Deci: Using AI to craft the next generation of deep learning

After recently raising US$25mn, we take a look at how Deci uses its deep learning platform to help companies transform AI

Founded in 2019, Deci is a deep learning company that harnesses AI to help solve an AI efficiency gap. 

It has created a development platform for deep learning aimed at making it easy for AI developers to build, optimise and then deploy their models quickly, in the cloud, at the edge or on mobile devices.

Deci’s deep learning development platform is powered by Deci’s proprietary AutoNAC (Automated Neural Architecture Construction) technology, an algorithmic optimisation engine that empowers data scientists to build best-in-class deep learning models that are tailored for any task, data set and target inference hardware. 

“Deci’s deep learning development platform has a proven record of enabling companies of all sizes to do just that by providing them with the tools they need to successfully develop and deploy world-changing AI solutions – no matter the level of complexity or production environment. This funding is a vote of confidence in our work to make AI more accessible and scalable for all,” Yonatan Geifman, CEO and co-founder of Deci. 

Solving the growing AI efficiency gap

Deci recently announced it has raised US$25mn in a Series B funding round, which comes seven months after Deci secured US$21mn in Series A funding, bringing Deci’s total funding to US$55.1mn. 

The funds will be used to expand Deci’s go-to-market activities, as well as further accelerate the company’s R&D efforts.

According to Deci, deep learning-powered advancements in AI have led to innovations that have the potential to revolutionise services, products, and consumer applications. However, the AI efficiency gap, a situation in which hardware is unable to meet the increasing computing demands of models that are growing in size and complexity, has proven to be an obstacle to more widespread AI commercialisation. 

“The growing AI efficiency gap only further highlights the importance of ‘shifting left’ – accounting for production considerations early in the development lifecycle, which can then significantly reduce the time and cost spent on fixing potential obstacles when deploying models in production. Deci’s deep learning development platform has a proven record of enabling companies of all sizes to do just that by providing them with the tools they need to successfully develop and deploy world-changing AI solutions – no matter the level of complexity or production environment. This funding is a vote of confidence in our work to make AI more accessible and scalable for all,” said Geifman, CEO and co-founder of Deci. 

Deci’s deep learning platform helps data scientists eliminate the AI efficiency gap by adopting a more productive development paradigm. With the platform, AI developers can leverage hardware-aware Neural Architecture Search (NAS) to quickly build optimised deep learning models that are designed to meet specific production goals.

Share

Featured Articles

ICYMI: OpenAI spots fakes and Saudi Arabia’s OffWorld robots

A week is a long time in artificial intelligence, so here’s a round-up of the AI Magazine articles that have been starting conversations around the world

AI “virtuous circle” could help in battle against cybercrime

New research by security company Darktrace and IDC says companies need to adopt a holistic approach if they are to successfully prepare for a cyber attack

OpenAI helps spot AI text before it gets used for cheating

OpenAI’s AI Text Classifier aims to spot content generated by AI platforms before it can be used by bad actors, but the company admits it's not perfect

OffWorld takes robot swarms to Ma’aden mines in Saudi Arabia

Technology

New online degree promises to open up AI education for all

AI Strategy

ICYMI: Microsoft’s plans for quantum and Open AI investment

Technology