Insider Brief
- Hiverge, founded by former Google DeepMind researchers, raised $5M in seed funding led by Flying Fish Ventures with participation from Ahren Innovation Capital and Jeff Dean, to build its “algorithm factory” for discovering and deploying tailored, efficient algorithms at scale.
- Its platform, the Hive, uses program synthesis to automatically generate algorithms that adapt to complex business challenges — already demonstrating over 15% improvements in AI training benchmarks and faster industrial planning solutions for partners like Airbus.
- With founders Alhussein Fawzi, Bernardino Romera-Paredes, and Hamza Fawzi bringing deep expertise from DeepMind, AlphaFold, and Cambridge, Hiverge is pioneering algorithmic discovery as a new category, aiming to unlock “algorithmic superintelligence” for businesses.
PRESS RELEASE — Hiverge, a start-up launched by former Google DeepMind research leaders, has secured $5 million in seed funding for its ‘algorithm factory,’ aiming to solve a hidden yet critical business challenge: discovering and deploying algorithms that help organisations rapidly improve their operations at scale. Flying Fish Ventures led the round, with Ahren Innovation Capital and Jeff Dean among the other investors.
Going beyond human capabilities
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.
A new approach with multiple uses
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% 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 Hiverge user, 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.”
A founding team with deep scientific and subject expertise
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.
Alhussein 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.
About Hiverge
At Hiverge, we’ve reimagined algorithmic coding through program synthesis. Our platform, the Hive, combines AI creativity with rigorous testing to discover breakthrough algorithms that solve your toughest optimisation problems. Our founding team includes award-winning ex-Google DeepMind research scientists and professors in applied mathematics from the University of Cambridge.
For more information, visit hiverge.ai.
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