Crunch Lab is a decentralized AI research network running on Solana and linking more than 9.000 data scientists. It is used by groups including the Broad Institute and ADIA Lab, drawing attention from clinicians, time series analysts, crypto funders and node hosts. Open contests, real-world genomics and econometrics projects, and recent funding signal growing adoption.
The group has built a research network on Solana that connects more than 9.000 data scientists. The Broad Institute besides ADIA Lab work with it, and clinicians, time series analysts, crypto funders and node hosts all pay attention.
The site hosts machine learning contests open to any “cruncher”. Solana supplies fast, cheap settlement. With the Broad Institute, models search genomes for early cancer markers. With ADIA Lab, models flag sudden shifts in economic data. A no code query front end lets non programmers run numbers.
Multicoin Capital led a $3.5 million seed round, taking total funds to $5.3 million, and the project entered the Solana Incubator.
“Today’s AI is limited by hiring bottlenecks, isolated teams, and an inability to scale effectively,” said Jean Herelle, CEO of Crunch Lab and CrunchDAO. “we offer companies secure access to everything through a decentralized network”, finished.
Details of the Crunch Lab launch
Open models and a simple interface let non-ML scientists run analyses, expanding access beyond specialist teams. Solana keeps fees low and block times short, so large experiments fit the budget and can run quickly.
A scattered contributor list hides who did what, making quality checks and reproducible pipelines mandatory. Trials for cancer biomarkers and alarms for market breaks give the network high value tests, yet outside labs must replicate the outputs.
The network mixes a distributed workforce, venture money or Solana code to grow applied research. Jina notes live projects in oncology and econometrics; the next task is to supply audits and governance as deployments spread.
