Decision-Making AI For The Enterprise

InstaDeep delivers AI-powered decision-making systems for the Enterprise. With expertise in both machine intelligence research and concrete business deployments, we provide a competitive advantage to our customers in an AI-first world.

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Building AI systems for the industry

Leveraging its expertise in GPU-accelerated computing, deep learning and reinforcement learning, InstaDeep has built AI systems to tackle the most complex challenges across a range of industries and sectors.

Biology Biology

Biology

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Logistics Logistics

Logistics

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Electronic Design Electronic Design

Electronic Design

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Energy Energy

Energy

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Latest

Our latest updates from across our channels

InstaDeep launches DeepPack Early Access Program...

on Jun 29, 2022 | 12:59pm

InstaDeep is pleased to announce our DeepPack Early Access Program. DeepPack is an AI-powered, scalable and easy to use SaaS that generates detailed, efficient and customisable lo...

InstaDeep ranked among 100 most promising B2B companies in Europe...

on Jun 28, 2022 | 06:57pm

InstaDeep has been named part of the inaugural class of  “Europe's Rising 100” by the Financial Times-backed Sifted. The report tracks 100 B2B startups that “have the m...

InstaDeep CEO stresses AI is critical for Africa on panel with Gh...

on Jun 14, 2022 | 03:55pm

InstaDeep’s Co-Founder and CEO Karim Beguir joined Ghana’s president, Nigeria’s vice-president, the IFC’s managing director and other high-ranking officials onstage at the...

InstaDeep partner up with Novation City for AI Garage acceleratio...

on Jun 06, 2022 | 07:49am

As part of InstaDeep’s ongoing involvement in the Tunisian AI ecosystem to empower emerging talent, the company is pleased to confirm it has joined the Novation City Acceleratio...

Karim Beguir honoured as “Entrepreneur of The Year” at the Fi...

on May 27, 2022 | 06:51pm

InstaDeep was one of many prominent African companies and speakers that attended the fifth international FITA 2022 (Financing Investment and Trade in Africa) conference held in Tu...

InstaDeep opens first US office, joining Kendall Square’s d...

on May 19, 2022 | 11:20am

BOSTON (MAY 19, 2022) – InstaDeep, a leader in advanced AI decision-making systems for solving real-world problems, announced Thursday it has opened its first US office in the h...

InstaDeep ranked among global top 100 AI startups for third year ...

on May 17, 2022 | 01:09pm

InstaDeep is very proud to have been included in the 2022 CB Insights AI 100 - a comprehensive listing of the 100 most promising private AI startups in the world. This marks the t...

InstaDeep, Imperial College London and Sorbonne joint research ac...

on Apr 28, 2022 | 01:17pm

InstaDeep proudly announces that a co-authored research paper on Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization has been accepted by ICLR and will b...

InstaDeep launches dedicated Quantum Machine Learning team, as fi...

on Apr 06, 2022 | 12:02pm

InstaDeep is pleased to announce the formation of a new Quantum Machine Learning (QML) team within the company’s well-established research department. The announcement coincides...

Zohra Slim speaks at future women leaders event...

on Apr 01, 2022 | 06:08pm

InstaDeep’s Co-Founder and CWO, Zohra Slim, was recently invited to participate in the "Equity in Information Age Leadership" (EIAL) conference, organised by the social enterpri...

Research

Diversity Policy Gradient for Sample Efficient Quality-Diversity Optimization

Thomas Pierrot | Valentin Macé | Felix Chalumeau | Arthur Flajolet | Geoffroy Cideron | Karim Beguir | Antoine Cully | Olivier Sigaud | Nicolas Perrin-Gilbert

ICLR Apr 2022

Autoregressive neural-network wavefunctions for ab initio quantum chemistry

Dr Thomas Barrett | Prof A. I. Lvovsky | Aleksei Malyshev

Nature Machine Intelligence Apr 2022

Robust and Scalable SDE Learning: a Functional Perspective

Scott Cameron | Tyron Cameron | Arnu Pretorius | Stephen Roberts

ICLR Jan 2022

One Step at a Time: Pros and Cons of Multi-Step Meta-Gradient Reinforcement Learning

C. Bonnet | P. Caron | T. Barrett | I. Davies | A. Laterre

NeurIPS Workshop 2021 Dec 2021

On pseudo-absence generation and machine learning for locust breeding ground prediction in Africa

I.S. Yusuf | K. Tessera | T. Tumiel | Z. Slim | A. Kerkeni | S. Nevo | A. Pretorius

NeurIPS Workshop 2021 Dec 2021

Causal Multi-Agent Reinforcement Learning: Review and Open Problems

S.J. Grimbly | J. Shock | A. Pretorius

NeurIPS Workshop 2021 Dec 2021

In the Press