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Modular AI vs Replicate

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

Comparison updated: April 2026

Modular AI is valued at $1.6B — more than 3x Replicate's $350M.

Head-to-Head Verdict

Modular AI leads on 4 of 5 metrics

Modular AI

4 wins

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

Replicate

1 win

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

Key Numbers

Valuation
$1.6B
$350M
Total Funding
$380M
$57.8M
Awaira Score
76/100
74/100
Employees
150
50
Founded
2022
2019
Stage
Series C
Acquired
Modular AIReplicate
Winner
Modular AI logo
Modular AI

🇺🇸 United States · Chris Lattner

Series CAI InfrastructureEst. 2022

Valuation

$1.6B

Total Funding

$380M

Awaira Score76/100

150 employees

Full Modular AI Profile →
Replicate logo
Replicate

🇺🇸 United States · Ben Firshman

AcquiredAI InfrastructureEst. 2019

Valuation

$350M

Total Funding

$57.8M

Awaira Score74/100

50 employees

Full Replicate Profile →
Market Context

This is a head-to-head contest: both operate in AI Infrastructure and share a home market in United States. Different stages (Series C vs Acquired) mean these companies face fundamentally different operational priorities.

🔬

Analyst Summary

Built from real data · Updated April 2026

Companies

Within AI Infrastructure, Modular AI and Replicate rank among the most closely watched rivals. Modular AI, founded in 2022 and valued at $1. Replicate is an AI infrastructure company founded in 2019 that provides a platform for deploying and running machine learning models at scale.

Funding & Valuation

Valuation-wise, Modular AI holds the advantage at $1.6B, roughly 4.6 times Replicate's $350M. Modular AI has amassed $380M in total funding, far exceeding Replicate's $57.8M.

Growth Stage

Replicate was founded in 2019, 3 years before Modular AI arrived in 2022. Growth stages differ: Modular AI (Series C) versus Replicate (Acquired), a distinction that matters for both deal structure and competitive positioning. Team sizes also differ: Modular AI employs 150 people versus Replicate's 50.

Geography & Outlook

Modular AI and Replicate share a home market in 🇺🇸 United States, intensifying their competitive overlap. Awaira's composite score rates them neck-and-neck: Modular AI at 76 and Replicate at 74 out of 100. Under Chris Lattner and Ben Firshman respectively, both companies continue to chart aggressive growth paths.

Funding Velocity

Modular AI

Total Rounds4
Avg. Round Size$95M
Funding Span2 yrs

Replicate

Total Rounds3
Avg. Round SizeN/A
Funding Span3 yrs

Funding History

Modular AI has completed 4 funding rounds, while Replicate has gone through 3. Modular AI's most recent round was a Series C of $150M, compared to Replicate's Series B. Modular AI is at Series C while Replicate is at Acquired — different points in their growth trajectory.

Team & Scale

Modular AI is significantly larger with about 150 employees, compared to Replicate's 50. That's a 3x difference in headcount. Replicate has a 3-year head start, founded in 2019 vs Modular AI's 2022. Both are based in United States.

Metrics Comparison

MetricModular AIReplicate
💰Valuation
$1.6BWINS
$350M
📈Total Funding
$380MWINS
$57.8M
📅Founded
2022WINS
2019
🚀Stage
Series C
Acquired
👥Employees
150
50
🌍Country
United States
United States
🏷️Category
AI Infrastructure
AI Infrastructure
Awaira Score
76WINS
74

Key Differences

💰

Valuation gap: Modular AI is valued 4.6x higher ($1.6B vs $350M)

📈

Funding gap: Modular AI has raised $322.2M more ($380M vs $57.8M)

📅

Market experience: Replicate has 3 years more (founded 2019 vs 2022)

🚀

Growth stage: Modular AI is at Series C vs Replicate at Acquired

👥

Team size: Modular AI has 150 employees vs Replicate's 50

⚔️

Direct competitors: Both operate in the AI Infrastructure market segment

Awaira Score: Modular AI scores 76/100 vs Replicate's 74/100

Which Should You Choose?

Use these signals to make the right call

Modular AI logo

Choose Modular AI if…

Top Pick
  • Higher Awaira Score — 76/100 vs 74/100
  • More established by valuation ($1.6B)
  • Stronger investor backing — raised $380M
  • Modular AI, founded in 2022 and valued at $1
Replicate logo

Choose Replicate if…

  • More market experience — founded in 2019
  • Replicate is an AI infrastructure company founded in 2019 that provides a platform for deploying and running machine learning models at scale

Funding History

Modular AI raised $380M across 4 rounds. Replicate raised $57.8M across 3 rounds.

