LangChain, a company developing tools to build, deploy, and manage AI agents, has raised $300 million in new funding at a $3 billion valuation. The latest investment brings the company’s total funding to $460 million.
The funding round was led by existing investor CapitalG, with significant participation from new investors GIC and DFJ Growth. Existing investors IVP and Sapphire Ventures also participated.
The round included additional investments from Salesforce Ventures, Insight Venture Partners, QuantumLight, and MongoDB Ventures, alongside existing investors Sequoia, Amplify, and Benchmark.
LangChain will use the funding to advance its mission of helping businesses build and manage their own AI-powered systems. As companies increasingly adopt AI agents, they are looking for ways to develop specialized agents that can use their internal data, business knowledge, and workflows to improve operations and create new products.
“Agents are going to transform how companies operate and the products they deliver. The companies that control these systems will build lasting competitive advantages,” said Harrison Chase, Co-Founder and CEO of LangChain. “Every company should be free to choose the best models for its needs, control its data and infrastructure, and continuously improve its agents, while maintaining the governance needed to operate securely at scale. We’re building LangSmith to give companies the platform to own their intelligence.”
LangChain provides tools that help businesses build, deploy, monitor, and improve AI agents. Its platform, LangSmith, is used by more than 7,000 organizations, including startups such as Harvey, Rippling, and Listen Labs, as well as large companies like Nvidia, Toyota, and Salesforce.
LangSmith is also being employed by enterprises for efficient handling of AI agents on a large scale. To illustrate, Clay is utilizing the service in order to keep track of the functioning of hundreds of millions of agents operating on a monthly basis. LangSmith is also employed by Workday for implementing and maintaining AI agents, where the time required to launch a new agent has dropped to less than a day compared to five months it would otherwise take.
LangSmith is focused on three primary areas of aiding businesses: agent runtime, agent improvement and agent governance.
“The transition from experimental LLM applications to production-grade agents is one of the most significant shifts happening in enterprise software today,” said Mo Jomaa, Partner at CapitalG. “Harrison and the LangChain team have built a foundational platform for agent engineering, earning the trust of thousands of developers and global enterprises. We are thrilled to deepen our partnership as they give companies greater control over the intelligent systems that will power the next generation of software.”
In terms of agent runtime, the tools offered by LangSmith help developers design and operate AI agents. The agent improvement tools allow corporations to test, follow, and enhance their agents’ performance; agent governance provides centralized management over AI’s models, tools, access to and security policies on data.
LangChain intends to invest the funds in the improvement of its platform given that organizations are now making the transition from experimenting with AI agents to utilizing them.
