OmniML
The business, the turning points, and the decisions behind them.
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Sections to complete：02 · 05
01 / WHAT IT BUILT
What the company did
OmniML, founded in 2021 in San Jose, California by co-founder and CEO Di Wu, built ML model compression software that made artificial intelligence run on low-power edge devices such as smart cameras and drones. Its technology created smaller, faster machine learning models - including large language models - enabling up to ten-times faster AI inference on devices that lacked the computing power for large models.
02 / FAILURE REASONS
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03 / EVENT HISTORY
Events in the structured record
- Founded
OmniML was founded in San Jose, California, to solve the mismatch between AI applications and edge hardware through ML model compression.
- Seed round
OmniML exited stealth with $10 million in seed funding led by GGV Capital, with participation from Qualcomm Ventures, Foothill Ventures, Matrix Partners, Tectonic, GSR and IMO.
- Acquired by NVIDIA
NVIDIA quietly acquired OmniML in February to strengthen its AI edge workloads, as first reported by The Information; OmniML had announced a partnership with Intel just a month before.
04 / CONTEMPORARY REBUILD ASSESSMENT
Difficulty of rebuilding this project today
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Overall assessment: Not completed
05 / CAUSAL CHAIN / AFTERMATH
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