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.

Learn More

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

Read More
Logistics Logistics

Logistics

Read More
Electronic Design Electronic Design

Electronic Design

Read More
Energy Energy

Energy

Read More

Latest

Our latest updates from across our channels

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...

InstaDeep returns to Biologics UK for second year...

on Mar 24, 2022 | 11:03am

Following on from last year’s successful event, InstaDeep attended Oxford Global’s Biologics UK conference in London again this week, as a key Platinum sponsor. Exhibiting its...

InstaDeep Partners with Nvidia

InstaDeep Collaborates with NVIDIA to Use the Cambridge-1 UK Supe...

on Mar 22, 2022 | 06:20pm

LONDON (March 22, 2022) InstaDeep today announced it will use the NVIDIA Cambridge-1 supercomputer to accelerate the next wave of biology innovation. The company plans to train AI...

InstaDeep speaking at NVIDIA GTC 2022...

on Mar 18, 2022 | 07:12am

InstaDeep is proud to announce that it is again speaking at NVIDIA's GPU Technology Conference (GTC), happening this 21-24 March.  The company is joining an illustrious roste...

Help develop more effective snake bite treatments by participatin...

on Mar 16, 2022 | 03:57pm

InstaDeep is proudly sponsoring the third annual UmojaHack Africa, Africa’s biggest inter-university machine learning hackathon covering 30 countries, 200 universities and 2000...

InstaDeep attends Festival of Biologics San Diego...

on Mar 11, 2022 | 04:30pm

Following on from the successful Festival of Biologics Basel last November, InstaDeep presented its DeepChain protein design platform at the prestigious Festival of Biologics San...

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 | 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