From student exploration to premium research, SITANO Fusion progressively exposes only the metrics that help the user act without drowning them in unused diagnostics.
Understand fusion, uncertainty and evidence quality on small datasets.
Explore repeatability, drift, calibration basis and publication-ready evidence.
Quarantine weak image, audio, text or multimodal datasets before training.
Institutional users get wider metric access because they need governance, traceability, sector packs, devices and audit-grade reports.
No-autonomy gate, fallback and operational safety review.
Clinical-support evidence without pretending to replace medical diagnosis.
Conservative weak-alarm retention and redundancy-driven escalation.
Temporal alignment, frame consistency and fallback readiness.
Drift, ageing, vibration/audio/image evidence and maintenance actions.
ROS, PyTorch, TensorFlow, audio-vibration, vision-touch and LiDAR-IMU cartridges.