COMPETITIONS
We compete at the highest level possible across Europe, against industry professionals. Not for the prize money, but because we believe this is how elite engineers are made.
Energy Consumption Forecasting
Team Epoch secured 1st place at the ETH Zurich Datathon 2026 by developing a sophisticated ensemble model to forecast short-term energy consumption in Spain. Their solution outperformed the baseline by nearly 50%, resulting in an average reduction of…
Children’s Speech Recognition
Team Epoch placed 2nd in the On Top of Pasketti challenge, a global competition sponsored by the Bill & Melinda Gates Foundation to advance speech recognition for children. Current ASR systems are trained on adult voices and struggle…
Grass Biomass Predictions
Developing machine learning models for predicting pasture biomass to support sustainable livestock management. The CSIRO – Image2Biomass Prediction competition challenges participants to develop machine learning models capable of accurately predicting pasture biomass. The project addresses the existing difficulty…
PROJECTS
We don’t just study AI. We build with the people shaping it. With a network of 400+ AI companies, we work on projects that push real technical boundaries and make real impact.
AI-Driven Anti-Poaching
In collaboration with South African non-profit Strategic Protection of Threatened Species (SPOTS), Team Epoch is developing an AI tool to support rangers on the front lines of wildlife conservation. Over a 10-week sprint, the team is building a…
Virtuele Kamer (Virtual Government)
In partnership with two Dutch government ministries – BZK and VRO – Team Epoch built a proof-of-concept AI system that simulates the complex Dutch housing policy process. Using a network of specialized AI agents, the simulator helps policymakers…
Open Government Act
Optimising the Woo process by providing a clear overview of the requested documents About the project During this project, led by PhD candidate Max Muller and organised by I-Partnership of the Dutch Government and the National Archive, Team…
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