Process

Initial engagement

We begin with a pilot batch (typically 10–50 tasks) to align on research goals, target difficulty, and format specifications. Together with your team, we define schema requirements, calibration targets, and QA thresholds. The pilot allows us to validate clarity, correctness, and model pass rates before scaling to full production.

Exclusivity

We create lab-specific datasets under NDA with explicit IP assignment and optional time-bound or perpetual exclusivity. Content is never resold. Exclusivity is enforced through contributor contracts: all authors are senior engineers working under NDAs and work-for-hire/assignment agreements, so your team retains exclusive access per contract.

Multi-layered Quality Assurance Process

Comprehensive Automated Checks

Our internal systems automatically run and check to see if the problem passes all basic checks i.e. Problem description is fair for the agent / Fulfills the agent target pass ratio requirements.

Cohesive human evaluation loops

Every task undergoes multiple human reviews by senior engineers or ML specialists. They verify clarity, correctness, edge-case coverage, originality, and alignment with target difficulty. Revisions continue until both reviewers approve the task for final acceptance.