Analysis
LangChain, the San Francisco startup behind one of the most widely used open-source frameworks for building AI agents, has raised $300 million at a $3 billion valuation in a round led by Alphabet's CapitalG, SiliconANGLE reported on November 12, 2026, following a Wall Street Journal report the same day. IVP, Sapphire Ventures, GIC and DFJ Growth joined the round.
Per Dealroom, the $3 billion valuation is 2.4 times the $1.25 billion mark LangChain set with its $125 million Series B in October 2025, and IVP and Sapphire are returning investors while GIC and DFJ Growth are new.
Dealroom's headline calls it a tripling; measured against the Series B valuation, the step-up is 2.4x.
“Dealroom's headline calls it a tripling; measured against the Series B valuation, the step-up is 2.4x.”
What does LangChain do?
LangChain is best known for the eponymous open-source framework, released in 2022, that reduces the work involved in building AI agents, SiliconANGLE says. Around it sit LangGraph, an open-source tool for linking multiple agents into workflows that can include human approval steps for sensitive actions, and Deep Agents, an open-source extension that adds a virtual file system, work planning and subagent generation. The company makes money from LangSmith, a paid suite for building, versioning, comparing and monitoring agents in production, including tracing and observability. SiliconANGLE names Autodesk and Cisco among LangSmith users, and Workday's chief AI officer Joel Hellermark said the company uses LangChain's tools to build agents in its platform, per Dealroom.
Co-founder and CEO Harrison Chase runs a company of 435 full-time staff, Dealroom reports, and LangChain plans to nearly double headcount to 850 by the end of 2027, with hires in infrastructure, AI engineering, sales and marketing. The new money goes mainly into expanding LangSmith for large companies that want to build, manage and deploy their own agents.
How much has LangChain raised?
Pulse tracks the company on its LangChain hub. The July 2025 item below was a press report that SiliconANGLE published before the October Series B announcement, and it may describe an early stage of that same round, so we do not add the two together.
Value Add VC data
- Jul 2025, press report (possibly the Series B in progress) -- $100M at a reported $1.1B valuation (SiliconANGLE)
- Oct 2025, Series B -- $125M at $1.25B, led by IVP (SiliconANGLE)
- Nov 2026, growth round -- $300M at $3B, led by CapitalG (SiliconANGLE)
The valuation went from $1.25B to $3B in 13 months, a 2.4x step-up. On our math, the new round implies roughly 10% dilution, similar to the Series B.
Who invested in LangChain
CapitalG led this round. In the October 2025 Series B, IVP led, with CapitalG, ServiceNow Ventures, Workday Ventures, Cisco Investments, Datadog and Databricks among the backers, SiliconANGLE reported then. Earlier investors include Benchmark, Sequoia and Amplify Partners, per a July 2025 SiliconANGLE report. CapitalG moving from participant to lead is the change in this round; our CapitalG page lists its other bets, including Fractile, which Pulse covered this week in its $720M Series C.
AI agent tooling market and LangChain competitors
CapitalG partner Mo Jomaa called it "an insanely competitive market," per Dealroom. The threat comes from above: model makers OpenAI and Anthropic, and cloud giants Amazon and Microsoft, are all building their own agent infrastructure. Dealroom set the round against two recent infrastructure deals:
- Daytona -- $60M at a $1B valuation, for agent testing (Dealroom)
- Temporal -- $550M at a $12.55B valuation, a workflow platform (Dealroom)
BCC Research projects the AI agents market will grow from $8 billion in 2025 to $48.3 billion by the end of 2030, a 43.3% annual rate, per its market release.
The risk is that neither source discloses LangChain's revenue or ARR, so the $3B price cannot be checked against a sales multiple. Open-source downloads do not pay the bills; LangSmith does. If the labs whose models LangChain orchestrates ship good-enough agent tooling of their own, the framework stays popular while the paid layer gets squeezed, and the 850-person plan becomes the cost to cut first.