AI infrastructure

What is Modal Labs?

Serverless cloud compute for AI teams running GPUs, sandboxes and batch workloads.

Category
AI infrastructure
Headquarters
New York, NY
Founded
2021
Employees
~100+
Total funding
About $80M+ disclosed in 2025 round; earlier funding not fully disclosed publicly
Valuation or Status
~SEK 10.5B / about $1B private valuation reported in 2025

What is Modal Labs?

Modal Labs is a ai infrastructure company. Serverless cloud compute for AI teams running GPUs, sandboxes and batch workloads.

Modal Labs sells into teams that need serverless gpu tasks, inference endpoints, batch jobs and related workflows. Revenue not publicly disclosed; demand is driven by AI teams using serverless GPUs, batch jobs, sandboxes and notebooks. Modal publishes customer stories and developer adoption across AI startups, research groups and ML engineering teams.

The company is positioned around a focused operating wedge rather than a generic software suite: Serverless GPU tasks, Inference endpoints, Batch jobs, Sandboxes, Notebooks, Volumes and queues. That makes the buying center relatively clear for sellers, because product, engineering, finance, data, HR or payments leaders usually evaluate the platform based on measurable workflow impact, security and integration depth.

As of June 2026, the most durable facts are its 2021 founding date, New York, NY headquarters/operating hub, ~100+ employee scale and ~SEK 10.5B / about $1B private valuation reported in 2025. Where the company does not disclose revenue or profitability, this profile states that explicitly instead of substituting private estimates.

What does Modal Labs offer?

Modal Labs offers Serverless GPU tasks, Inference endpoints, Batch jobs, Sandboxes and adjacent platform capabilities.

  • Serverless GPU tasks· Product
  • Inference endpoints· Product
  • Batch jobs· Product
  • Sandboxes· Product
  • Notebooks· Product
  • Volumes and queues· Product

How does Modal Labs make money?

Modal Labs makes money through starter is $0 plus compute with $30/month free credits and 10 gpu concurrency; team is $250/month plus compute with $100/month credits and 50 gpu concurrency; enterprise is custom.

Starter is $0 plus compute with $30/month free credits and 10 GPU concurrency; Team is $250/month plus compute with $100/month credits and 50 GPU concurrency; Enterprise is custom. Compute is metered per second across Nvidia B200, H200, H100, A100, L40S, A10, L4 and T4 GPUs, CPU cores, memory and volumes.

The commercial motion is usage- and expansion-driven: teams usually start with a concrete workflow, then add seats, modules, credits, compute, payment volume, data access, compliance controls or enterprise support as adoption spreads. That means growth depends on product-led entry for smaller teams and negotiated enterprise contracts where security, procurement and integrations matter.

For sellers, the budget owner is the function that experiences the workflow pain first. A vendor replacing manual work, improving risk controls or integrating with the named systems in the tech-stack facet has a stronger pitch than a generic productivity message.

Who leads Modal Labs?

Modal Labs is led by Erik Bernhardsson (Founder and CEO) and Akshat Bubna (Co-founder and CTO).

  • Erik BernhardssonFounder and CEOFounder - since 2021Former Spotify engineering leader and Better.com CTO, known for ML infrastructure writing.
  • Akshat BubnaCo-founder and CTOCo-founder - since 2021Former IOI gold medalist and infrastructure builder.
  • Modal engineering leadershipEngineering leadershipCurrentRuns the platform, GPU infrastructure and developer experience orgs.

How do you contact Modal Labs's leadership?

Use published company channels first; the personal addresses below are clearly marked as format-following rather than verified inboxes. The observed/presumed pattern for this profile is format-following, not verified: first@modal.com.

Email formatformat-following, not verified: first@modal.com

How much funding has Modal Labs raised?

Modal Labs has About $80M+ disclosed in 2025 round; earlier funding not fully disclosed publicly, with status: ~SEK 10.5B / about $1B private valuation reported in 2025.

Major disclosed financing events: 2021-2024: Early financing - amount not fully disclosed - Modal was backed by early investors including Creandum according to later reporting; detailed seed/A-series terms are not fully public. Sep 2025: Growth round - about SEK 830M - Aftonbladet reported Modal raised roughly SEK 830M and was valued at about SEK 10.5B, around unicorn scale, with Creandum among early investors.

The funding history shows how investors underwrote the company's market. Earlier rounds financed the initial wedge; later rounds funded enterprise expansion, infrastructure, regulatory coverage, geographic growth or broader platform scope.

If a round, valuation or revenue number is not public, this profile treats it as undisclosed. That matters for sales planning because private companies often have large budgets without publishing the exact revenue base, while acquired or IPO-track companies usually add more formal procurement and risk review.

How did Modal Labs get here?

Modal Labs's path runs from founding through product expansion, major financing and its current June 2026 status.

  1. 2021Company foundedErik Bernhardsson and Akshat Bubna started Modal to simplify cloud compute for ML and data teams.
  2. 2022Developer platform expandsModal focused on Python-first serverless execution and containerized workloads.
  3. 2023GPU and inference adoptionAI infrastructure demand pulled Modal deeper into GPU workloads and model serving.
  4. 2024Sandboxes and notebooks matureModal added more primitives for code execution, notebooks and developer workflows.
  5. 2025Unicorn-scale financing reportedSwedish press reported a large growth round and a roughly SEK 10.5B valuation.
  6. 2026B200/H200 pricing visibleModal pricing listed current high-end Nvidia GPU options and enterprise controls.

Who are Modal Labs's competitors?

Modal Labs competes with Runpod, CoreWeave, Lambda, Together AI and adjacent platform vendors.

  • RunpodGPU cloud focused on pods, serverless inference and low-level compute controls.
  • CoreWeaveLarge GPU cloud provider serving enterprise AI training and inference.
  • LambdaGPU cloud and AI infrastructure provider with cloud and hardware offerings.
  • Together AIModel inference, fine-tuning and GPU-backed AI cloud platform.
  • ReplicateModel hosting and API platform oriented around easy model deployment.

Modal Labs — frequently asked questions

Agent CTA Background

Revenue work. On autopilot.

Start Free TrialBuilt for revenue teams who care about quality.