Transforming the algorithms the world runs on.
Our enterprise-ready platform orchestrates thousands of AI research agents to discover new computational approaches to solve your highest-value challenges.
Designed for the demands of real work
FRICTIONLESS DEPLOYMENT
Automatically provision and scale configurable sandboxes, on your own infrastructure or in the cloud, with your choice of AI models.
SAFE BY DESIGN
The Hive produces interpretable code, enables you to own changes and is designed for enterprise security requirements.
GUIDED BY YOU
Visualise the work of agent swarms, track key performance metrics, and steer the discovery process towards your objectives.
OUTPERFORMS FOR LESS
The Hive finds solutions that outperform existing approaches while using compute more efficiently, maximising the return on your budget.
Trusted by
The team that pioneered algorithmic discovery
Founded by world-class researchers from Google DeepMind and University of Cambridge. They pioneered the methodology for automated algorithm discovery powering breakthroughs such as AlphaTensor and AlphaEvolve.
Former ML research scientist at Google DeepMind, founded the Algorithmic Discovery team. Co-inventor of AlphaTensor and FunSearch. PhD from EPFL.
Former ML research scientist at Google DeepMind, part of Nobel-prize winning AlphaFold. PhD from UCL.
News
Announcing Hive integration with NVIDIA, Quantinuum, and AWS
Long-horizon planning for Airbus Beluga aircraft
Achieving AI training world record with the Hive
The discovery process
The Hive discovers the optimal algorithm for your problem and presents it in code you can read, understand, and deploy.
DEFINE
Start with your baseline algorithm and define the problem: provide your code, evaluation metrics, and target compute environment and constraints. With one click, the Hive takes over.
FETCH
The Hive samples from a vast space of prior solutions and patterns to identify code changes that are most likely to improve performance.
GENERATE
A swarm of AI agents propose code mutations: unique and diverse variations of the original algorithm that produce a rich pool of new candidate algorithms. AI agents share results and recombine ideas in a powerful feedback loop to iteratively improve performance.
EVALUATE
Each candidate algorithm is tested in its own sandbox and scored against your metrics. The highest-performing variants are selected and fed back into the next generation cycle.
CONVERGE
In a matter of hours, the Hive converges on the optimal algorithm for your problem and delivers it as readable, production-ready code.
Join our growing team
We’re actively looking for talented people to be part of our team. If you’re passionate about AI and eager to shape transformative technologies, we’d love to hear from you.
