The future is AI-centric. As AI reshapes every industry, one of the biggest challenges is knowing which models to trust and which models truly perform. Current evaluation systems are breaking down under data contamination, selective reporting, and biased benchmarks. To ensure real progress (not just hype), we need a validation framework as rigorous as human exams and as transparent as financial audits.

We need a cheat-proof evaluation system that uses sealed execution, rolling item banks, and delayed transparency to ensure fairness and credibility in AI benchmarking. Our mission: to bring integrity back to AI evaluation and lay the foundation for a truly trustworthy, innovation-driven future.

Forest AI

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