Research programs

Thynaptic research focuses on mechanism-first cognitive architectures. Each program represents a distinct contribution to artificial cognition: routing, memory, reasoning, and adaptive response.

ACL2025-08

Adaptive Cognition Layer

A modular cognitive pipeline that dynamically routes queries through perception, memory, reasoning, and synthesis components. The foundational architecture for all Thynaptic systems.

Key Contributions

  • 10-component sequential pipeline
  • Contextual Priority System for workspace ranking
  • Memory graph with DBSCAN clustering
  • Confidence-calibrated routing
MAVAIATR-2025-28

Mavaia

An adaptive reasoning model built on ACL. Integrates emotional memory encoding, multi-source verification, and predictive hallucination detection.

Key Contributions

  • Emotional salience encoding in memory
  • 94% hallucination identification rate
  • Hybrid local/cloud inference routing
  • Self-aware confidence metrics
ARTETR-2025-28

ARTE Engine

Adaptive Reactive Theme Engine. Structures personality adaptation through dynamic tone calibration and semantic conversation flow analysis.

Key Contributions

  • 12 personality archetypes
  • Real-time emotional state detection
  • Sass factor calibration
  • Conversation tempo analysis
FOCUSTR-2025-24

FocusOS

A cognitive workspace orchestration system. Manages focus sessions, memory persistence, and session continuity for extended reasoning tasks.

Key Contributions

  • Focus-first workspace design
  • Session state persistence
  • Multi-context routing
  • Predictive cognitive interventions
SAFETYTR-2025-08

Safety & Evaluation

Frameworks for hallucination detection, fact verification, and confidence calibration. Ensures reliable operation across all cognitive systems.

Key Contributions

  • Recall-based fact verification
  • Workspace knowledge claim validation
  • 0.73 confidence-accuracy correlation
  • Graceful degradation protocols

Public roadmap

Now / Next / Later

NOW

  • Payload governance hooks for Evaluation Notes
  • FlexSearch indexing for systems + docs
  • Research dispatch cadence (weekly)

NEXT

  • Draft preview + reviewer workflow across CMS
  • Institutional deployment playbook publication
  • Updates feed automation (RSS/JSON)

LATER

  • Interactive architecture diagrams
  • Semantic retrieval layer for docs
  • Public careers page once roles open

How we publish

Cadence, artifacts, discipline

  • Cadence: Weekly research dispatches, monthly technical reports, quarterly system cards. Every artifact links back to the CMS for provenance.
  • Report types: System Cards (deployment ready), Framework Reports (architecture), Whitepapers (mechanism deep dive), Research Briefs (evaluation updates).
  • Evaluation discipline: No metric is published without an Evaluation Note, reviewer sign-off, and limitations. Governance rules are enforced in Payload.