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Deci AI

Founded Year



Series B | Alive

Total Raised


Last Raised

$25M | 5 mos ago

About Deci AI

Deci AI enables deep learning to live up to its true potential by using AI to build better AI. With the company’s end-to-end deep learning acceleration platform, AI developers can build, optimize, and deploy faster and more accurate models for any environment including cloud, edge, and mobile, allowing them to transform industries with world-changing products. The platform is powered by Deci’s AutoNAC (Automated Neural Architecture Construction) technology, an algorithmic optimization engine that squeezes maximum utilization out of any hardware without compromising on accuracy. Deci was founded in 2019 and is based in Ramat Gan, Israel.

Headquarters Location

Hugi Tower 8F Abba Hillel Silver Road 12

Ramat Gan, 5250606,



Deci AI's Product Videos

ESPs containing Deci AI

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

Emerging Tech / Artificial Intelligence

Vendors here build software that optimizes hardware and compute resources taken up by AI models during training and inference. These solutions allow enterprises to compress neural networks to run on edge devices or on-prem servers.

Deci AI named as Outperformer among 6 other companies, including Run:AI, OctoML, and Deeplite.

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Deci AI's Products & Differentiators

    Deep Learning Development platform

    Deci’s platform, powered by Neural Architecture Search technology, enables AI teams to automatically build computer vision models that deliver the highest accuracy for any given inference hardware, speed, size and targets. Developers can use pre-trained and optimized models (DeciNets) generated by Deci or use the platform to generate new architectures that are tailored for their specific use-cases. In addition, the platform includes a range of development tools including a hardware-aware model zoo to easily select and benchmark models and hardware, SuperGradients - an open source training library with proven recipes for faster training, automated runtime optimizations, model packaging and more. By using Deci, AI teams shorten development time, enable deployment on edge devices, or cut up to 80% of cloud compute costs.

Expert Collections containing Deci AI

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Deci AI is included in 3 Expert Collections, including Artificial Intelligence.


Artificial Intelligence

9,442 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.


AI 100

100 items

Winners of CB Insights' 5th annual AI 100, a list of the 100 most promising private AI companies in the world.


Digital Health

8,838 items

Startups recreating how healthcare is delivered

Deci AI Patents

Deci AI has filed 1 patent.

The 3 most popular patent topics include:

  • Applications of computer vision
  • Artificial neural networks
  • Computational neuroscience
patents chart

Application Date

Grant Date


Related Topics



Artificial neural networks, Mathematical optimization, Computational neuroscience, Neuroscience, Networks


Application Date


Grant Date


Related Topics

Artificial neural networks, Mathematical optimization, Computational neuroscience, Neuroscience, Networks



Deci AI Web Traffic

Page Views per User (PVPU)
Page Views per Million (PVPM)
Reach per Million (RPM)
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Deci AI Rank

Deci AI Frequently Asked Questions (FAQ)

  • When was Deci AI founded?

    Deci AI was founded in 2019.

  • Where is Deci AI's headquarters?

    Deci AI's headquarters is located at Hugi Tower 8F, Ramat Gan.

  • What is Deci AI's latest funding round?

    Deci AI's latest funding round is Series B.

  • How much did Deci AI raise?

    Deci AI raised a total of $55.1M.

  • Who are the investors of Deci AI?

    Investors of Deci AI include Square Peg Capital, Emerge, Jibe Ventures, Insight Partners, Fort Ross Ventures and 6 more.

  • Who are Deci AI's competitors?

    Competitors of Deci AI include NOTA, OmniML, DataGen Technologies, Run:AI, OctoML and 8 more.

  • What products does Deci AI offer?

    Deci AI's products include Deep Learning Development platform .

  • Who are Deci AI's customers?

    Customers of Deci AI include RingCentral.

Compare Deci AI to Competitors

OctoML Logo

OctoML offers efficient and secure deployments of machine learning and deep learning models as a managed service.

Deeplite Logo

Deeplite is an AI software company dedicated to enabling AI for everyday life. Deeplite uses AI to automatically make other AI models faster, smaller and more energy-efficient creating highly compact, high-performance deep neural networks for deployment on edge devices such as cameras, sensors, drones, phones, and vehicles.

Latent AI Logo
Latent AI

Latent AI is an early stage venture spinout of SRI International dedicated to building solutions to transform AI processing. The Latent AI Efficient Inference Platform (LEIP) brings AI to the edge by optimizing for compute, energy, and memory without requiring changes to existing AI/ML infrastructure and frameworks.

Neural Magic Logo
Neural Magic

Neural Magic develops an inference engine that data scientists can run on computers running CPUs, rather than specialized chips like GPUs or TPUs.

Run:AI Logo

Run:AI builds a virtualization layer for AI workloads. By abstracting workloads from the underlying infrastructure, Run:AI creates a shared pool of resources that can be provisioned on the fly, enabling full utilization of expensive GPU to compute. IT teams retain control and gain real-time visibility – including seeing and provisioning run-time, queuing, and GPU utilization – from a single web-based UI. This virtual pool of resources enables IT leaders to view, allocate, and compute resources across multiple sites.

Edge Impulse Logo
Edge Impulse

Edge Impulse enables developers to create intelligent device solutions with embedded machine learning on devices for sensors, audio, and computer vision at scale. It enables developers to use sensor, audio, and camera data in asset tracking and monitoring, human interfaces, and predictive maintenance applications. The company caters to the agriculture, appliances, buildings, environment, health, industry, infrastructure, and wearables sectors. The company was founded in 2019 and is based in San Jose, California.

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