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Overall Winner: LangChain·78/ 100

LangChain vs Framer

Side-by-side on valuation, funding, investors, founders & more

Comparison updated: April 2026

Two AI Dev Tools companies going head to head.

Head-to-Head Verdict

Framer leads on 4 of 5 metrics

LangChain

1 win

-Valuation
-Funding
+Awaira Score
-Team Size
-Experience

Framer

4 wins

+Valuation
+Funding
-Awaira Score
+Team Size
+Experience
Winner
LangChain logo
LangChain

🇺🇸 United States · Harrison Chase

Series BAI Dev ToolsEst. 2022

Valuation

$1.3B

Total Funding

$260M

Awaira Score78/100

60 employees

Full LangChain Profile →
Framer logo
Framer

🇳🇱 Netherlands · Koen Bok

Series DAI Dev ToolsEst. 2014

Valuation

$2B

Total Funding

$313M

Awaira Score76/100

150 employees

Full Framer Profile →
Market Context

As AI Dev Tools players, LangChain and Framer target overlapping customers despite operating from different countries. The stage gap — LangChain at Series B vs Framer at Series D — shapes how each company allocates capital and talent.

🔬

Analyst Summary

Built from real data · Updated April 2026

LangChain and Framer both operate in AI Dev Tools, though their strategies diverge significantly. LangChain is an open-source framework for developing applications powered by large language models (LLMs). Framer is a Netherlands-based design and development platform founded in 2014 that has evolved into a comprehensive tool for creating interactive web experiences.

Neither company has a decisive valuation edge: LangChain at $1.3B and Framer at $2B. Funding totals are closer: Framer at $313M compared to LangChain's $260M.

LangChain is the younger company by 8 years, having launched in 2022 compared to Framer's 2014 founding. Stage-wise, LangChain is classified as Series B and Framer as Series D, reflecting divergent fundraising histories. Headcount tells a story too: LangChain has 60 employees and Framer has 150.

Based in 🇺🇸 United States and 🇳🇱 Netherlands respectively, LangChain and Framer tap into different talent markets and regulatory environments. The Awaira Score reflects a tight race: 78 for LangChain versus 76 for Framer. LangChain, led by Harrison Chase, and Framer, led by Koen Bok, each bring distinct leadership visions to the AI sector.

Key Numbers

Valuation
$1.3B
$2B
Total Funding
$260M
$313M
Awaira Score
78/100
76/100
Employees
60
150
Founded
2022
2014
Stage
Series B
Series D
LangChainFramer

Funding Velocity

LangChain

Total Rounds2
Avg. Round Size$10M
Funding Span1.2 yrs

Framer

Total Rounds4
Avg. Round Size$39.7M
Funding Span8.7 yrs

Funding History

LangChain has completed 2 funding rounds, while Framer has gone through 4. LangChain's most recent round was a Seed of $10M, compared to Framer's Series D ($100M). LangChain is at Series B while Framer is at Series D — different points in their growth trajectory.

Team & Scale

Framer has the bigger team at roughly 150 people — 3x the size of LangChain's 60. Framer has a 8-year head start, founded in 2014 vs LangChain's 2022. Geographically, they're in different markets — LangChain operates out of United States and Framer from Netherlands.

Metrics Comparison

MetricLangChainFramer
💰Valuation
$1.3B
$2BWINS
📈Total Funding
$260M
$313MWINS
📅Founded
2022WINS
2014
🚀Stage
Series B
Series D
👥Employees
60
150
🌍Country
United States
Netherlands
🏷️Category
AI Dev Tools
AI Dev Tools
Awaira Score
78WINS
76

Key Differences

💰

Valuation gap: Framer is valued 1.6x higher ($2B vs $1.3B)

📈

Funding gap: Framer has raised $53M more ($313M vs $260M)

📅

Market experience: Framer has 8 years more (founded 2014 vs 2022)

🚀

Growth stage: LangChain is at Series B vs Framer at Series D

👥

Team size: LangChain has 60 employees vs Framer's 150

🌍

Market base: 🇺🇸 LangChain (United States) vs 🇳🇱 Framer (Netherlands)

⚔️

Direct competitors: Both operate in the AI Dev Tools market segment

Awaira Score: LangChain scores 78/100 vs Framer's 76/100

Which Should You Choose?

Use these signals to make the right call

LangChain logo

Choose LangChain if…

Top Pick
  • Higher Awaira Score — 78/100 vs 76/100
  • United States-based for regional compliance or proximity
  • LangChain is an open-source framework for developing applications powered by large language models (LLMs)
Framer logo

Choose Framer if…

  • More established by valuation ($2B)
  • Stronger investor backing — raised $313M
  • More market experience — founded in 2014
  • Netherlands-based for regional compliance or proximity
  • Framer is a Netherlands-based design and development platform founded in 2014 that has evolved into a comprehensive tool for creating interactive web experiences

Funding History

LangChain raised $260M across 2 rounds. Framer raised $313M across 4 rounds.

