We map under-utilized human cognitive primitives, train people to use them, and turn them into AI benchmarks.
AI scaling has hit diminishing returns. The bottleneck is not computational—it is cognitive.
Current AI optimizes within a narrow, century-old framework. Spearman's g from 1904 captures only 40-50% of cognitive variance.
Easy things for humans are hard for AI—perception, common sense, contextual judgment. Current approaches ignore this fundamental gap.
75% of employees fear AI will eliminate jobs (EY 2024). People resist tools that replace them—but embrace tools that upgrade them.
Most AI training data is "result-oriented"—final outputs only. How thought is formed, reasoning traces, decision branches are missing.
"The 2010s were the age of scaling. Now we're back in the age of wonder and discovery." — Ilya Sutskever, OpenAI Co-founder
"Human-AI complementarity outperforms either alone." — Erik Brynjolfsson, MIT. Bengio, LeCun, Marcus all argue AI needs cognitive grounding.
A bidirectional co-evolution cycle that advances both human and artificial intelligence.
As AI masters Level N, we discover the next cognitive frontier and upskill humans to Level N+1. Continuous co-evolution.
"We move from g (general intelligence) to c (complementary intelligence)—the cognitive dimensions where humans maintain a qualitative edge."
Whether you're developing AI or deploying it in your workforce, we have solutions for you.
Build Centaur Teams
Benchmark with Us
"Human + AI + better process beats a strong AI alone."
— Adopted from Garry KasparovWe don't replace humans. We create Centaurs—human-AI teams that outperform either alone.
"We solve Moravec's Paradox by starting with biology, not code."
— Filiciti LabsEasy things for humans are hard for AI. We map the cognitive architecture first, then build the technology.
Whether you're building AI or building with AI, we're ready to partner.