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Anyscale vs Modal

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

Comparison updated: April 2026

Neck and neck — Anyscale ($1B) and Modal ($1.1B) are valued within 20% of each other.

Head-to-Head Verdict

Anyscale leads on 4 of 5 metrics

Anyscale

4 wins

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

Modal

1 win

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

Key Numbers

Valuation
$1B
$1.1B
Total Funding
$281M
$111M
Awaira Score
72/100
71/100
Employees
250
30
Founded
2019
2021
Stage
Series C
Series B
AnyscaleModal
Winner
Anyscale logo
Anyscale

🇺🇸 United States · Robert Nishihara

Series CAI InfrastructureEst. 2019

Valuation

$1B

Total Funding

$281M

Awaira Score72/100

250 employees

Full Anyscale Profile →
Modal logo
Modal

🇺🇸 United States · Erik Bernhardsson

Series BAI InfrastructureEst. 2021

Valuation

$1.1B

Total Funding

$111M

Awaira Score71/100

30 employees

Full Modal 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 Series B) mean these companies face fundamentally different operational priorities.

🔬

Analyst Summary

Built from real data · Updated April 2026

Companies

Anyscale and Modal are direct competitors in AI Infrastructure. Anyscale is an AI infrastructure company founded in 2019 that develops and commercializes Ray, an open-source distributed computing framework. Modal is an AI infrastructure company founded in 2021 that provides cloud computing tools for machine learning and artificial intelligence applications.

Funding & Valuation

The two trade at comparable valuations — Modal at $1.1B versus Anyscale at $1B. Both have attracted significant capital — Anyscale with $281M and Modal with $111M.

Growth Stage

Anyscale was founded in 2019, 2 years before Modal arrived in 2021. Stage-wise, Anyscale is classified as Series C and Modal as Series B, reflecting divergent fundraising histories. Team sizes also differ: Anyscale employs 250 people versus Modal's 30.

Geography & Outlook

Anyscale and Modal share a home market in 🇺🇸 United States, intensifying their competitive overlap. Awaira's composite score rates them neck-and-neck: Anyscale at 72 and Modal at 71 out of 100. Under Robert Nishihara and Erik Bernhardsson respectively, both companies continue to chart aggressive growth paths.

Funding Velocity

Anyscale

Total Rounds3
Avg. Round Size$53.3M
Funding Span0.5 yrs

Modal

Total Rounds1
Avg. Round Size$7M

Funding History

Anyscale has completed 3 funding rounds, while Modal has gone through 1. Anyscale's most recent round was a Series C of $100M, compared to Modal's Seed ($7M). Anyscale is at Series C while Modal is at Series B — different points in their growth trajectory.

Team & Scale

Anyscale is significantly larger with about 250 employees, compared to Modal's 30. That's a 8x difference in headcount. They're close in age — Anyscale started in 2019 and Modal in 2021. Both are based in United States.

Metrics Comparison

MetricAnyscaleModal
💰Valuation
$1B
$1.1BWINS
📈Total Funding
$281MWINS
$111M
📅Founded
2019
2021WINS
🚀Stage
Series C
Series B
👥Employees
250
30
🌍Country
United States
United States
🏷️Category
AI Infrastructure
AI Infrastructure
Awaira Score
72WINS
71

Key Differences

💰

Valuation gap: Modal is valued 1.1x higher ($1.1B vs $1B)

📈

Funding gap: Anyscale has raised $170M more ($281M vs $111M)

📅

Market experience: Anyscale has 2 years more (founded 2019 vs 2021)

🚀

Growth stage: Anyscale is at Series C vs Modal at Series B

👥

Team size: Anyscale has 250 employees vs Modal's 30

⚔️

Direct competitors: Both operate in the AI Infrastructure market segment

Awaira Score: Anyscale scores 72/100 vs Modal's 71/100

Which Should You Choose?

Use these signals to make the right call

Anyscale logo

Choose Anyscale if…

Top Pick
  • Higher Awaira Score — 72/100 vs 71/100
  • Stronger investor backing — raised $281M
  • More market experience — founded in 2019
  • Anyscale is an AI infrastructure company founded in 2019 that develops and commercializes Ray, an open-source distributed computing framework
Modal logo

Choose Modal if…

  • More established by valuation ($1.1B)
  • Modal is an AI infrastructure company founded in 2021 that provides cloud computing tools for machine learning and artificial intelligence applications

Funding History

Anyscale raised $281M across 3 rounds. Modal raised $111M across 1 round.

