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’s latest innovation, Nucleotide Transformer v3 (NTv3), is a single framework that unites these once-separate capabilities. NTv3 learns representations, predicts functional readouts, annotates genomes and designs new sequences across multiple species. By reasoning across one million nucleotides at single-base resolution, it gains access to the long-range regulatory logic that shapes genomic function, moving the field from simply reading genes to engineering them.

Modelling the Genome with NTv3...

on Feb 18, 2026 | 01:49pm

The genome is not a linear string of information, but a long-range, three-dimensional system in which regulatory signals act across large genomic distances to control gene express...

Celebrating multiple firsts at the premier international event for machine learning and computational neuroscience

NeurIPS 2025...

on Dec 16, 2025 | 01:52pm

The 39th Annual Conference on Neural Information Processing Systems (NeurIPS) was capped off by a series of firsts for the InstaDeep team, with researchers leading the way in exch...

MEMENTO: Memory-Enhanced Neural Solvers for Routing Problems...

on Nov 25, 2025 | 01:39pm

Combinatorial optimisation (CO) problems are among the hardest challenges in computer science, with real-world importance in logistics, transport, and energy systems. These proble...

Breaking the performance ceiling in Reinforcement Learning

Breaking the Performance Ceiling in Reinforcement Learning...

on Nov 18, 2025 | 01:50pm

Reinforcement learning (RL) has delivered some of AI’s most striking successes, from human-level Atari 1 play to world-class performance in Go2. Yet when applied to messy, real-...

Oryx InstaDeep’s scalable sequence model for multi-agent coordination in offline settings

Oryx: InstaDeep’s scalable sequence model for multi-agent coord...

on Nov 11, 2025 | 01:51pm

Multi-agent reinforcement learning (MARL) holds significant promise across domains such as autonomous driving, warehouse logistics, intelligent rail networks, and satellite alignm...

Genome annotation with SegmentNT

Genome annotation with SegmentNT...

on Oct 29, 2025 | 11:30am

Nucleotides are the fundamental units of DNA, and when linked together by a sugar-phosphate backbone, they form the strands that define our genome. Analysing the precise role o...

AI Day 2025 Powering biology with a full-stack AI ecosystem

AI Day 2025: Powering biology with a full-stack AI ecosystem...

on Oct 13, 2025 | 10:11am

BioNTech hosted its annual AI Day at the Science Museum in London, the second event in their Innovation Series. The day brought together investors, analysts, media representatives...

Introducing DEgym: A framework for developing Reinforcement Learning Environments for Dynamical Systems

Introducing DEgym: A framework for developing Reinforcement Learn...

on Sep 16, 2025 | 02:59pm

Reinforcement learning (RL) is increasingly being applied to complex processes across science and engineering, with promising results in manufacturing, biology, and energy systems...

Advancing AI with Bayesian Flow Networks

Advancing AI with Bayesian Flow Networks...

on Sep 04, 2025 | 11:57am

By Alex Graves The story of Bayesian Flow Networks (BFNs) took years to take shape. In 2010, I was working with autoregressive models and repeatedly ran into the same constr...

Hand in Hand for Africa’s AI Future - InstaDeep at Deep Learning Indaba 2025

Hand in Hand for Africa’s AI Future – InstaDeep at Deep L...

on Aug 29, 2025 | 12:57pm

Africa's AI community gathers annually for the Deep Learning Indaba to exchange ideas, learn, and dream big. As InstaDeep we have supported this journey from the start, both throu...

Research

Protein sequence modelling with Bayesian flow networks

Timothy Atkinson | Thomas D. Barrett | Scott Cameron | Bora Guloglu | Matthew Greenig | Charlie B. Tan | Louis Robinson | Alex Graves | Liviu Copoiu | Alexandre Laterre

Nature Communications (2025) Feb 2026
Figure shows the application of a Bayesian Flow Network (BFN) to protein-sequence modelling

Annotating the genome at single-nucleotide resolution with DNA foundation models

Bernardo P. de Almeida | Hugo Dalla-Torre | Guillaume Richard | Christopher Blum | Lorenz Hexemer | Maxence Gélard | Javier Mendoza-Revilla | Ziqi Tang | Frederikke I. Marin | David M. Emms | Priyanka Pandey | Stefan Laurent | Marie Lopez | Alexandre Laterre | Maren Lang | Uğur Şahin | Karim Beguir | Thomas Pierrot

Nature Methods (2025) Jan 2026
The SegmentNT neural network architecture consists of a pre-trained DNA encoder (here Nucleotide Transformer (NT) and a segmentation head (here a U-Net)

GeoGraph: Geometric and Graph-based Ensemble Descriptors for Intrinsically Disordered Proteins

Eoin Quinn | Marco Carobene | Jean Quentin | Sebastien Boyer | Miguel Arbesú | Oliver Bent

NeurIPS 2025 Workshops Dec 2025
GeoGraph, a simulation-informed surrogate trained to predict ensembleaveraged statistics of residue–residue contact-map topology directly from sequence

A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction

Sam Boshar | Benjamin Evans | Ziqi Tang | Armand Picard | Yanis Adel | Franziska K. Lorbeer | Chandana Rajesh | Tristan Karch | Shawn Sidbon | David Emms | Javier Mendoza-Revilla | Fatimah Al-Ani | Evan Seitz | Yair Schiff | Yohan Bornachot | Ariana Hernandez | Marie Lopez | Alexandre Laterre | Karim Beguir | Peter Koo | Volodymyr Kuleshov | Alexander Stark | Bernardo P. de Almeida | Thomas Pierrot

Dec 2025
NTv3 is InstaDeep’s new multi-species genomics foundation model, designed for 1 Mb, single-nucleotide-resolution prediction, and for bridging representation learning, sequence-to-function modelling, and generative regulatory design within a single framework.

Bayes-PD: Exploring a Sequence to Binding Bayesian Neural Network model trained on Phage Display data

Ilann Amiaud-Plachy | Michael Blank | Oliver Bent | Sebastien Boyer

NeurIPS 2025 workshop Dec 2025
Figure 2 shows the phage display Poisson model.

Assessing data size requirements for training generalizable sequence-based TCR specificity models via pan-allelic MHC-I point-mutation ligandome evaluation

Antoine Delaunay | Miles McGibbon | Bachir Djermani | Nikolai Gorbushin | Sergio Chaves García-Mascaraque | Isaac Rayment | Ilya Kizhvatov | Cécile Petit | Maren Lang | Karim Beguir | Ugur Sahin | Liviu Copoiu | Nicolas Lopez Carranza | AndreyTovchigrechko

Scientific Reports Dec 2025

In the Press

Partners