Company intelligence

LangChain

LangChain builds an open-source framework (and LangGraph/LangSmith platform) for developing, orchestrating, and monitoring LLM-powered applications and AI agents.

Developer toolsSan Francisco, California, USAFounded 2023Founders: Harrison Chase, Ankush GolaWebsite ↗
Last verified Jul 30, 2026

Key Metrics

Valuation
$1.25B
As of Jul 30, 2026Value Add Pulse research
Total funding
$260M
As of Jul 30, 2026Value Add Pulse research

Company Snapshot

LangChain is a Developer tools company, based in San Francisco, California, USA, founded 2023 by Harrison Chase, Ankush Gola. Latest valuation $1.25B (As of Jul 30, 2026, Value Add Pulse research). Total funding $260M (As of Jul 30, 2026).

Recent changes

  1. Jul 30, 2026First reported valuation: $1.25B Value Add Pulse enrichment
  2. Jul 30, 2026First reported total funding: $260M Value Add Pulse enrichment
  3. Oct 20, 2025Raised $125M Series B at a $1.25B valuation LangChain
  4. Oct 20, 2025New investor: Amplify Partners LangChain
  5. Oct 20, 2025New investor: IVP (Institutional Venture Partners) LangChain
Earlier changes (9)
  1. Oct 20, 2025New investor: Sequoia Capital LangChain
  2. Oct 20, 2025New investor: Databricks Ventures LangChain
  3. Oct 20, 2025New investor: CapitalG LangChain
  4. Oct 20, 2025New investor: ServiceNow Ventures LangChain
  5. Oct 20, 2025New investor: Benchmark LangChain
  6. Oct 20, 2025New investor: Frontline Ventures LangChain
  7. Oct 20, 2025New investor: Sapphire Ventures LangChain
  8. Oct 20, 2025New investor: Cisco Investments LangChain
  9. Oct 20, 2025New investor: Workday Ventures LangChain

Funding History

1 event · sources dated per row

Investors

Latest Pulse

  1. A New Agentic Memory Framework Uses 118K Tokens Per Query -- LangMem Burns 3.26MA newly detailed agentic memory framework reportedly answers queries using about 118,000 tokens, versus roughly 3.26 million for the widely used LangMem approach -- a ~28x efficiency gain. As AI agents take on longer, multi-step tasks, how they store and retrieve memory is becoming a decisive factor in both cost and capability.
  2. 7,000 Langflow Servers Are Under Attack -- and LangGraph and LangChain Share the HolesRoughly 7,000 internet-exposed Langflow servers are being actively exploited, and researchers warn the same class of flaws extends to LangGraph and LangChain -- the orchestration backbone of much of today's agent stack. It's a stark reminder that the rush to ship AI agents has outpaced the security hardening underneath them.
  3. 7,000 Langflow Servers Are Under Active Attack -- and LangGraph and LangChain Share the HolesRoughly 7,000 internet-exposed Langflow servers are under active attack, and security researchers warn that the same class of vulnerabilities extends to LangGraph and LangChain -- the de facto plumbing of the agent boom. As enterprises rush AI agents into production, the orchestration layer is emerging as a soft, high-value target.

Coverage Timeline

newest first
  1. AIA New Agentic Memory Framework Uses 118K Tokens Per Query -- LangMem Burns 3.26M
  2. AI7,000 Langflow Servers Are Under Attack -- and LangGraph and LangChain Share the Holes
  3. AI7,000 Langflow Servers Are Under Active Attack -- and LangGraph and LangChain Share the Holes

All Coverage

AI

A New Agentic Memory Framework Uses 118K Tokens Per Query -- LangMem Burns 3.26M

AI

7,000 Langflow Servers Are Under Attack -- and LangGraph and LangChain Share the Holes

AI

7,000 Langflow Servers Are Under Active Attack -- and LangGraph and LangChain Share the Holes

Value Add Research

Related Companies

More on LangChainvs Langflow
Sources & methodologyshow
Where these figures come from
  • LangChainprimary source1 fact
  • Value Add Pulse researchValue Add VC data2 facts

Figures are labelled Reported (a source states it), Estimated, Derived (computed from other facts) or Rumored (in talks / unconfirmed). Rumors never replace a confirmed figure. Each figure keeps its own as-of date; history is preserved rather than overwritten.

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