LangChain

Seed

Mar 2023

Lead: Benchmark

$10M

Seed

Jan 2022

Framer

Series D

Aug 2025

$100M

Series C

Oct 2023

Lead: Google Ventures

$27M

Series B

Nov 2018

Lead: Sequoia Capital

$24M

Series A

Jan 2017

Lead: Accel

$7.7M

Investor Comparison

No shared investors detected between these two companies.

Unique to LangChain

Benchmark

Unique to Framer

Google VenturesAccelSequoia Capital

Users Also Compare

FAQ — LangChain vs Framer

Is LangChain bigger than Framer?
By valuation, Framer is the larger company at $2B versus $1.3B — a 1.6x difference. Size can also be measured by team: LangChain employs 60 people while Framer has 150 employees.
Which company raised more funding — LangChain or Framer?
Framer has raised more in total funding at $313M, compared to LangChain's $260M — a gap of $53M. Combined, the two companies have completed 6 known funding rounds.
Which company has a higher Awaira Score?
LangChain leads with an Awaira Score of 78/100, while Framer sits at 76/100. That 2-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.
Who founded LangChain vs Framer?
LangChain was founded by Harrison Chase in 2022. Framer was founded by Koen Bok in 2014. Visit each company's profile on Awaira for a full founder biography.
What does LangChain do vs Framer?
LangChain: LangChain is an open-source framework for developing applications powered by large language models (LLMs). Founded in 2022, the company provides a software library that abstracts away the complexity of integrating LLMs into production applications. The core product enables developers to chain together multiple LLM calls and external data sources, reducing engineering overhead for tasks like document analysis, question-answering systems, and autonomous agents. LangChain's approach centers on modularity and composability, allowing developers to build custom workflows without managing low-level API interactions. The framework supports multiple LLM providers including OpenAI, Anthropic, and open-source models, making it vendor-agnostic. The platform has gained significant adoption within enterprise development teams and startups building AI-powered features. LangChain went through a Series A funding round, reaching a valuation of $200 million with total funding of $35 million. The company competes in the rapidly growing AI infrastructure space alongside similar orchestration tools and LLM application frameworks. Notable use cases span document retrieval systems, chatbot development, and data analysis applications. The company's growth trajectory reflects strong developer adoption and increasing enterprise demand for LLM application development tools. LangChain operates in the AI developer tools category, which remains highly competitive yet nascent. LangChain's open-source-first strategy combined with enterprise-grade tooling positions it as a foundational infrastructure layer for LLM application development. Framer: Framer is a Netherlands-based design and development platform founded in 2014 that has evolved into a comprehensive tool for creating interactive web experiences. The platform enables designers and developers to build responsive websites, prototypes, and applications through a visual interface combined with code capabilities. Framer's core offering includes design-to-code functionality, allowing users to design in a visual environment while generating production-ready code automatically. The platform integrates AI capabilities to assist with design generation, code optimization, and workflow automation. Framer positions itself at the intersection of design tools and development frameworks, competing with platforms like Webflow, Figma, and traditional development environments. Its approach emphasizes reducing friction between design and engineering teams by providing collaborative features and seamless handoff mechanisms. Framer has achieved significant market validation, reaching a $2.0 billion valuation with $313 million in total funding across multiple rounds, currently at Series D stage. The company serves design teams, agencies, and enterprises requiring rapid prototyping and web development capabilities. Its user base spans companies across technology, creative services, and enterprise sectors. The platform's growth trajectory reflects increasing demand for tools that democratize web development and accelerate design-to-production cycles while maintaining code quality and customization flexibility. Framer bridges the traditional gap between design and code by providing AI-assisted automation that converts visual designs into functional web applications without sacrificing developer control.
Which company was founded first?
Framer got there first, launching in 2014 — that's 8 years of extra runway. LangChain didn't arrive until 2022. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.
Which company has more employees?
LangChain has about 60 employees; Framer has about 150. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.
Are LangChain and Framer competitors?
Yes — they're direct rivals. Both LangChain and Framer compete in AI Dev Tools, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.

Bottom Line

It's close. Both LangChain and Framer are strong players, and picking a winner depends on what you're looking for. Check each profile for the full picture.

Who Should You Watch?

This one's genuinely too close to call. Both companies are competitive, and the winner will likely come down to execution over the next 12-18 months. Follow both profiles on Awaira to track funding rounds, team changes, and score updates.

Deep Dive