Edgify

Collaborative AI Model-training Platforms for Edge Devices

Startup

Edgify is a Ramat Gan-based startup in the Business Software sector, established in 2014. Collaborative AI Model-training Platforms for Edge Devices. The company has raised a total of $18.13M across 6 funding rounds, currently at the Mature stage. Edgify was founded by Nadav Israel and Ofri Ben Porat. Key investors include Mangrove Capital Partners, Octopus Ventures, WeKiX, among 10 total investors. The company has 11-50 employees. Core technologies: Artificial Intelligence, Deep Learning, Machine Learning.

With $18.13M in total funding, Edgify is a Mature-stage company operating in Business Software. The company follows a B2B business model. Product stage: Released.

$18.13M
Raised
6
Rounds
10
Investors
5
Team
2014
Founded
Sector & Technology
Business SoftwareIT, R&D & Data SolutionsData ArchitectureArtificial IntelligenceDeep LearningMachine Learning
At a Glance
Investors

10 investors total

Founders
In the News

6 articles covered by sources including www.uktech.news, www.calcalistech.com, sifted.eu, www.privateequitywire.co.uk, www.telegraph.co.uk.

www.uktech.news · Jun 10, 2022
Edgify CEO on channelling musical theatre to run an AI startup
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Frequently Asked Questions
What does Edgify do?

Edgify has developed a solution that allows companies to train complete deep-learning and machine-learning models directly on their own edge devices, mitigating the need for any data transfer to the cloud while also providing near-perfect accuracy every time, without the need to retrain on a server or the cloud. Edgifys technology enables any connected device to interpret vast amounts of data generated at the edge, train a complete AI model locally, and share that learning across an entire network of similar devices, thereby training them all to identify unique aspects of a given object for use in computer vision, natural language processing, voice recognition, and any other form of artificial intelligence. Its framework can train artificial intelligence on a network of edge devices including MRI machines, connected cars, checkout lanes, mobile devices, and anything that has a CPU, GPU, or NPU. Due to the continuous and distributed learning at the edge on data generated locally, the accuracy of an AI model trained on an Edgify Framework is averaged at 99.98% and never decreases. This helps to reduce the risks, costs, and time associated with transferring sensitive data to or from an external server and effectively eliminates the need for a cloud-based learning infrastructure.

How much funding has Edgify raised?

Edgify has raised $18.13M in total funding across 6 rounds. The company is currently at the Mature stage. Key investors include Mangrove Capital Partners, Octopus Ventures, WeKiX.

Who founded Edgify?

Edgify was founded in 2014 by Nadav Israel (Co-founder & CTO), Ofri Ben Porat (Co-founder (No longer with the company)).

What sector is Edgify in?

Edgify operates in Business Software, IT, R&D & Data Solutions, Data Architecture, with core technologies in Artificial Intelligence, Deep Learning, Machine Learning. Target customers: Enterprise & Professional Services, SMBs & SMEs, Commerce & Retail, Distribution Channels, Supermarkets, Healthcare & Life Sciences, Healthcare, Providers.

Where is Edgify located?

Edgify is based in Derech Menachem Begin 11, Ramat Gan, Israel, Center District. The company also has offices abroad.

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