Map → L6 AI Runtime, Serving & Model Access → Modal
Modal
L6 · AI Runtime, Serving & Model Access
workload abstractionstartupprivateseries C+
Modal Labs operates a serverless compute platform that allows machine learning developers to run code in containerized environments defined purely in Python. The platform automatically scales compute workloads from zero to thousands of GPUs in seconds without requiring manual container builds or Kubernetes orchestration. Teams use Modal to execute batch processing, model fine-tuning pipelines, and real-time inference microservices.
Ecosystem functionProvides a developer-native serverless compute runtime that replaces traditional cloud DevOps with code-defined infrastructure scaling.
Business modelUsage-based per-second GPU and CPU compute
Revenue—
Valuation$1.20Bestimated
Last round$355Mled by Accel · 2026
Sources · 4 ↓
Suggest an editLast verified 2026-07-26