Cognitive Systems Lab
Thynaptic (lab) × Mavaia (system)
Cognitive infrastructure that does not abandon its users under emotional weight or ambiguity.
Thynaptic builds mechanism-first cognitive systems for enterprises and institutions. Mavaia is our production-ready adaptive cognition layer—local-first, evaluation-governed, and designed for regulated environments.
Zero-abandonment architecture · Evidence-first metrics · Institutional deployments only
What we build
Mechanism-first cognitive infrastructure
Cognitive infrastructure
Architectures that blend reasoning, memory, and governance so cognition behaves like owned infrastructure.
Safety as architecture
Guardrails baked into routing, memory, and output validation — not bolted on after deployment.
Sovereign operation
Local-first deployment paths where institutions keep data, telemetry, and control inside their boundary.
Evaluation discipline
Every metric ties to an evaluation note with protocol, sample size, limitations, and source artifacts.
Featured systems
Registry anchored by Mavaia
Systems span runtime, safety, and orchestration. All metrics tie back to evaluation notes with methods and limitations.
Mavaia
DeployableInstitutional cognitive runtime built on the Adaptive Cognition Layer.
Adaptive Cognition Layer
Beta10-stage pipeline that routes perception → memory → reasoning → safety.
FocusOS
PrototypeCognitive workspace orchestration for multi-session reasoning continuity.
Publications
Latest papers & reports
Evidence-first publication stream. Every numeric claim links to an evaluation note.
Evidence
Metrics with evaluation notes
No orphan metrics. Values below link to their evaluation notes with datasets, protocols, and limitations.
Partnering
Two pathways: research or deployment
Engagement policy is explicit: institutional deployments via Mavaia, research collaboration, and design partnerships. No generic licensing.
Deployment (Mavaia)
Institutional deployments with local or hybrid profiles. Evaluation-first process with governance review.
Start evaluationResearch collaboration
Mechanism-first programs with universities, labs, and institutes. Shared evaluations and traceability.
Propose collaborationDesign partnerships
Co-develop safety, governance, and integration patterns for regulated environments.
Join as partner