Modular AI

Series C

Jan 2024

$150M

Series B

Sep 2023

Lead: Andreessen Horowitz

$100M

Series A

Jan 2023

Lead: Sequoia Capital

$100M

Seed

Jan 2022

Lead: Sequoia Capital

$30M

Replicate

Series B

Jan 2023

Series A

Jan 2021

Lead: Andreessen Horowitz

Seed

Jan 2020

Investor Comparison

Shared Investors1
Andreessen Horowitz

Unique to Modular AI

Sequoia CapitalSandboxAQ

Users Also Compare

FAQ — Modular AI vs Replicate

Is Modular AI bigger than Replicate?
By valuation, Modular AI is the larger company at $1.6B versus $350M — a 4.6x difference. Size can also be measured by team: Modular AI employs 150 people while Replicate has 50 employees.
Which company raised more funding — Modular AI or Replicate?
Modular AI has raised more in total funding at $380M, compared to Replicate's $57.8M — a gap of $322.2M. Combined, the two companies have completed 7 known funding rounds.
Which company has a higher Awaira Score?
Modular AI leads with an Awaira Score of 76/100, while Replicate sits at 74/100. That 2-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.
Who founded Modular AI vs Replicate?
Modular AI was founded by Chris Lattner in 2022. Replicate was founded by Ben Firshman in 2019. Visit each company's profile on Awaira for a full founder biography.
What does Modular AI do vs Replicate?
Modular AI: Modular AI, founded in 2022 and valued at $1.6 billion, develops infrastructure software for AI systems. The company has raised $380 million in Series C funding. Modular AI's core focus is building compiler and runtime technologies that optimize AI model execution across diverse hardware platforms. The company's primary product is Mojo, a programming language designed to bridge the gap between research and production AI systems, enabling developers to write performant code without switching between multiple languages. Mojo combines Python's accessibility with systems programming capabilities, targeting the inefficiencies in traditional AI development workflows. The platform addresses a critical pain point in AI infrastructure: the fragmentation between high-level ML frameworks and low-level optimization requirements. Modular AI positions itself within the growing AI infrastructure layer, competing alongside companies focused on model optimization, deployment, and hardware abstraction. The company operates in a competitive landscape that includes established players in compiler technology and emerging AI infrastructure vendors. Modular AI's approach emphasizes developer productivity and hardware portability, allowing AI engineers to optimize code for various accelerators and processors. The company's growth trajectory reflects broader demand for specialized infrastructure solutions as enterprise AI adoption accelerates. Specific customer deployments are not widely disclosed, though the company targets enterprises seeking deployment flexibility and performance optimization. Modular AI develops Mojo, a systems programming language designed to unify AI research and production workflows by eliminating language switching friction. Replicate: Replicate is an AI infrastructure company founded in 2019 that provides a platform for deploying and running machine learning models at scale. The company operates a marketplace where developers can discover, deploy, and integrate open-source and custom AI models through a simple API interface. Replicate's core offering enables users to run computationally intensive models without managing underlying infrastructure, abstracting away GPU provisioning and scaling complexities. The platform supports a wide range of model types, including image generation, text processing, audio, and video models. Notable models hosted on Replicate include Stable Diffusion and other generative AI tools. The company targets developers, researchers, and companies building AI applications who need reliable model serving without infrastructure overhead. Replicate has raised $63 million in total funding and carries a valuation of $300 million, indicating Series B stage maturity. The company operates in the competitive AI infrastructure space alongside platforms like Hugging Face, Modal, and Together AI. Its positioning focuses on accessibility and ease of use for model deployment rather than custom model development. The company's growth trajectory reflects increasing demand for AI model serving solutions as generative AI adoption accelerates across industries. Replicate serves as an intermediary layer between model creators and application developers. Replicate democratizes access to pre-trained AI models through a consumption-based API platform, eliminating infrastructure barriers for developers.
Which company was founded first?
Replicate got there first, launching in 2019 — that's 3 years of extra runway. Modular AI 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?
Modular AI has about 150 employees; Replicate has about 50. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.
Are Modular AI and Replicate competitors?
Yes — they're direct rivals. Both Modular AI and Replicate compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.

Bottom Line

It's close. Both Modular AI and Replicate 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