AI development startup LangChain has raised $125 million in a Series B funding round. The investment values the company at $1.25 billion.
LangChain will use the capital to expand its tools for building and deploying reliable AI agents.
The round was led by IVP, with participation from Sequoia, Benchmark, and new investors including CapitalG and ServiceNow Ventures.
LangChain provides a framework that connects large language models to external data sources and applications. For example, an AI agent can use LangChain to search the web or access a company's internal database to answer questions with real-time information. The company aims to solve a key challenge in AI development.
While AI agents are easy to prototype, they are often difficult to make reliable enough for business use. LangChain offers a process it calls agent engineering. Its commercial platform, LangSmith, provides tools for developers to monitor, evaluate, and manage their AI agents in production.
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Enterprises such as Cisco, Workday, and Cloudflare already use LangChain's tools.
The company provides both an open-source framework and proprietary platforms to support developers. Investors see LangChain's potential to become a foundational infrastructure company for the AI industry, similar to Datadog or Crowdstrike in their respective fields.
