Individual Use Cases

From student exploration to premium research, SITANO Fusion progressively exposes only the metrics that help the user act without drowning them in unused diagnostics.

Student / Learner

Understand fusion, uncertainty and evidence quality on small datasets.

  • Level: Public Discovery / Cloud Starter
  • Accessible: fused value, uncertainty, quality and compact ECV
  • Hidden: sector gates, connector packs and regulated reports

Researcher / Scientist

Explore repeatability, drift, calibration basis and publication-ready evidence.

  • Level: Professional / Partner
  • Accessible: indicative uncertainty, calibration profile, consensus, drift and derived-event evidence
  • Hidden: industrial fleet supervision unless upgraded

AI / MLOps Individual Expert

Quarantine weak image, audio, text or multimodal datasets before training.

  • Level: Professional / Industrial
  • Accessible: AI Dataset Quality, readiness, provenance and Evidence Context exports
  • Hidden: safety-critical gates if not institutionally required

Institutional & Regulated Use Cases

Institutional users get wider metric access because they need governance, traceability, sector packs, devices and audit-grade reports.

Defense & Functional Safety

No-autonomy gate, fallback and operational safety review.

  • Pack: defense
  • Accessible: beta, kappa, theta, psi_system_health, event_confidence, false_alarm_risk
  • Decision: Go / Degraded / Block autonomous action

Medical Support Evidence

Clinical-support evidence without pretending to replace medical diagnosis.

  • Pack: medical
  • Accessible: uncertainty status, event confidence, false-alarm risk, chi, q_ia, xi
  • Decision: Clinical support evidence, not standalone diagnosis

Nuclear Safety Monitoring

Conservative weak-alarm retention and redundancy-driven escalation.

  • Pack: nuclear
  • Accessible: uncertainty_expanded, ageing_indicator, gamma, beta, kappa, psi_system_health
  • Decision: Safety conservative mode

Aerospace & 6DoF Navigation

Temporal alignment, frame consistency and fallback readiness.

  • Pack: aerospace
  • Accessible: temporal_skew, temporal_skew_risk, condition_number, theta, kappa
  • Decision: Flight-critical evidence gate

Heavy Industry Maintenance

Drift, ageing, vibration/audio/image evidence and maintenance actions.

  • Pack: heavy_industry
  • Accessible: anomaly_index, ageing_indicator, gamma, rr_grr_pct, coherence_global
  • Decision: Maintenance action / monitor / stop line

Connector-Driven Field Integration

ROS, PyTorch, TensorFlow, audio-vibration, vision-touch and LiDAR-IMU cartridges.

  • Plan: Enterprise / Regulated
  • Accessible: features, quality_metrics, alignment_metrics, recommended_fusion_mode
  • Hidden: metrics irrelevant to the selected cartridge and decision lens