O
OmniML
Software that helps you train a faster and smaller model, with compact neural architecture design targeting specific hardware, state-of-the-art training techniques, and compression
About OmniML
OmniML.ai is a software company specializing in the development of efficient machine learning (ML) models. Their primary focus is on creating smaller and faster ML models through advanced techniques in neural architecture design, training, and compression. These models are optimized for specific hardware, ensuring high performance and efficiency.
The company serves a diverse range of clients, including businesses and developers who need optimized ML solutions for various applications. These applications include 2D and 3D detection, face pose recognition, Generative Adversarial Networks (GANs), and 2D and 3D segmentation. OmniML.ai operates in the rapidly growing artificial intelligence (AI) and machine learning market, which is seeing increasing demand for more efficient and effective ML models.
OmniML.ai's business model revolves around providing software solutions that enable clients to train and deploy ML models that are both compact and high-performing. They offer a "push the button" solution for hardware-aware model design, leveraging state-of-the-art AutoML (Automated Machine Learning) techniques. This means that clients can easily create optimized models without needing deep expertise in ML.
The company makes money by selling its software solutions and services to clients who need to improve the performance and efficiency of their ML models. Their offerings include fast inference engines that are optimized for mobile devices and various hardware platforms like STM32, Raspberry Pi, and Jetson devices. These engines are reported to be three times faster than TensorFlow Lite Micro, a popular ML framework.
In summary, OmniML.ai provides cutting-edge software solutions for creating smaller, faster, and more efficient ML models, catering to a wide range of applications and hardware platforms.
Source: Dealroom company dataAt a glance
- Status
- Acquired
- Founded
- 2021
- Headquarters
- San Jose, United States
- Employees
- 2
- Open positions
- None listed
- Dealroom signal
- 54.3/100
- Industry
- Enterprise Software
- Sector
- AI, Core AI, MLops, Hard Tech, AI Model Training and Development
- Technology
- Artificial Intelligence
- Business model
- Manufacturing, SaaS
- Client focus
- b2b
Knowledge graph
More headlines
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| ACQUISITION✓Exit | Feb 2023 | $0 | — | Nvidia | ↗ |
| SEED✓Equity / VC | Mar 2022 | $10M | $40M | GSR Capital · Foothill Ventures · Notable Capital · Qualcomm Ventures | ↗ |
Growth signals
Latest recorded traffic for OmniML is 1.1K monthly website visits, up 816.7% over the last three months. OmniML's team grew 0% over the past year.
Similar companies
Company identity and context are open; selected comparison metrics preview what is available on the platform.
Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed7 investors entered at this stage
Notable Capital- GCGSR Capital
Foothill Ventures
Qualcomm Ventures
Matrix Partners- IVIMO Ventures
Tectonic
Other known investors4 additional known investors
Nvidia- ARAlex Ren
Fellows Fund- TVTectonic Ventures
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about OmniML on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
See OmniML’s full profile on Dealroom
Request a free trial to see the complete deal history, financials, people graph and growth signals.
Takes under a minute. Already use Dealroom? Log in.







