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AI
Compact AI models designed to run efficiently on phones, robots and other edge devices.
PrismML develops model compression techniques for running capable AI on constrained hardware. Its Bonsai 2 model uses ternary weights to reduce a 27-billion-parameter model to 5.9 GB; it retained 98% of the benchmark performance of the original. Smaller models can bring inference closer to phones, robots and other devices where power and memory are limited.
| Announced | Round | Amount | Investors |
|---|---|---|---|
| Seed | $22.3M | Cerberus Capital — ParticipantKhosla Ventures — Participant |