Discovery first, verification after. Expand the space without letting discovery certify its own findings.
Core technology
Reusable reasoning engines, data boundaries and controlled-evolution components used to engineer private AI systems.
No single engine is responsible for every cognitive task. Discovery, adversarial design, verification, physical coordination and controlled evolution remain separate so each function can be tested, governed and replaced independently.
Separate engines for separate responsibilities.
IRIS
A multi-agent deliberation engine separating proposal, challenge, comparison and synthesis for problems where a single reading is insufficient.
CASANDRA
A divergent discovery engine for expanding sources, candidates, relationships and hypotheses with provenance and explicit limits before verification.
METIS
An adversarial design engine that generates materially different alternatives, exposes assumptions and formulates tests capable of discrimination or refutation.
CERBERUS
A deterministic, reproducible reasoning engine that requires evidence, identifies contradictions and keeps missing information missing.
ARGOS
Ambient intelligence engine for systems that need to understand a physical environment, reason over context and coordinate authorized actions.
PROMETHEUS
Controlled-evolution engine that turns operational evidence into an isolated successor candidate, compares it with the current version and requires human promotion.
Composition without loss of responsibility.
Generate materially different alternatives, design discriminating tests and then verify what the evidence supports.
Understand the physical environment, then verify critical interpretations before coordinating effects.
Build a successor candidate, attack the design, verify the evidence and leave promotion to a human.
Reasoning requires a controlled data boundary.
Varexis
A data boundary for enterprise AI systems: detection, minimization, transformation, residual scanning, permission control and verifiable evidence before external providers.
Data Shield
An open-source component for detecting and replacing sensitive information before external models, preserving enough structure for downstream processing without exposing the original value.
Public code where auditability benefits from openness.
OrvixLabs distinguishes open-source software from public documentation and merely visible repositories. Open Technology lists only components whose licensing and scope allow third-party use, audit and extension.