When Harvard and myth use your platform for breakthroughs in cancer research, it is a sign that you are doing something really well. Crunch Lab, the main creator standing behind Crunchdao, is just proving that decentralized AI is more than just another buzzword in the world of blockchain and generative AI.
Another USD 5 million for the development of decentralized AI from Crunch Lab
The company has just closed the strategic funding round worth USD 5 million, which increases total capital to USD 10 million. Investors? These are not accidental players – the round co -hosted Galaxy Ventures and Road Capital, with the participation of Vaneck and Multicoin. The transaction took place in June, and its purpose is to build an institutional “layer of intelligence” for decentralized AI.
The concept is temptingly simple and at the same time revolutionary: Crunch Lab transforms the prognostic challenges of enterprises into encrypted modeling competitions, rewarding participants creating the most precise predictive models. Sounds complicated? A specific number of devas is working on its predictive models (something a’la chatgpt on steroids), and the best scoopes the prize.
When thousands of practitioners compete with each other, you discover solutions that escape even the best internal teams (…) Instead of competing for rare talents, we give enterprises safe access to all of them through a decentralized network
– explains Jean Herelle, co -founder and CEO of Crunch Lab.
Blockchain as a foundation for global intelligence
The Crunch Lab approach uses blockchain based initiatives to “decentralize” the process of building a decentralized AI. Data scientists can compete anonymously, while maintaining data privacy – an elegant combination of open cooperation and security.
Will Nuelle, a managing partner at Galaxy, sees the potential for “a layer of intelligence for global enterprises”. “Is it anticipating assets prices, optimization of energy demand, or advanced medical diagnostics – Crowdsourcing Crunchdao models unlock smarter and faster decision making,” he adds.
Fresh funds are to serve expansion beyond finances and biomedical research – why do you limit yourself?
From theory to practice: the breakthroughs that count
It gets really interesting here. The Crowdsourcing AI Crunch Lab solution already provides specific results for leading global institutions.
Broad Institute Mit and Harvard used their Computer Vision technology for groundbreaking results in research on cancer gene therapy.
The Crunch network is already used in real research (…) Eric and Wendy Schmidt Center has used it to train better Computer Vision to detect cancer from cell images
– confirms Herelle.
This is not the end of academic successes. The Nobel Prize winner in the field of economics, Guido Imbens, used the Crunch Lab platform to build one of the first algorithms capable of discovering causal relationships between economic variables. Nobel laureates usually do not test random startups.
When Abu Dhabi Investment Authority says “wow”
But maybe the most meaningful are the numbers from Adia Research Lab – research arm of Abu Dhabi Investment Authority, managing over a trillion USD. The platform provided them with “two -digit improvements in accuracy” in forecasting. When one of the largest property funds in the world sees real value, the market listens.
To make matters of good, Crunchdao was elected to the second cohort Solana Incubator at the beginning of 2025, which is another confirmation of the growing position of the project in the blockchain ecosystem.
Decentralized AI – not hype, but the solution
Crunch Lab shows that decentralized artificial intelligence is not only a theoretical vision of the future. It is a working solution that helps in the fight against cancer today, optimizes investment strategies for the BLN USD management funds and supports Nobel Prize winners in their research. In a world where access to the best AI talents is limited and expensive, Crunch Lab offers something better: access to the collective intelligence of thousands of specialists, protected by blockchain and motivated by competition. And as the results show – it works.
Will the future of decentralized artificial intelligence look like? Very likely, because the demand for such solutions will only be systematically growing. They are especially needed in the Bio-Tech industry, which develops at a pace of no less than generative artificial intelligence. The future of science is therefore painted in beautiful and optimistic colors. May it actually be.
