Our team will review your submission and reach out within 48 hours to discuss how Crunch’s research community can tackle your challenge.
Harness the power of
AI Researchers
PhDs
ML Models trained
AI Tasks Completed
Bridging the Gap
to AI in Production
Organizations are eager to harness AI but often run into challenges aligning on a strategy, time-consuming model development, and teams struggling to keep pace. Without the right expertise and infrastructure, progress stalls. Crunch helps close that gap — at scale.
Accelerate AI Model Design and Build
Instead of one team working in sequence, more than 12,000 data scientists design, train, and test solutions in parallel. The strongest models beat what you can build in-house, and your data stays private throughout: fully obfuscated or run inside a trusted execution environment where researchers never see it.
performance improvement vs ADIA Lab Causality Research benchmark
improvement vs Broad Institute of Harvard and MIT computer vision benchmark
trading cost savings at major bank (FX OTC)
Real-world outcomes powered by Crunch
How ADIA Lab partnered with Crunch to crowdsource novel algorithms that detect "Structural Breaks"—invisible changes in market rules—achieving double-digit accuracy improvements.
Broad Institute of Harvard and MIT: Predicting biomarkers for autoimmune disease from standard pathology images.
Tier-1 Global Bank: Crowdsourced machine learning models for ultra-low latency FX pricing and inventory optimization.
“Crowdsourcing has a very important role to play in investing. Firms turn investing problems into forecasting problems, then outsource to global researchers.”
Prof. Marcos Lopez de Prado
Global Head of Quantitative R&D Adia Lab
“I'm very excited to see what the participants are going to come up with, because if they come up with useful things, that's going to be very impactful.”
Prof. Guido Imbens
2021 Nobel Prize in Economics Laureate
“Institutional finance hasn’t yet had disruption, but likely will; specifically with respect to the competition for research talent in the years to come.”
Peter Cotton
Co-Founder and Chief Scientific Officer Crunch Lab
Crunch connects you with 12,000+ AI engineers and 1,200+ PhDs who build solutions to your real-world problems. You bring the challenge and the data; they develop and test models against it, and you get one that beats your in-house benchmark, deployed on your own cloud with your data kept private throughout.
We specialize in hard predictive and quantitative ML problems: forecasting, classification, anomaly detection, causal discovery, market regime detection, low-latency pricing, and more, across finance, healthcare, and logistics. If a problem can be measured against a clear target, our network can compete to solve it for your specific use case and domain.
Absolutely. We work closely with you to align the challenge with your business objectives and the metrics that matter. Your proprietary data stays protected throughout: it is fully obfuscated or kept inside a trusted execution environment, so the data scientists competing never see the raw data, and you never see their code.
We're built for speed. In most cases we can open your challenge within days and have production-ready models in weeks, because thousands of data scientists work in parallel instead of one team working in sequence. Submissions hit the leaderboard almost immediately, so you watch performance climb in real time.
We agree on the evaluation metric and target up front, usually benchmarked against your current best model. Every submission is scored automatically on held-out data you control, so the leaderboard reflects real out-of-sample performance rather than overfitting. Only models that clear the bar you set move forward.
We partner closely with you to define the problem, then carry the rest: thousands of data scientists do the work while we handle infrastructure, scoring, and payouts. At hand-off you receive the winning models along with documentation of the approaches, so your team understands the methods behind the results and can build on them.
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