The Problem:Your R&D capacity is limited by headcount, budget, and recruitment cycles. Hiring top-tier PhD talent takes months, and internal teams often operate in silos, limited by their own biases.
The Solution: Crunch runs encrypted ML competitions on your specific predictive challenges. Thousands of global data scientists and researchers compete to build superior models. You get breakthrough performance and novel IP. They never see your raw data.
Seamless path from competition to deployment with enterprise-grade infrastructure
Access 10,000+ ML engineers and 1,200+ PhDs. Our network includes researchers from top institutes specializing in Causal Inference, Computer Vision, and Deep Learning, competing to solve your edge cases
Competitions designed by leading researchers from Stanford, Cornell, and Abu Dhabi Investment Authority Lab
Access models through simple APIs or deploy on-premise. Whether for batch processing or real-time inference, the Crunch Engine works with your existing infrastructure
TEE-based privacy (Trusted Execution Environments) ensures models run encrypted. Deploy in your cloud or on-premise with full data control. Your proprietary data never leaves your secure perimeter
From high-frequency pricing to real-time computer vision, our ensemble models are optimized for low-latency environments and high-throughput demands
Prof. Marcos Lopez de Prado
Prof. Guido Imbens
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 at ADIA
Modeling Uncertainly in Real Time: Lessons from the Falcon Engine
One of the largest research institutes in the US uses Crunch to enhance its computer vision algorithms
The research lab of the third-largest sovereign wealth fund uses Crunch to expand the scope of its internal research
Translate your business objective into a machine learning challenge on the Crunch Hub. Whether it's time-series forecasting, computer vision, or optimization.
Run from 3-month sprints to evergreen, never-ending competitions. Collect diverse solutions from elite researchers. Crunch handles the compute, GPUs, and leaderboard while your data remains obfuscated.
From day one of your Crunch competition, Crunch is orchestrating all the participants models behind a simple API.
Organizers can use Python to infer, retrain and test any model at any time. They can also deploy model containers in the cloud or on-premises to easily access the models.
Winners are always identified on out-of-sample or live data hold out . Sometime on a period as long as 6 months of live data such as for the ADIA Lab Market Prediction Competition . Crunch handles the payment of the reward, including complete KYC of all winners.
Deploy the selected model structure to production with institutional proof and ultra-low-latency infrastructure.
