Hiverge clinches $5m to build ‘algorithm factory’

17 Sep, 2025
Tony Quested
Cambridge startup Hiverge, launched by former Google DeepMind research leaders, has clinched $5 million seed funding to accelerate a pathfinding ‘algorithm factory’.
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The Hiverge team at their Station Road, Cambridge offices. Courtesy – Hiverge.

It has been envisioned to solve a hidden yet critical business challenge: discovering and deploying algorithms that help organisations rapidly improve their operations at scale.

Big name investors were buzzing around the company's Hive platform. Flying Fish Ventures in Seattle led the seed funding round, with Ahren Innovation Capital and Google DeepMind chief scientist Dr Jeff Dean among the other backers.

Hiverge, whose registered office is in Station Road, has reimagined algorithmic coding through program synthesis. Hive combines AI creativity with rigorous testing, designed to discover breakthrough algorithms that solve the toughest optimisation headaches. The founding team not only includes award-winning ex-Google DeepMind research scientists but also professors in applied mathematics from the University of Cambridge.

Algorithms do not just dictate what appears in search results or social media feeds; businesses across industries, from retail to cloud infrastructure, rely on them for a huge number of critical operations.

Yet current algorithms fall short of today’s requirements. Systems are growing in complexity with businesses needing to make accurate decisions in milliseconds, while existing computational resources remain constrained.

Designing tailored algorithms to meet specific use cases is both expensive and requires rarely available expertise, forcing most companies to rely on one-size-fits-all solutions. The result is that businesses are rapidly approaching the limits of what traditional, human-led approaches can deliver, curtailing growth and putting efficiency gains out of reach.

Hiverge aims to solve these problems by giving businesses access to tailored and efficient algorithms that continually adapt to changing environments.

Unlike traditional software engineering and trends such as vibe coding, which build front-end applications and websites, Hiverge’s technology uses program synthesis to create an algorithm factory: automatically writing and optimising code tailored specifically to each user’s unique challenge at scale.

This AI discovery engine is at the forefront of a new category of algorithmic discovery that originated within Google DeepMind. Hiverge’s founders led the team that spearheaded this groundbreaking category with AlphaTensor and FunSearch. They also worked on the early stages of Google’s AlphaEvolve agent, a project that improved the efficiency of Google's data centres, chip design and AI training processes.

Hiverge’s platform, the Hive, has multiple uses, from accelerating AI training to helping businesses plan how they allocate resources. For example, The Hive discovered fast and resource-efficient training algorithms improving over existing human-engineered approaches by more than 15 per cent on well-established AI benchmarks.

Additionally, on an industrial planning problem posed by Airbus, the Hive discovered sophisticated long-term planning algorithms that run several orders of magnitude faster than existing classical planners.

Konstantinos Meichanetzidis, head of product development and AI strategy at Quantinuum, the world’s largest integrated quantum computing company, and a user of the Hive, said: “Our quantum research demands highly specialised algorithmic approaches. We're excited to be collaborating with Hiverge and using its platform to discover novel quantum algorithms. We see strong potential for this partnership to accelerate the scientific breakthroughs we're pursuing.”

Hiverge’s founders include CEO Alhussein Fawzi, a former Google DeepMind research scientist and MIT Innovators Under 35 award winner, CTO Bernardino Romera-Paredes, also a former Google DeepMind research scientist and part of the Nobel prize-winning AlphaFold team, and chief science officer Hamza Fawzi, a professor in the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge and a specialist in mathematical optimisation.

Fawzi said: “Algorithms drive the revenue of most businesses today – from finance to AI inference. But algorithms of today are struggling to keep up with challenges of scale and speed, and traditional methods aren’t working anymore.

“At Hiverge, we are creating algorithmic superintelligence, giving companies the ability to discover and deploy not just new algorithms, but ones that are tailored to their specific tasks. With Hiverge, companies will be able to unlock algorithms that are beyond the limits of current approaches.”

Frank Chang, Managing Partner at Flying Fish Ventures, said: “It usually takes us some time to get conviction to invest, yet with the Hiverge team we knew immediately we needed to back the company’s vision.

“Hiverge is delivering everything we look for in a company: a highly experienced founding team with deep technical expertise in their field; a genuinely innovative solution to a major market issue; and a unique deployment of powerful technology to enable it all. This is a completely new category that will redefine how algorithms are deployed by businesses.”

The funding will be used to accelerate go-to-market, expand research capabilities and support product development. Businesses looking to access new ways to improve their operations can join Hiverge’s early-access waitlist.