01What it sells and who buys it
Modal runs AI inference, batch jobs, training and agent environments in the cloud. It serves teams that want to ship AI products without managing the underlying fleet of servers.
02How the business makes money
Customers pay for the compute resources and runtime they consume. Revenue expands as applications and agents built on the platform perform more work.
03Marketing and customer acquisition
Modal grew from small developer jobs into production infrastructure.
- 01
Put infrastructure management behind code
SourceDevelopers could execute code without assembling infrastructure themselves, moving from small tests toward production inference and agent workloads.
- 02
Connect technical content to production adoption
SourceCode examples and technical material let developers start with a real workload. Customer deployments demonstrate larger inference and agent use cases, while contributions to open-source inference engines build technical visibility. Teams can begin with a small job and expand by moving production workloads onto the platform.
- 03
Financing the next stage
SourceAn $87 million Series B in September 2025 was followed by a $355 million Series C led by General Catalyst and Redpoint in May 2026. Modal reported a $4.65 billion valuation and more than $300 million in annualized revenue.
How the growth mechanism works
- Run an example
- Move a GPU workload
- Scale production traffic
- Pay for consumption
Low setup friction lets developers evaluate the platform directly. Production deployment creates expansion as workloads grow. Technical documentation serves both discovery and implementation, connecting distribution to product use.
04Funding and expansion
An $87 million Series B in September 2025 was followed by a $355 million Series C led by General Catalyst and Redpoint in May 2026. Modal reported a $4.65 billion valuation and more than $300 million in annualized revenue.