About
Modal provides enterprises with a robust MLOps platform designed to simplify model deployment, scaling, and monitoring at cloud scale. It ensures compliance with industry standards while enabling secure, efficient, and reproducible ML workflows across teams.
This description came from a bulk import and has not yet been checked against the vendor's own page. Treat it as unverified.
Enterprise Readiness
from cataloged dataNot scored. Nobody has checked this entry against Modal’s own site yet, so the signals below are unverified and we will not turn them into a rating. The breakdown shows what our record holds.
No compliance certifications listed
Flexible deployment: Cloud, Self-Hosted
8 documented integrations
6 documented use cases
Founded 2020 · Series A
Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.
Independently sourced
Pulled directly from regulator filings and platform APIs. No vendor or editorial input.
Enterprise Use Cases
Integrations
How Modal compares
| Tool | Readiness | Pricing | Deployment | Compliance | Integrations |
|---|---|---|---|---|---|
| Modal | Not scored | Freemium | Cloud, Self-Hosted | — | 8 |
| Groq | Not scored | Enterprise | Cloud, On-Premise, Hybrid, Self-Hosted | — | 8 |
| Weights & Biases W&B | Not scored | Freemium | Cloud, On-Premise, Hybrid, Self-Hosted | — | 8 |
| Comet ML Platform | 70 · Strong | Enterprise | Cloud, On-Premise, Hybrid, Self-Hosted | — | 8 |
Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.
Frequently Asked Questions
What is Modal used for?
Modal is scalable MLOps platform for seamless deployment and management of machine learning models. It is commonly used for automated model deployment and scaling, continuous integration and delivery for ml models, real-time model monitoring and alerting, and collaboration across data science and engineering teams.
Is Modal free, and how is it priced?
Modal offers a free tier, with paid plans that add capacity and features.
How can Modal be deployed?
Modal supports Cloud and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.
What does Modal integrate with?
Modal documents 8 integrations, including AWS, Google Cloud, Azure, Kubernetes, Terraform, and GitHub.
When was Modal founded?
Modal was founded in 2020 and has raised $20M in funding.
Is Modal enterprise-ready?
Based on cataloged data, Modal has an Enterprise Readiness score of 59/100 (Established tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.
Quick Facts
Procurement
Evaluating vendors like this one?
The Enterprise AI RFI/RFP asks the security, governance, and lock-in questions sales decks skip.
See the template — RFI $299 / RFP $699 →Is this your product?
Claiming is free and lets you correct your listing's data. Upgrade to Enhanced ($199/yr) for a vendor-maintained mark, a richer profile, and lead routing.
Alternatives to Modal
View all →Comparable Data & MLOps tools, ranked by enterprise readiness.
Groq
groq.com
High-performance AI acceleration for scalable enterprise ML workloads
Weights & Biases W&B
wandb.ai
Enterprise MLOps platform for scalable, compliant machine learning lifecycle management.
Comet ML Platform
www.comet.com/site/
Platform for LLM observability, agent debugging, and ML experiment tracking.
DataRobot MLOps
www.datarobot.com/
DataRobot offers an agent workforce platform designed to unify complex enterprise environments and manage the agent lifecycle.
Seldon
seldon.io
Enterprise-grade MLOps platform for scalable, compliant ML deployment and monitoring
Determined AI Training
determined.ai
Enterprise-grade MLOps platform for scalable, efficient AI model training