AI systems that enhance individual human intelligence.

Not organizational overhead. Not process automation. Direct augmentation of human capability.

The best AI disappears into the hands of individuals. Not locked behind enterprise contracts. Not buried in organizational workflows. Powerful tools that serve the person using them—not the institution licensing them.

01 Research Tracks

Quantitative Options Trading Research

Active

Research question: Can markets serve as world-models? 10 years of options data. Testing whether foundation models capture volatility dynamics better than classical approaches. We trade on what we build—trading operations fund research.

  • New training paradigms
  • Experimentation to find what works
  • Lean infrastructure, aggressive iteration

Individual-First AI

Exploratory

What happens when AI optimizes for the individual, not the institution? Cursor serves programmers—what serves researchers managing fragmented context, or executives whose days fracture across tools? We've built internal systems that work for us. Now testing what generalizes.

  • AI that adapts to individuals, not vice versa
  • Direct capability augmentation
  • Proven internally, exploring externally

02 Approach

We build AI that adapts to people—not systems that require people to adapt to AI.

Individuals over institutions

Enterprise AI optimizes for organizational metrics. We optimize for individual capability. The person using the tool should be the one it serves.

Accessible power

Serious capability shouldn't require enterprise contracts. We're building for the inflection point where powerful AI serves individuals directly.

Research-driven

We're not wrapping APIs. We train models, run experiments, and build infrastructure from first principles.

03 Team

Geva Patz

Co-founder
  • A decade in automated options trading
  • Lean operations competitive against institutional scale
  • Adjunct professor — ML/data science

Javair Ratliff

Co-founder
  • Production ML inference at scale on lean infrastructure
  • Open-sourced representation engineering (abliteration)
  • AR/VR interactive systems

Background

Different domains, same proof point: individual leverage beats institutional scale.

Collaborators since 2016. Self-funded. Now scaling.

04 Contact

contact@emergenceproject.ai

We'd like to hear from you.