Research foundation - Project ATLAS
Frontier AI & World Models
Project ATLAS established the technical vocabulary this programme now depends on: how frontier models behave, how world models reason about sequential systems, and how evaluation should be structured before commercial claims are made.
Frontier AI
Capability boundaries and deployment constraints of current model families.
World Models
Latent simulation of sequential systems and their uncertainty.
Financial forecasting
Benchmark design, out-of-sample testing and regime behaviour.
Autonomous systems
Agentic operation, monitoring and controlled failure modes.
Evaluation frameworks
Acceptance criteria that survive commercial scrutiny.
ATLAS / reference
How ATLAS informs D2
- D2 inherits ATLAS evaluation logic: performance claims require held-out data, benchmark comparison and calibration review.
- ATLAS produced the case for licensing rather than building from first principles.
- ATLAS defined the operational risk surface the security and compute workstreams now address.