Anyscale

Series C

Dec 2021

Lead: Andreessen Horowitz

$100M

Series B

Oct 2021

Lead: Sequoia Capital

$40M

Series A

Jun 2021

Lead: Sequoia Capital

$20M

Modal

Seed

Jan 2022

$7M

Investor Comparison

No shared investors detected between these two companies.

Unique to Anyscale

Sequoia CapitalAndreessen HorowitzSpark CapitalDatabricksAccelNEA

Users Also Compare

FAQ — Anyscale vs Modal

Is Anyscale bigger than Modal?
By valuation, Modal is the larger company at $1.1B versus $1B — a 1.1x difference. Size can also be measured by team: Anyscale employs 250 people while Modal has 30 employees.
Which company raised more funding — Anyscale or Modal?
Anyscale has raised more in total funding at $281M, compared to Modal's $111M — a gap of $170M. Combined, the two companies have completed 4 known funding rounds.
Which company has a higher Awaira Score?
Anyscale leads with an Awaira Score of 72/100, while Modal sits at 71/100. That 1-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.
Who founded Anyscale vs Modal?
Anyscale was founded by Robert Nishihara in 2019. Modal was founded by Erik Bernhardsson in 2021. Visit each company's profile on Awaira for a full founder biography.
What does Anyscale do vs Modal?
Anyscale: Anyscale is an AI infrastructure company founded in 2019 that develops and commercializes Ray, an open-source distributed computing framework. Ray enables developers to scale Python applications from laptops to clusters, addressing the computational demands of machine learning workloads. The company provides both open-source Ray and commercial offerings, including Ray Cloud, a managed platform for running distributed AI applications. Anyscale's technology stack focuses on simplifying distributed computing for data scientists and ML engineers who lack distributed systems expertise. Ray supports tasks like hyperparameter tuning, reinforcement learning, and large-scale model training. The framework has gained adoption across organizations building production AI systems. The company has raised $281 million across multiple funding rounds, achieving a $1.0 billion valuation as of its Series C stage. This positions Anyscale within the competitive AI infrastructure market alongside companies addressing similar distributed computing challenges. Anyscale's competitive positioning centers on Ray's ease of use compared to traditional distributed computing frameworks. The open-source community contribution has driven adoption, while the commercial platform generates recurring revenue. The company operates in a growing sector as organizations increasingly require scalable infrastructure for large language models and complex AI workloads. Anyscale monetizes an influential open-source framework by offering managed services and enterprise support to organizations scaling AI applications. Modal: Modal is an AI infrastructure company founded in 2021 that provides cloud computing tools for machine learning and artificial intelligence applications. The platform enables developers to build, deploy, and scale AI models with reduced infrastructure complexity. Modal's core offering centers on serverless computing infrastructure specifically optimized for AI workloads, allowing users to run GPU-intensive tasks without managing underlying hardware directly. The company positions itself within the broader AI infrastructure category, competing alongside platforms like Replicate, Lambda Labs, and cloud providers' AI services. Modal's approach focuses on simplifying the deployment pipeline for machine learning models, enabling developers to move from development to production environments more efficiently. The platform supports various frameworks and use cases including LLM inference, image generation, and general machine learning tasks. Founded in 2021, Modal operates at the Seed stage with total funding of $20 million and a valuation of $0.1 billion. The company benefits from growing demand for accessible AI infrastructure as organizations scale machine learning workloads. Modal's customer base includes AI developers and teams building applications that require computational resources beyond typical cloud offerings. The competitive landscape remains fragmented, with multiple players addressing different aspects of AI infrastructure. Modal's growth trajectory reflects broader market expansion in AI tooling and infrastructure services. Modal addresses the infrastructure gap between AI research and production deployment by offering serverless computing optimized specifically for GPU-intensive machine learning workloads.
Which company was founded first?
Anyscale got there first, launching in 2019 — that's 2 years of extra runway. Modal didn't arrive until 2021. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.
Which company has more employees?
Anyscale has about 250 employees; Modal has about 30. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.
Are Anyscale and Modal competitors?
Yes — they're direct rivals. Both Anyscale and Modal 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 Anyscale and Modal 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