Startup profile for Modal Labs: latest funding, latest known valuation, total disclosed funding, investors, status, sources, and why the company is interesting. Part of the Venture Capital Tracker startup directory.

Startup profile · funding coverage

Modal Labs funding, valuation and investors

NYC serverless cloud for AI workloads — GPUs, sandboxes, batch jobs, and inference without managing clusters.

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Funding, valuation & investors

Answer-first snapshot

Latest funding

Series C

$355M · May 2026

Latest known valuation

$4.65B

Series C · May 2026

Total disclosed equity funding

$442M

Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.

Current status

private

growth · New York, USA

Sources: latest funding Last verified: 2026-07-25

Overview

Modal (Modal Labs), founded in 2021 by Erik Bernhardsson (former Spotify ML lead, Better.com CTO) and Akshat Bubna (former Scale AI), provides a serverless AI-native cloud platform from New York with offices in San Francisco and Stockholm. Developers define compute in Python decorators; Modal handles containerization, GPU provisioning, scaling, and per-second billing across globally distributed infrastructure. Use cases span LLM inference, secure code sandboxes for AI agents, batch jobs, fine-tuning clusters, and notebooks. Customers include Anthropic, Meta, DoorDash, Cognition, and Suno. In May 2026, Modal raised $355M Series C at a $4.65B valuation led by General Catalyst and Redpoint, with Bain Capital Ventures, Menlo Ventures, and Accel joining — CEO Bernhardsson told Reuters ARR reached roughly $300M, up from ~$60M in September 2025.

Why Modal Labs is interesting

Modal built its own Rust-based container runtime, scheduler, and file system for sub-second GPU cold starts — ARR reportedly jumped from ~$60M to ~$300M in months as AI coding agents drove production compute demand.

Product & use cases

Modal is a Python-native serverless platform for AI and data workloads — spin up GPUs, run LLM inference, launch secure agent sandboxes, and execute massive parallel batch jobs with sub-second cold starts and usage-based pricing.

  • AI coding agents running secure sandboxes at scale (e.g., Lovable, Devin-style workflows)
  • Production LLM inference and fine-tuning without dedicated platform engineering teams
  • Batch processing: transcription, protein folding, weather forecasting, media pipelines
  • Exploratory GPU notebooks with near-instant cold starts for data science teams

Key facts

  • Series C (May 2026): $355M at $4.65B valuation — led by General Catalyst and Redpoint
  • ARR ~$300M reported by CEO, up from ~$60M in September 2025 (Reuters via Crunchbase)
  • Over 1B sandboxes launched on platform; customers include Anthropic, Meta, Cognition
  • Custom Rust infrastructure: file system, container runtime, scheduler built in-house
  • Prior Series B (Sep 2025): $87M at $1.1B led by Lux Capital
  • Founders are IOI gold medalists; Bernhardsson built Spotify's music recommendation system

Funding history (newest first)

Investors in our directory

Funds linked from Modal Labs's profile — open a fund page for stage focus and related deal articles.

Competitive landscape

Edge: Vertically integrated AI-native runtime in Rust delivers sub-second GPU cold starts and per-second billing — faster iteration than assembling AWS/GCP primitives or hiring a platform team.

AI infrastructure winners sell reliability and cost in production, not API wrappers. Modal's fivefold ARR growth suggests enterprise AI coding moved from pilot to budget line item — it competes on developer speed and sandbox isolation where hyperscalers require months of platform engineering.

  • AWS / GCP / Azure incumbent

    Hyperscaler GPU and container services; Modal abstracts cluster ops with better DX for AI-native teams but less enterprise procurement familiarity.

  • Replicate direct

    Model hosting and inference API; narrower scope than Modal's full compute primitives (sandboxes, batch, training clusters).

  • Anyscale direct

    Ray-based distributed compute; heavier setup versus Modal's decorator-first serverless model.

  • CoreWeave adjacent

    GPU cloud infrastructure; raw compute versus Modal's application-layer serverless abstraction.

Notable stories

  • CEO Erik Bernhardsson spent seven years at Spotify building the music recommendation system before running Better.com's engineering org to 300 people — Modal is his infrastructure bet for the AI era (Modal company page, LinkedIn).
  • Modal's Series C closed in two tranches — initial at $2.5B valuation, then $4.65B as investor demand exceeded supply, reflecting AI coding agent compute going mainstream (Silicon Valley Investclub, May 2026).

Industries

AI & Machine Learning Developer Tools Infrastructure & Cloud

Related funding articles

Venture Capital Tracker pieces that cover Modal Labs's financing or category context.

FAQs about Modal Labs

Practical answers founders, operators, and investors typically search for.

Modal provides serverless cloud infrastructure for AI workloads — GPUs, LLM inference, secure agent sandboxes, batch jobs, and training clusters via a Python-native API.
Modal raised $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint — see /fund/general-catalyst and /fund/redpoint-ventures.
CEO Erik Bernhardsson told Reuters ARR reached roughly $300M by May 2026, up from about $60M in September 2025 — fivefold growth in under a year.
Erik Bernhardsson (CEO, ex-Spotify ML, Better.com CTO) and Akshat Bubna (CTO, ex-Scale AI) founded Modal in 2021 in New York.
Modal offers sub-second GPU cold starts, per-second billing, and Python decorators — faster for AI teams than assembling EC2/EKS clusters, but less suited for enterprises needing full cloud control planes.
Customers include Anthropic, Meta, DoorDash, Cognition (Devin), Suno, and Chai Discovery — plus AI agent platforms running tens of thousands of concurrent sandboxes.
New York City, with offices in San Francisco and Stockholm.
Profitability not publicly disclosed; rapid ARR growth to ~$300M suggests strong unit economics but no confirmed profitability.
Modal built custom infrastructure in Rust — its own file system, container runtime, scheduler, and GPU memory snapshotting for sub-second cold starts.
Replicate focuses on model hosting APIs; Modal is broader compute infrastructure — sandboxes, batch, training clusters, and inference in one serverless platform.

By Venture Capital Tracker

Last updated:

Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.