"The startup, which created an eponymous open-source framework for connecting AI apps to real-time data, hopes its tools can become the default building blocks that companies use to unleash a multitude of AI agents-while its investors believe the company has the potential to become as successful as other foundational digital infrastructure companies like CrowdStrike (for cybersecurity) and Datadog (for data monitoring)."
"The solution, the company says, is a new approach that blends product, engineering, and data science-what it calls agent engineering. The company is positioning itself as the connective tissue of the agent era-not just stitching together connectors, but providing the entire life cycle of tools developers need to build, deploy, and monitor agents in production. A company like ServiceNow, for example, might use LangChain to connect an LLM to its internal knowledge base and use it to trigger workflows or track performance."
LangChain raised a $125 million Series B at a $1.25 billion valuation. LangChain created an open-source framework to connect AI applications to real-time data and aims to become the default building blocks for AI agents. Investors in the round include IVP, Sequoia, Benchmark, CapitalG, Sapphire Ventures, ServiceNow Ventures, Workday Ventures, Cisco Investments, Datadog, Databricks, and Frontline. LangChain's tools are used by AI teams at Cisco, Replit, Clay, Cloudflare, Workday, and ServiceNow. LangChain emphasizes agent engineering as a blend of product, engineering, and data science to build, deploy, and monitor reliable agents in production.
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