, Cisco, Workday, and many more, for your trust and feedback along the way.
Over the past few years, we’ve come to believe building agents requires a new discipline. We call it agent engineering, or the iterative process of refining non-deterministic LLM systems into reliable experiences. It requires a combination of product, engineering, and data science thinking.
The space never stops, and neither do we. Since the launch of `langchain`, developers have told us they want more control, visibility, and flexibility when building agents. In rapid response, we built:
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LangGraph: A lower-level orchestration framework and runtime
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LangChain: Completely revamped with a core agent template and middleware for flexibility, and
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LangSmith: Our platform for taking agents to production with observability, evaluation, and deployment.
This week, we’re launching new capabilities to help you iterate even faster:
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Major 1.0 releases of LangChain and LangGraph marking stability, with a completely revamped
langchainpackage focused on pre-built architectures for common agent patterns, improved model integrations, and no breaking changes until 2.0. Plus, new docs! -
Insights Agent, a new agent in LangSmith Observability that automatically categorizes agent behavior patterns.
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Agent Builder (in private preview) to lower the barrier to entry for building agents with a no code text-to-agent builder experience for business users.
Read the full story and see what’s new.
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