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Deci AI
Deep learning development platform for building efficient models
About Deci AI
Deci AI provides an end-to-end deep learning development platform that enables AI developers to build, optimize, and deploy more efficient and accurate models for various environments, including cloud, edge, and mobile. Founded in 2019 by Dr. Yonatan Geifman, Professor Ran El-Yaniv, and Jonathan Elial, the company was established to address the AI efficiency gap, where hardware struggles to meet the computational demands of increasingly complex models. Geifman serves as CEO, Elial as COO, and El-Yaniv as Chief Scientist.
The company's core technology is its proprietary Automated Neural Architecture Construction (AutoNAC) engine. This algorithmic optimization engine utilizes Neural Architecture Search (NAS) to redesign a trained model's architecture, enhancing its inference performance in terms of throughput and latency while preserving accuracy for specific target hardware. The platform is designed to shorten development cycles and reduce computing costs by up to 80%. Deci's offerings include highly efficient foundation models for computer vision, NLP, and Generative AI, as well as tools for customizing, optimizing, and deploying models into production. The company has released several models, including DeciLM-7B, DeciCoder, and Deci-Nano, which are designed to be smaller and more cost-effective than comparable models.
Headquartered in Ramat Gan, Israel, Deci AI serves clients across various sectors, including automotive, manufacturing, retail, cybersecurity, healthcare, and finance. Prior to its acquisition, the company had raised a total of $55.1 million in funding over three rounds, with its Series B in July 2022 raising $25 million led by Insight Partners. In May 2024, Nvidia acquired Deci AI for an estimated $300 million. This acquisition aims to complement Nvidia's AI expertise with Deci's capabilities in automated model design and performance improvement.
Source: Dealroom company dataAt a glance
- Status
- Acquired
- Founded
- 2019
- Headquarters
- Tel Aviv-Yafo, Israel
- Employees
- 26
- Open positions
- None listed
- Dealroom signal
- 61.3/100
- Industry
- Enterprise Software
- Sector
- AI, Core AI, Spinout, Novel AI, MLops, AI Model Deployment and Monitoring, DT and LS
- Technology
- Artificial Intelligence, Hardware, Deep Tech, Machine Learning, Deep Learning
- Business model
- SaaS
- Client focus
- b2b
Knowledge graph
More headlines
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| ACQUISITIONOther financing | Apr 2024 | $300M | $300M | Nvidia | ↗ |
| SERIES BOther financing | Jul 2022 | $25M | $100M | Emerge Ventures · Insight Partners · Square Peg Capital · Fort Ross Ventures | ↗ |
Financials
Revenue, earnings and other financial measures where available. Years marked “E” are estimates.
Growth signals
Latest recorded traffic for Deci AI is 590 monthly website visits, up 391.7% over the last three months. Deci AI's team declined 74.3% 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.
Seed2 investors entered at this stage
Square Peg Capital
Emerge Ventures
Series A6 investors entered at this stage
Insight Partners
Vintage Investment Partners
Samsung Next
Fort Ross Ventures
Jibe Ventures
ICON Accelerator
Other known investors2 additional known investors
Nvidia
Technion Israel Institute of Technology
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about Deci AI 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
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