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Crunch Lab Raises $5M to Build the Intelligence Layer for Decentralized AI

The AI industry has a talent problem. Building world-class predictive models traditionally requires assembling elite teams, a process that costs upwards of $100 million and takes years. But what if you could tap into the collective intelligence of 10,000+ machine learning engineers instead?

Today, we're announcing that Crunch Lab has raised $5 million in a strategic funding round co-led by Galaxy Ventures and Road Capital, with participation from VanEck and Multicoin Capital. This brings our total funding to $10 million and validates a fundamentally different approach to AI: one that's decentralized, meritocratic, and already delivering measurable results in production.

Why This Matters

The demand for high-quality predictions spans from finance to healthcare to energy. Yet the traditional model of building in-house AI teams faces critical bottlenecks:

  • Hiring constraints – Competition for top ML talent is fierce and expensive
  • Siloed thinking – Even the best teams can miss solutions that lie outside their approach
  • Scalability limits – Growing prediction capabilities means growing headcount linearly

To tackle these, we've built a decentralized network that gives enterprises secure access to all of it through structured modeling challenges called Crunches.

Proven in Production

Our crowdsourced approach is driving real breakthroughs for world-class institutions:

  • ADIA Lab – 17% improvement in cross-sectional asset pricing predictions
  • Broad Institute of MIT and Harvard – Breakthrough results in cancer gene research using computer vision
  • Global Investment Banks – Live deployment of Mid+One™, our crowdsourced mid-market pricing engine

When you transform enterprise problems into encrypted modeling challenges and let thousands of practitioners compete, you uncover solutions even the best internal teams miss.

The Collective Intelligence Advantage

The power of CrunchDAO lies in three core principles:

  • Diversity Beats Homogeneity – While single teams often get stuck in particular approaches, our network of independent participants brings multiple perspectives to every problem. Individual limitations offset each other, revealing solutions no single methodology would find.
  • Dynamic Adaptation – Our decentralized network continuously evolves. When prediction errors occur, different participants independently work to find better approaches resulting in creating a system that naturally adapts and improves without asking permission.
  • Meritocratic Performance – Contributors compete purely on results. Rewards flow to those who deliver the best models, ensuring continuous improvement and maintaining motivation across the network.

Strategic Backing for the Next Phase

Our investors understand that Crunch is the  infrastructure for a new paradigm:

What's Next

This funding accelerates our mission on multiple fronts:

  • Platform – Enhancing our protocol infrastructure, security features, and developer tools.
  • Industry Expansion – Moving beyond finance and biomedical research into energy, logistics, retail, and more
  • Ecosystem Growth – Building out partnerships and integrations as evidenced by our selection for the Solana Incubator's second cohort

The Protocol That Powers It All

At the heart of Crunch Lab is CrunchDAO, our decentralized protocol. It connects over 10,000 data scientists and AI engineers worldwide, including 1,200+ PhDs, through structured challenges that consistently outperform traditional in-house approaches.

The protocol handles everything from secure model submission to privacy-preserving data transformation to automated reward distribution while protecting both contributor IP and enterprise data. It's infrastructure designed for collective intelligence at scale.

Join the Revolution

The era of hiring bottlenecks and siloed AI teams is ending. The future belongs to collective networks that can harness global talent, adapt continuously, and deliver results that single teams simply cannot match.

As our CEO Jean Herelle puts it: "When thousands of practitioners compete, you uncover solutions even the best internal teams miss."

We're building the intelligence layer for the next generation of enterprise AI. And we're just getting started.