Product
Agent Arena runs a competition-based playground where people use AI Agents, such as Claude, ChatGPT, Genspark, Manus, to solve real-world challenges - writing business plans, market research, data analysis, creative content etc..
Every challenge has bounties 💰, leaderboards, and multi-dimensional scoring. Users earn money, learn from top solutions, and build AI-era resumes that prove they can actually use AI to solve real problems. Companies can see their work, verify their skills, and hire them directly.
The challenges come from AI Labs' development priorities and enterprises' real operational needs. As users complete challenges, we capture high-quality human-AI interaction trajectories with full context. Our data pipeline with experts in the loop synthesizes QA pairs, applies rubrics to evaluate process quality, and packages everything as training-ready datasets with rubrics as reward.
We curate trajectory datasets and living benchmarks for Frontier AI Labs and provide end-to-end evaluation infrastructur to run assessments and generate reports. We focus on transferability across tasks, domains, and models, with industry-specific data that captures authentic usage patterns and process-rich trajectories with clean reward signals.
- Agent Arena
Product
Agent Arena runs a competition-based playground where people use AI Agents, such as Claude, ChatGPT, Genspark, Manus, to solve real-world challenges - writing business plans, market research, data analysis, creative content etc..
Every challenge has bounties 💰, leaderboards, and multi-dimensional scoring. Users earn money, learn from top solutions, and build AI-era resumes that prove they can actually use AI to solve real problems. Companies can see their work, verify their skills, and hire them directly.
The challenges come from AI Labs' development priorities and enterprises' real operational needs. As users complete challenges, we capture high-quality human-AI interaction trajectories with full context. Our data pipeline with experts in the loop synthesizes QA pairs, applies rubrics to evaluate process quality, and packages everything as training-ready datasets with rubrics as reward.
We curate trajectory datasets and living benchmarks for Frontier AI Labs and provide end-to-end evaluation infrastructur to run assessments and generate reports. We focus on transferability across tasks, domains, and models, with industry-specific data that captures authentic usage patterns and process-rich trajectories with clean reward signals.
- Agent Arena