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Lightning AI vs Modal

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

Comparison updated: April 2026

Two AI Infrastructure companies going head to head.

Head-to-Head Verdict

Lightning AI leads on 5 of 5 metrics

Lightning AI

5 wins

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

Modal

0 wins

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

Key Numbers

Valuation
$2.5B
$1.1B
Total Funding
$112M
$111M
Awaira Score
74/100
71/100
Employees
150
30
Founded
2019
2021
Stage
Private
Series B
Lightning AIModal
Winner
Lightning AI logo
Lightning AI

🇺🇸 United States · William Falcon

PrivateAI InfrastructureEst. 2019

Valuation

$2.5B

Total Funding

$112M

Awaira Score74/100

150 employees

Full Lightning AI 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 (Private vs Series B) mean these companies face fundamentally different operational priorities.

🔬

Analyst Summary

Built from real data · Updated April 2026

Companies

Within AI Infrastructure, Lightning AI and Modal rank among the most closely watched rivals. Lightning AI is an AI infrastructure company founded in 2019 that provides tools and frameworks for building, training, and deploying machine learning models at scale. Modal is an AI infrastructure company founded in 2021 that provides cloud computing tools for machine learning and artificial intelligence applications.

Funding & Valuation

Market pricing favors Lightning AI at $2.5B, a 2.3x premium over Modal's $1.1B mark. Both have attracted significant capital — Lightning AI with $112M and Modal with $111M.

Growth Stage

Lightning AI was founded in 2019, 2 years before Modal arrived in 2021. Growth stages differ: Lightning AI (Private) versus Modal (Series B), a distinction that matters for both deal structure and competitive positioning. On headcount, Lightning AI reports 150 employees and Modal reports 30.

Geography & Outlook

Lightning AI and Modal share a home market in 🇺🇸 United States, intensifying their competitive overlap. The Awaira Score reflects a tight race: 74 for Lightning AI versus 71 for Modal. Under William Falcon and Erik Bernhardsson respectively, both companies continue to chart aggressive growth paths.

Funding Velocity

Lightning AI

Total Rounds3
Avg. Round Size$38.3M
Funding Span3.9 yrs

Modal

Total Rounds1
Avg. Round Size$7M

Funding History

Lightning AI has completed 3 funding rounds, while Modal has gone through 1. Lightning AI's most recent round was a Series C of $50M, compared to Modal's Seed ($7M). Lightning AI is at Private while Modal is at Series B — different points in their growth trajectory.

Team & Scale

Lightning AI is significantly larger with about 150 employees, compared to Modal's 30. That's a 5x difference in headcount. They're close in age — Lightning AI started in 2019 and Modal in 2021. Both are based in United States.

Metrics Comparison

MetricLightning AIModal
💰Valuation
$2.5BWINS
$1.1B
📈Total Funding
$112MWINS
$111M
📅Founded
2019
2021WINS
🚀Stage
Private
Series B
👥Employees
150
30
🌍Country
United States
United States
🏷️Category
AI Infrastructure
AI Infrastructure
Awaira Score
74WINS
71

Key Differences

💰

Valuation gap: Lightning AI is valued 2.3x higher ($2.5B vs $1.1B)

📈

Funding gap: Lightning AI has raised $1M more ($112M vs $111M)

📅

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

🚀

Growth stage: Lightning AI is at Private vs Modal at Series B

👥

Team size: Lightning AI has 150 employees vs Modal's 30

⚔️

Direct competitors: Both operate in the AI Infrastructure market segment

Awaira Score: Lightning AI scores 74/100 vs Modal's 71/100

Which Should You Choose?

Use these signals to make the right call

Lightning AI logo

Choose Lightning AI if…

Top Pick
  • Higher Awaira Score — 74/100 vs 71/100
  • More established by valuation ($2.5B)
  • Stronger investor backing — raised $112M
  • More market experience — founded in 2019
  • Lightning AI is an AI infrastructure company founded in 2019 that provides tools and frameworks for building, training, and deploying machine learning models at scale
Modal logo

Choose Modal if…

  • Modal is an AI infrastructure company founded in 2021 that provides cloud computing tools for machine learning and artificial intelligence applications

Funding History

Lightning AI raised $112M across 3 rounds. Modal raised $111M across 1 round.

Lightning AI

Series C

Nov 2024

Lead: Coatue Management

$50M

Series B

Jan 2022

Lead: a16z

$45M

Series A

Jan 2021

Lead: Bessemer Venture Partners

$20M

Modal

Seed

Jan 2022

$7M

Investor Comparison

No shared investors detected between these two companies.

Unique to Lightning AI

Coatue ManagementGradient Venturesa16zFounders FundBessemer Venture PartnersGoogle Ventures

Users Also Compare

FAQ — Lightning AI vs Modal

Is Lightning AI bigger than Modal?
By valuation, Lightning AI is the larger company at $2.5B versus $1.1B — a 2.3x difference. Size can also be measured by team: Lightning AI employs 150 people while Modal has 30 employees.
Which company raised more funding — Lightning AI or Modal?
Lightning AI has raised more in total funding at $112M, compared to Modal's $111M — a gap of $1M. Combined, the two companies have completed 4 known funding rounds.
Which company has a higher Awaira Score?
Lightning AI leads with an Awaira Score of 74/100, while Modal sits at 71/100. That 3-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.
Who founded Lightning AI vs Modal?
Lightning AI was founded by William Falcon in 2019. Modal was founded by Erik Bernhardsson in 2021. Visit each company's profile on Awaira for a full founder biography.
What does Lightning AI do vs Modal?
Lightning AI: Lightning AI is an AI infrastructure company founded in 2019 that provides tools and frameworks for building, training, and deploying machine learning models at scale. The company develops PyTorch Lightning, an open-source deep learning framework that abstracts away engineering complexity while maintaining flexibility for researchers and practitioners. Lightning AI's platform simplifies the process of converting research code into production-ready systems, addressing a key pain point in the machine learning development lifecycle. The company operates in the competitive AI infrastructure space alongside platforms like Hugging Face, Weights & Biases, and various cloud providers' ML services. Lightning AI's approach focuses on reducing boilerplate code and accelerating experimentation cycles, enabling data scientists to focus on model architecture rather than infrastructure details. The platform supports distributed training across multiple GPUs and TPUs, making it relevant for organizations training large language models and other computationally intensive AI systems. Founded with $112 million in total funding, Lightning AI reached a $2.5 billion valuation as a private company. The framework has gained adoption among researchers and organizations building production ML systems. The company's growth trajectory reflects increasing enterprise demand for tools that bridge the gap between experimental machine learning and operational deployment. Lightning AI democratizes enterprise-scale ML infrastructure through an accessible open-source framework that has become integral to the modern deep learning development workflow. 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?
Lightning AI 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?
Lightning AI has about 150 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 Lightning AI and Modal competitors?
Yes — they're direct rivals. Both Lightning AI 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 Lightning AI 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