Elora Capabilities
A structured guide to the research, learning, evidence, runtime, security, and governance systems that now make up Elora Engine.
A structured guide to the research, learning, evidence, runtime, security, and governance systems that now make up Elora Engine.
These capabilities explain how Elora authorizes outcomes and makes operational reasoning reviewable.
Bounded decision histories that group lifecycle events, concerns, authority, evidence, and outcomes into one reviewable narrative.
The Inference Governor and resource-governance layers that observe, reason, recommend, govern, and explain bounded runtime interventions.
Proposal-to-commit authorization, admissibility, policy context, identity, provenance, and deterministic replay.
Evidence-rich AI behaviour research across bounded runs, interventions, semantic observations, runtime conditions, and durable reports.
ERIS runtime intelligence, EBLS behaviour learning, NNLSL language learning, supervised teaching, and Model Wiki evidence.
Language-neutral deterministic Engine boundaries, versioned contracts, canonical behaviour, and cross-language conformance research.
Live bounded detection, evidence-backed findings, governed Cases, Case Reports, decision bridging, and assurance evidence.
Environment-qualified evidence separating model adherence, Elora interception, no-escape performance, and escaped outcomes.
Learning, observation, threat interpretation, runtime intelligence, and decision presentation can contribute evidence. Consequence-bearing authority remains at the governed commit boundary.