Hosting a competition

DOXA AI helps enterprises, non-profits and research institutions engage with an international community of talented data scientists and machine learning enthusiasts tackling grand challenges in AI and building the future. 🚀

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Solve your most pressing AI challenges ⚡

DOXA AI competitions let you benefit from potentially thousands of community submissions to help you crowdsource solutions for your most pressing machine learning R&D challenges.

Artificial intelligence for

Sustainable development 🌱Cutting carbon emissions 🌍Weather forecasting 🌞Natural disaster prediction 🌊Agriculture 🌽Combatting deforestation 🌴Drug discovery 💊Sustainable cities 🚉Communities 👪Cooling data centres 🧊Novel materials 🚀Penguins 🐧Financial services 💹Manufacturing 🏭

Connect with a talented global AI community 🌍

If you're hiring, hosting an open data science challenge on our platform is a unique opportunity to engage with our best participants platform-wide and identify key talent from a diverse range of backgrounds and industries internationally.

Catalyse research, development & innovation in AI 💡

Running a competition on our platform is a direct way to develop community interest and expertise in solving grand challenges with positive real-world impact while contributing to advancing the cutting edge of AI and machine learning.

Advance the state of the art in

Classical ML 🔢Deep learning 😎Computer vision 👀Natural language processing 💬Time-series forecasting 📈Reinforcement learning 🎯Robotics 🤖

Styles of competition

We support multiple types of competition on the DOXA AI platform, but in all cases, we evaluate participants' work directly on the platform and show how they rank on a dynamic real-time competition scoreboard. 🏆

Prediction challenges

Participants compete to develop AI models and upload the predictions they generate for a test dataset to the platform for evaluation. The DOXA AI platform supports having competition-specific custom evaluation metrics. 📐

Code competitions

Participants develop the best AI models they can to solve the competition task and upload their code and trained models to the platform for evaluation. We support GPU-enabled evaluation environments. 🤖

Dataset-based tasks

Models are developed using publicly released training data and are securely evaluated on the platform with a private, unreleased test dataset. 📊

Single-agent tasks

Submissions are evaluated on the platform based on how they interact and perform in some simulated environment. 🎮

Multi-agent tournaments

Participants' agents interact and compete against each other, such as in two-player games, and are evaluated on how they perform. 🏏

Get in touch 😎

If you're interested in hosting a challenge on the DOXA AI platform, using our AI infrastructure services or finding out more about our work, definitely reach out to us!