Explore the most comprehensive database of venture-funded AI infrastructure companies. Browse 607 AI infrastructure startups with verified founder contacts, funding details, and company metrics. Whether you are prospecting, recruiting, or researching the AI infrastructure landscape, VCBacked gives you direct access to the data you need.
Get founder emails, funding data, and company details in one CSV
| Company | Funding |
|---|---|
| $50.0M | |
| $250K | |
| $5.5M | |
| $5.0M | |
| $2.0M | |
| Undisclosed | |
| $3.5M | |
| $9.0M | |
| $750K | |
| $42.0M | |
| $4.7M | |
| $500K | |
| $15.0M | |
| $12.0M | |
| Undisclosed | |
| Undisclosed | |
| $6.5M | |
| $12.9M | |
| $5.0M | |
| $100.0M | |
| $34.7M | |
| $630K | |
| $1.3M | |
| $400K | |
| $20.5M | |
| $3.6M | |
| $100.0M | |
| Undisclosed | |
| $564.3M | |
| $20.0M | |
| $1.0M | |
| $2.0M | |
| $60.0M | |
| Undisclosed | |
| $99.0M | |
| Undisclosed | |
| Undisclosed | |
| $20.0M | |
| $3.0M | |
| $500K | |
| $2.3M | |
| $5.0M | |
| Undisclosed | |
| Undisclosed | |
| $12K | |
| $2.0M | |
| $200.0M | |
| $654K | |
| $450K | |
| $1.2M | |
| $3.0M | |
| $113.6M | |
| $1.0M | |
| $35.0M | |
| $2.9M | |
| $468.5M | |
| $835.0M | |
| Undisclosed | |
| $1.5M | |
| $125.0M | |
| $15.0M | |
| $6.4M | |
| $7.3M | |
| Undisclosed | |
| $1.4M | |
| $75.0M | |
| $1.5M | |
| $2.5M | |
| Undisclosed | |
| $4.0M | |
| $100.0M | |
| $2.2M | |
| $300K | |
| $400.0M | |
| $5.0M | |
| $77.6M | |
| $300.0M | |
| $60.0M | |
| $10K | |
| $1.1M | |
| $1.0M | |
| $3.0M | |
| Undisclosed | |
| $25.0M | |
| $2.5B | |
| $5.9M | |
| Undisclosed | |
| $4.3B | |
| $500K | |
| $3.0M | |
| $13.7M | |
| $350K | |
| $5.7M | |
| Undisclosed | |
| $34.0M | |
| $15.0M | |
| $100.0M | |
| $400K | |
| $2.5M | |
| $11.6M |
Showing 100 of 607 companies
View All 607 AI Infrastructure CompaniesGet verified contact info for decision-makers at 607 funded startups
AI infrastructure is the layer that makes modern AI possible -- and one of the hottest areas of venture investment. As foundation models scale, investors are backing companies that provide GPU compute and cloud, model training and inference platforms, vector databases, orchestration and MLOps, data pipelines, and the observability and security tooling that production AI requires.
The AI infrastructure landscape spans compute and GPU cloud, inference and serving platforms, vector and retrieval databases, orchestration and agent frameworks, fine-tuning and evaluation tooling, and AI observability, governance, and security. These are largely developer- and enterprise-facing products that sit between raw hardware and end-user AI applications.
For B2B sellers, recruiters, and partners, funded AI infrastructure companies are prime targets: after a raise they hire systems and ML engineers aggressively and spend heavily on compute, data, and go-to-market. Reaching AI infrastructure founders right after a funding round gives you an edge in one of the fastest-moving markets in software.