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Modal Labs

Private

AI Infrastructure

Founded 2021New York, NY~50 (2025) employees
Website

Valuation

Undisclosed (Series B, 2024)

Total Funding

$67M

Profit Status

Pre-profit; usage-based revenue

Employees

~50

About Modal Labs

Modal is a serverless cloud platform built specifically for AI and ML workloads. Developers define Python functions with decorators and Modal handles GPU provisioning, container building, scaling, and scheduling automatically. There is no infrastructure to manage — an LLM fine-tuning job or a diffusion model inference endpoint can be deployed in minutes. Modal is especially popular for running batch AI jobs, hosting ML model APIs, and fine-tuning open-source models without DevOps overhead.

Company History

Founded 2021 by Erik Bernhardsson (ex-Spotify ML infrastructure lead) and Akshat Bubna. Launched 2022. Grew rapidly by offering the simplest GPU cloud experience for Python developers. Raised Series B in 2024. Became a favourite among AI researchers and startups for running diffusion models, fine-tuning LLMs, and batch inference at scale.

Company Timeline

  • 2021

    Founded by Erik Bernhardsson (ex-Spotify) and Akshat Bubna

  • 2022

    Public launch; Python-native serverless GPU cloud

  • 2023

    Rapid adoption among AI researchers and startups; Series A

  • 2024

    Series B $67M; Modal Sandboxes for code execution; 50K+ developers

Products & Services

Modal Serverless GPU CloudModal Functions (Python decorators)Modal VolumesModal Web EndpointsModal Sandboxes

Company Details

Focus Area

AI Infrastructure

Stage

Private

Founded

2021

Headquarters

New York, NY

Employees

~50 (2025)

Financial Overview

Total Funding

$67M

Valuation

Undisclosed (Series B, 2024)

Profit Status

Pre-profit; usage-based revenue

Key Investors

Redpoint VenturesUnusual VenturesNat FriedmanDaniel Gross

Key People

  • Erik Bernhardsson (CEO / Co-founder)
  • Akshat Bubna (Co-founder)

Competitive Landscape

ReplicateRunPodLambda LabsBeam CloudBanana Dev

Tags

Serverless
GPU Cloud
Python
ML Infrastructure
Fine-tuning
Inference