Aperture Sectors › AI Infrastructure › Training & fine-tuning platforms
Training & fine-tuning platforms funding
Training & fine-tuning platforms
A sub-sector of AI Infrastructure. Each company counts once, in its main sub-sector.
22 rounds, $2B raised by 15 companies, Jan 2, 2023 to Nov 14, 2026, 2% of AI Infrastructure capital. Top three companies: River AI 56%, Applied Compute 23%, Prime Intellect 7%.
| Company | HQ | Capital raised | Rounds | Exit |
|---|---|---|---|---|
| River AI | United States | $1.1B | 1 | — |
| Applied Compute | United States | $450M | 4 | — |
| Prime Intellect | United States | $136M | 2 | — |
| Union.ai | United States | $57M | 2 | — |
| Clockwork Systems | United States | $52M | 2 | — |
| Lightning AI | United States | $50M | 1 | — |
| HPC-AI Tech | Singapore | $50M | 1 | — |
| Lamini | United States | $25M | 1 | — |
| Shakudo | Canada | $14M | 2 | — |
| Ceramic.ai | United States | $12M | 1 | — |
| CTGT | United States | $7.2M | 1 | — |
| FedML | United States | $6M | 1 | — |
| RELAI | United States | $5.4M | 1 | — |
| OctaiPipe | United Kingdom | $3.8M | 1 | — |
| Apulis | China | $0 | 1 | — |
| Company | Amount | Stage | Announced |
|---|---|---|---|
| River AI | $1.1B | Series A | Aug 11, 2026 |
| Applied Compute | $350M | Unlabeled | Nov 2, 2026 |
| Prime Intellect | $130M | Series A | Jul 8, 2026 |
| Applied Compute | $80M | Unlabeled | Apr 8, 2026 |
| Lightning AI | $50M | Unlabeled | Nov 21, 2024 |
| HPC-AI Tech | $50M | Series A | Sep 26, 2024 |
| Union.ai | $38M | Series A | Feb 25, 2026 |
| Clockwork Systems | $31M | Unlabeled | Oct 5, 2026 |
| Lamini | $25M | Series A | May 2, 2024 |
| Clockwork Systems | $21M | Series A | Sep 10, 2025 |