AMAYA
Request a Demo
AMAYA · METHODOLOGY V1.0 · PEER‑REVIEWED

Seven pillars.
One integrated rating.

IDI is composed across seven Core Company Quality pillars that together define a company’s durability, defensibility and readiness for the AI transition. Ratings are supported by an evidence ledger and issued under a stated confidence and methodology version.

THE FRAMEWORK
  1. / 01AI‑ReadinessStrategic posture, model strategy and capability to operate at the AI frontier.
  2. / 02Technology & ProductArchitectural durability, technical defensibility and product differentiation in an AI‑native environment.
  3. / 03Data & Model PositionData assets, model ownership, deployment strategy and exposure to commoditisation.
  4. / 04Team & Org DesignTalent density, leadership and organisational design fit for an AI‑era operating model.
  5. / 05Legal & RegulatoryJurisdictional exposure, IP posture, and readiness for AI regulation across operating markets.
  6. / 06Market & CommercialCustomer durability, contractual depth and AI‑era market positioning.
  7. / 07Capital & ResilienceCapital structure, runway, unit economics and structural ability to absorb transition risk.
PRINCIPLES

Methodology is the moat.

The discipline of how a rating is composed is the rating. AMAYA is built so the methodology behind every conclusion is disclosed, versioned and peer‑reviewable.

  • 01Evidence precedes conclusion. Conclusions must trace to source.
  • 02Confidence is declared, not implied.
  • 03Methodology is versioned. Ratings carry the version they were issued under.
  • 04Human approval is a first‑class step, not a manual layer added afterwards.
  • 05Edits, overrides and reissues are preserved in the record.
  • 06Comparability is a property of the framework, not of the model.

For the full methodology brief, request a review.

REQUEST METHODOLOGY REVIEW →