Who we are

QuantiraX Lab is an applied research lab studying how artificial intelligence can modernize decision-making in real-world business contexts. Our work asks: how do we express policies and domain knowledge as clear, explainable rules; how do those rules interact with people, processes, and constraints; and how do we evaluate decision quality in ways that are transparent and fair. We publish methods and reasoning—not sales pitches—and we keep our approach technology-agnostic so future projects can take different paths as the field evolves.

What we study

Capturing business intent as explainable, auditable decision logic

  • Evaluation frameworks for accuracy, transparency, and accountability

  • Patterns for human oversight and governance in AI-assisted decisions

  • Ways to incorporate organizational constraints (privacy, compliance, cost) without prescribing stacks

  • Interoperability and documentation practices that make decision logic reusable

How we share

We release papers, notes, and reference materials and welcome collaboration with academic, public-interest, and industry research teams. Individual projects (like COF) illustrate the ideas, but the lab’s focus is the research itself—how AI can responsibly support decision-making in the real world.