Modal

Modal
Modal
  • Headquarters

    New York, NY
  • Founded

    2022
  • CEO / Founder

    Erik Bernhardsson
  • Employees

    11-50
  • Funding

    Series B — $67M
  • Products

    1 product listed
  • Avg. AI Score

    8.2/10
  • Website

    modal.com/

Profile updated

Products
1
Avg AI Score
8.2/10
Founded
2022
Funding
$466M
About Modal

Modal is a serverless compute platform founded in 2022 by Erik Bernhardsson and headquartered in New York, NY. The platform enables developers, data scientists, and AI teams to run Python functions on cloud infrastructure—including CPU, GPU, and memory-intensive workloads—without provisioning or managing servers. Users deploy code by decorating Python functions with Modal decorators, and the platform handles scaling, containerization, and resource allocation automatically.

Modal's primary product is a Python SDK and cloud execution environment that supports GPU-accelerated workloads commonly used in machine learning model training, inference, and batch data processing. The platform targets AI researchers, ML engineers, and data teams who need on-demand access to compute resources such as NVIDIA A100 and H100 GPUs. Modal competes with services like AWS Lambda, Google Cloud Run, and specialized ML infrastructure providers such as Replicate and RunPod.

Modal raised a $16 million Series A round in 2023 and subsequently closed a $45 million Series B round in 2024, bringing total disclosed funding to approximately $67 million. The company was co-founded by Erik Bernhardsson, previously CTO of Better.com and an engineering leader at Spotify, where he created the Luigi data pipeline framework. Modal employs fewer than 50 people as of 2024.

Specialties
Serverless ComputingGPU InfrastructureMachine Learning InfrastructurePython Execution EnvironmentCloud ComputeAI Model DeploymentBatch Data Processing
Financials

Dated, source-cited figures. Estimates are marked.

Valuationest.
$4.7B
pulse2.com
Total Raisedest.
$466M
thesaasnews.com
Valuation over time
$1.1B(Sep 29, 2025)$2.5B(Feb 11, 2026, est.)$4.7B(May 21, 2026, est.)
Total Raised over time
$7M(2022, est.)$111M(Sep 29, 2025)$466M(May 21, 2026, est.)
Products by Modal

All products by Modal reviewed by our AI panel of experts.

Competitive Landscape

Who Modal competes with, and how they differ.

Baseten logo
Baseten8.0/10

Focuses specifically on model serving and inference deployment with a managed infrastructure layer, whereas Modal offers a broader general-purpose serverless compute platform for arbitrary Python and GPU workloads.

1 product reviewed on TopReviewed
Anyscale logo
Anyscale8.0/10

Built around the Ray distributed computing framework for large-scale ML training and serving, targeting teams already invested in Ray, while Modal provides a simpler function-based serverless model without requiring a specific framework.

1 product reviewed on TopReviewed
Google Cloud (Vertex AI) logo
Google Cloud (Vertex AI)7.9/10

A full-stack managed ML platform tied to Google Cloud's ecosystem with broader MLOps tooling (pipelines, feature store, model registry), priced via GCP consumption, compared to Modal's lightweight, cloud-agnostic serverless execution model.

2 products reviewed on TopReviewed
R
Replicate

A hosted platform for running and deploying open-source ML models via API with per-second GPU billing, more narrowly focused on model inference than Modal's general-purpose compute platform for arbitrary Python code.

R
RunPod

Offers on-demand and serverless GPU cloud infrastructure with a more infrastructure-centric, container-based deployment model, competing directly with Modal on GPU workload pricing and availability rather than developer-experience abstractions.

ClearML logo
ClearML7.8/10

An open-source-first MLOps suite emphasizing experiment tracking, orchestration, and on-prem/hybrid deployment control, contrasting with Modal's fully managed serverless execution approach.

1 product reviewed on TopReviewed

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