Our Series C Announcement
Today, we’re announcing that LangChain raised $300M at a $3B valuation to advance our mission to enable every company to own its intelligence. The round was led by existing investor CapitalG, with significant participation from new investors GIC and DFJ Growth and existing investors IVP and Sapphire Ventures.
We believe agents will transform the economy. That future will be shaped by domain-specific agents differentiated by their knowledge, data, and UX. These agents will be sold as standalone products and also used to transform internal company operations. The companies that control these systems will build lasting competitive advantages.
To capture that opportunity, every company will need to own its intelligence. Companies should be free to choose the best models for their needs, control their data and infrastructure, and continuously improve their agents, while maintaining the governance needed to operate securely at scale.
That’s why we’ve built LangSmith, the framework-agnostic platform to run, improve, and govern agents. More than 7,000 organizations already rely on LangSmith, from fast-growing startups like Harvey, Rippling, and Listen Labs to Fortune 500 enterprises like NVIDIA, Toyota, and Salesforce. Clay uses LangSmith to monitor hundreds of millions of agent runs per month and improve their agents. Workday uses LangSmith to run and govern agents across the organization, reducing the time to deploy a new agent from five months to under a day.
LangSmith provides the foundation for companies to control their agent systems across three pillars – Agent Runtime, Agent Improvement, and Agent Governance:
Agent Runtime gives teams the architecture and infrastructure to run agents reliably. Deep Agents, LangGraph, and LangChain give developers flexibility across models and control over how context is managed. LangSmith Agent Server and Sandboxes allow teams to deploy and run agents securely at scale, whether in the cloud or in their environment. LangSmith Managed Agents and Fleet provide fully managed services to build, deploy, and run mission-critical agents in production.
Agent Improvement helps teams test, monitor, and improve agent performance. LangSmith Observability and Evaluation give teams visibility into how agents behave and measure quality. LangSmith Engine, our in-platform agent, automates improvement by finding errors, writing code and prompt fixes, and monitoring production traffic for regressions. LangSmith Fine-Tuning helps teams turn agent traces into training data to fine-tune and evaluate specialized models.
Agent Governance gives teams centralized control over how agents use models, tools, and data. Our LLM and Tool Gateways help teams manage model budgets and fallbacks, protect sensitive data, and govern tool access and authentication across teams and agents.
Next Friday, November 20th, we’ll share several new LangSmith capabilities that build on this foundation. Join us for a special release event to see what’s coming next.
LangSmith has been shaped by our fantastic community – from our developer evangelists to the customers we’re lucky enough to partner with. Thank you all for your feedback, insights, and trust.
There’s still so much left to build. Building high performing agents is harder than it should be, and we‘re determined to change that. Come join us in making it easier for every company to own its intelligence.
Harrison
Thank you to our new and existing investors for helping make this journey possible. We’re excited to welcome Salesforce Ventures, Insight Venture Partners, QuantumLight, and MongoDB Ventures, and grateful to Sequoia, Amplify, and Benchmark for doubling down in this round.
