OmniML

San Jose, California Software Acquired

OmniML is an AI startup specializing in model compression and efficient machine learning. The company develops hardware-aware neural architecture search and deep learning optimization technology to enable machine learning models, including large language models, to run efficiently on edge devices. Their proprietary Omnimizer platform automates model design, training, and deployment for GPUs, FPGAs, SoCs, and MCUs.

Acquired

OmniML has been acquired

Acquired by NVIDIA Feb 2023

This company is no longer available on our private secondary market.

Overview

Company data and valuation marks are estimates and may be incomplete, stale, erroneous, or revised.

Founded

2021

Total Funding

$10M

2 rounds

Funding

Funding data and valuation marks are estimates and may be incomplete, stale, erroneous, or revised.

Total raised $10M across 2 rounds

Last updated 06-25-2026

DateRoundAmount RaisedValuationLead Investors
Jan 28, 2023 Acquisition (exit) The Information Not disclosed NVIDIA
Mar 2022 Seed $10M GGV Capital

Leadership

  • Song Han

    Founder & CEO

  • Di Wu

    Co-Founder

  • Huizi Mao

    Co-Founder

Competitors

Competitor list is illustrative and may be incomplete, stale, or erroneous.

  • TensorFlow Lite

    Google's lightweight deep learning framework for mobile and edge devices

  • ONNX Runtime

    Open standard format for machine learning models with runtime optimization

  • PyTorch Mobile

    Meta's framework for deploying PyTorch models on mobile and edge devices

  • Qualcomm AI Engine

    Qualcomm's on-device AI acceleration and optimization platform

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