Ora Computing builds software and algorithms to compress and optimise AI foundation models, claiming up to 80% model size reduction and up to fourfold inference speedups while typically keeping accuracy losses between 0 and 5%. Its technology integrates with standard inference frameworks and operates across hardware platforms without requiring custom software layers, infrastructure changes, or capital-intensive retraining. The company demonstrated compressing a 70-billion-parameter model within hours at a compute cost below $1,000, and estimates that 1% market penetration could save over 50,000 tonnes of CO₂ annually. Ora targets cloud inference providers and organisations deploying AI at the edge, and plans to use the new funding to expand the team, extend compression capabilities for the largest models, and launch a commercial product. Stefan Sack is cited as CEO and co-founder.

Total raised

$4M

Funding rounds

1

Latest round

Seed

Latest activity

Jun 2026