AI systems that can be examined.
ARMIE AI Labs researches the foundations of useful AI: retrieval, evidence, memory and evaluation. We build bounded prototypes, make their assumptions visible and learn through measurement.
Research with a route to inspection.
We start with an explicit question, test in a controlled setting, then record what the work can and cannot support.
Frame the question ↗
Define the decision, evidence boundary, data constraints and failure modes before choosing a model or architecture.
02Build a bounded system ↗
Use modular prototypes to test a specific capability without implying product readiness or real-world performance.
03Evaluate and extend ↗
Use versioned evaluation and auditable traces to decide what should be strengthened, questioned or explored next.
One built platform. Two deliberate research directions.
The portfolio distinguishes completed engineering work from architecture and product exploration still being validated.
ARMIE Retrieval Platform ↗
A modular retrieval research and engineering platform with controlled synthetic benchmarks and versioned evaluation.
- Retrieval
- Evidence
- Evaluation
Memory & companion runtime ↗
Two architecture-led directions for traceable long-term memory and local-first, portable AI relationships.
- Architecture
- Privacy
- Lifecycle
Exploration and implementation, with distinct responsibilities.
Labs creates research artefacts and prototypes. Studio turns suitable insights into bounded, verifiable systems and practical implementation work.
ARMIE AI Labs
Research, prototypes and technical exploration. The goal is to make a claim testable, not to overstate its maturity.
About Labs ↗ARMIE AI Studio
A delivery practice for translating research into systems with clear scope, measurement, privacy and operational boundaries.
About Studio ↗