LangChain raises $300M Series C at a $3B valuation led by CapitalG

FundingIshaan VardhanNov 14, 20266 min read

LangChain, the company behind the popular open-source framework for building AI agents, has raised a $300 million Series C at a $3 billion valuation, led by existing investor CapitalG, CEO Harrison Chase announced on the company blog on Thursday, 13 November 2026 (early Friday, 14 November, in India). For Indian founders and developers who build on LangChain’s tools, the round is a sign that investors now pay a premium for the software that runs, checks and governs AI agents, not just for the models underneath.

The new valuation is 2.4 times the $1.25 billion LangChain was valued at when it raised $125 million about a year ago, according to TechCrunch.

Key takeaways

• LangChain raised $300 million at a $3 billion valuation, led by CapitalG, Alphabet’s growth fund, on 13 November 2026.
• New backers include Singapore’s GIC, DFJ Growth, Salesforce Ventures, Insight Venture Partners, QuantumLight and MongoDB Ventures; IVP, Sapphire Ventures, Sequoia, Amplify and Benchmark also returned.
• The company says more than 7,000 organisations use LangSmith, its paid platform to run, test and govern AI agents.
• The single round is about 12 times what all Indian startups raised together in the week of 9–13 November, by Inc42’s count.

Who invested in LangChain’s Series C

LangChain’s $300 million Series C was led by CapitalG, which had already backed the company, with significant participation from GIC and DFJ Growth as new investors, according to the company’s announcement. Salesforce Ventures, Insight Venture Partners, QuantumLight and MongoDB Ventures are also new to the cap table, while IVP, Sapphire Ventures, Sequoia, Amplify and Benchmark put in more money.

The round caps a fast climb. LangChain raised a $25 million Series A led by Sequoia in February 2024, VentureBeat reported at the time, and a $125 million round at a $1.25 billion valuation led by IVP in October 2025, according to TechCrunch. LangChain has not published revenue figures, and we do not estimate them.

What LangSmith does and why investors care

LangSmith is LangChain’s paid platform for running, improving and governing AI agents, and it is the product behind this valuation. The company splits it into three parts in its announcement: an agent runtime (its open-source frameworks LangChain, LangGraph and Deep Agents, plus hosted agent servers, sandboxes and managed agents), agent improvement (observability, evaluation, fine-tuning and an in-platform agent that finds errors and suggests fixes), and agent governance (gateways that set model budgets, fallbacks, data protection and tool access).

The pitch is neutrality. TechCrunch notes that LangChain sells LangSmith as model-, cloud- and ecosystem-agnostic, unlike the big cloud providers and frontier labs that want agents built on their own stack. For a company that switches between OpenAI, Anthropic, Google and open-weight models to control cost, a neutral layer that logs and tests every agent run is the selling point.

LangChain says LangSmith customers include Harvey, Rippling, Listen Labs, Nvidia, Toyota and Salesforce. It also says Clay monitors hundreds of millions of agent runs a month on the platform, and that Workday cut the time to deploy a new agent from five months to under a day. These are the company’s own claims.

“There’s still so much left to build.” — Harrison Chase, LangChain co-founder and CEO, in the Series C announcement, 13 November 2026

What the round means for Indian AI startups

LangChain’s round is larger than most months of Indian AI funding put together. Indian AI startups raised $438 million across 35 deals in the whole of July–September 2026, Inc42 reported, so one US agent-tooling round equals roughly two-thirds of that quarter’s Indian AI total. All Indian startups together raised $678 million in October 2026, according to Entrackr, and just $25.2 million across nine deals in the week of 9–13 November, according to Inc42.

Three practical points follow for founders here:

• The tooling layer is getting crowded at the top. An Indian startup pitching agent observability or evaluation now competes with a rival that has $300 million in fresh cash. Narrow, India-specific needs (Indian-language evaluation, data stored in India, rupee pricing, compliance with the DPDP Act) are where a local team can still win.
• Building on LangChain stays a safe bet. Indian teams that ship agents on LangGraph or LangChain’s open-source libraries now know the company behind them has fresh money to keep building.
• Agent engineering is a hiring skill. If you want to work on agents, see the latest roles on our AI and ML jobs board. LangChain itself points candidates to its careers page.

Why the timing stands out

LangChain closed its round in the same week that Nvidia chief executive Jensen Huang resigned, which TechCrunch reported on 13 November has left founders and investors worried about less Nvidia money and cloud support for AI startups. A $300 million round for a software layer that is independent of any one model or chip maker shows investors are still writing large cheques for AI infrastructure. LangChain says it will show new LangSmith features at a virtual “Future of Agents” release event on Friday, 20 November.

We track rounds like this on the 100xFounder funding tracker, and our October funding report has the full Indian picture.

FAQ

How much did LangChain raise in its Series C?

LangChain raised $300 million in a Series C at a $3 billion valuation, announced on 13 November 2026. CapitalG, Alphabet’s growth fund and an existing investor, led the round. GIC and DFJ Growth joined as significant new investors, alongside Salesforce Ventures, Insight Venture Partners, QuantumLight and MongoDB Ventures, while IVP, Sapphire Ventures, Sequoia, Amplify and Benchmark invested again.

What is LangSmith used for?

LangSmith is LangChain’s paid platform for building, running, testing and governing AI agents. Teams use it to trace every step an agent takes, evaluate answers before shipping, fine-tune models and set rules such as model budgets and tool access. LangChain says more than 7,000 organisations use it, including Rippling, Nvidia, Toyota and Salesforce.

Is LangChain free to use?

LangChain’s core frameworks, LangChain, LangGraph and Deep Agents, are open source, so developers can use them in their own code without paying LangChain. LangSmith, the hosted platform for observability, evaluation, deployment and governance, is the paid product the company earns money from. Check LangChain’s own pricing page for the current plans before choosing one.

What was LangChain’s valuation before this round?

LangChain was valued at $1.25 billion when it raised $125 million in a round led by IVP in October 2025, according to TechCrunch. Its Series A in February 2024 was $25 million, led by Sequoia. The new $3 billion valuation is 2.4 times the October 2025 figure. LangChain does not publish its revenue.

Does LangChain hire in India?

LangChain’s Series C announcement does not mention India or any Indian office, and it gives no hiring numbers. It directs candidates to its careers page, which is the place to check for remote or India-based roles. For agent-engineering jobs at companies hiring in India, browse the AI and ML listings on our jobs board.

Sources

1. LangChain (Harrison Chase), “LangChain Raises $300M Series C at $3B Valuation”, 13 November 2026. Link
2. TechCrunch, “AI agent startup LangChain hits $3B valuation”, 13 November 2026.
3. TechCrunch, “Open source agentic startup LangChain hits $1.25B valuation”, 21 October 2025.
4. VentureBeat, “LangChain lands $25M round, launches platform to support entire LLM application lifecycle”, February 2024.
5. Inc42, “From Greenjoules To mistEO — Indian Startups Raised Over $25 Mn This Week”, 14 November 2026.
6. Inc42, “Indian AI Startup Funding Surges 265% YoY In Q3, Will Momentum Continue?”, 9 October 2026.
7. Entrackr, “Indian startup funding nosedives 47.5% to $678 Mn in October”, 2 November 2026.
8. TechCrunch, “Jensen Huang’s departure blasts big hole in AI startup funding, VCs and founders say”, 13 November 2026.

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