Live Demo
Redundant, heterogeneous, audio and maintenance demonstrations.
No accountProduct levels
From first test to governed industrial deployment. Public discovery remains simple, while protected capabilities become available through the authenticated dashboard and Companion tiers.
Cloud Starter
Upload processing, charts, compact ECV and simple exports.
Authenticated dashboardProfessional
AI Dataset Quality, benchmarks, conference audio and governed local jobs.
Dashboard + Windows Companion Pro pilotPartner
Broad, cross-team service bundles for universities, institutions, integrators and channel partners.
Institutional workspace + governed portfoliosIndustrial / Enterprise
Plant connectors, offline buffer, fleet supervision, audit and traceability.
Companion Industrial preview + IoT + governanceAccess map
Capabilities are organized by product outcome. Upgrade paths stay visible, while sensitive controls remain governed.
Cloud fusion upload
File upload, charts, compact ECV and simple exports.
FusionAI Dataset Quality
ECV-enriched datasets, readiness signals and benchmark views.
AI Quality + BenchmarksWindows Companion Pro Pilot
Conference audio, watched folders, governed local jobs and local Evidence State for controlled pilots.
CompanionAggregated service portfolios
Institution-level access packaging for broad training, research, pilot and reseller needs.
Fusion + Companion + AI QualityCompanion Industrial Preview
Plant connectors, offline buffer, fleet health and plant-edge policy.
Companion + IoTSensor Trust Firewall
Pre-AI screening for IoT and industrial streams before dashboards or models consume them.
IoT + TraceabilityCommercial Truth Contract
Every output states its proof level and allowed use. The API does not promote a result beyond the evidence attached to that result.
Reproducible Analytical
Default posture: same data, parser and configuration can reproduce the result, without claiming external truth.
Indicative Metrological
Uncertainty, calibration context or physics plausibility exists, but certified reference evidence is incomplete.
Validated
The result is compared with ground truth, a reference dataset, a domain oracle or an approved procedure.
Certified
Reserved for kit/external validation, traceability, coverage evidence and an approval workflow.
For image, audio, video, text and multimodal AI, SITANO can transform extracted features and model outputs into traceable, uncertainty-aware evidence. In domains without a validated protocol, outputs remain decision-support recommendations rather than certified decisions.
Fusion Workspaces
Open product workspaces, reports, sector views and documentation from a user-oriented entry point.
Fusion Dashboard
Run file upload, batch upload, streaming, calibration and profile-aware recommendations.
OpenMaintenance Intelligence
Analyze anomaly, drift, uncertainty and sensor ageing, then hand off justified actions to Industries.
Open in dashboardAI Dataset Quality Benchmarks
Subscriber workspace for ECV, propagated Evidence State and industrial decision-readiness benchmarks.
Open in dashboardCompanion Access
Connect a local Companion pilot, supervise governed local jobs and monitor evidence summaries without uploading raw streams by default.
Open CompanionSector Packs
Review sector-oriented evidence workflows for regulated environments; formal certification remains evidence-dependent.
ExploreUse Cases
Match individual, institutional and regulated use cases to metrics and plans.
ExploreProduct Plans
Inspect Cloud Starter, Professional, Partner and Industrial / Enterprise access boundaries.
OpenDocumentation
Review core metrics, uncertainty interpretation and profile-specific evidence views.
OpenAdvanced Documentation
Review advanced product usage, specialized evidence views, reports and attestations.
OpenEvidence Trust Pillars
SITANO Fusion is positioned as a trust layer for redundant, complementary and derived-event evidence, with explicit proof and usage posture.
Evidence Posture Framework
Each result declares its proof level, processing posture, decision posture, recommended use and forbidden use.
Regulated-sector cautious architecture
Internal gates support critical-sector pilots, while medical, defense, nuclear and aerospace claims require external validation, approval and traceability.
Governed Product Levels
Start with public demos or Cloud Starter, then scale to Professional, Partner, Industrial and regulated evidence workflows.
Connector Cartridges
Connector cartridges normalize ROS, AI, audio, vision, derivative time-series and industrial multimodal evidence before governed fusion.
Decision Lens Insights, One API
Data family selects the evidence model; the decision lens selects the mission viewpoint. One API, different value for each role.
Scalar, Tabular & Time-Series
Measurements, structured records, industrial signals and laboratory evidence.
- Metrology Certifier: indicative, validated or certified uncertainty only when evidence allows it.
- Physical Diagnostician: vibration, audio, temperature and image diagnosis.
- Production Quality Control: pass/fail hold and operator validation.
- Reliability Maintainer: drift, anomaly and maintenance tickets.
- System Architect: full trace audit when conditioning or calibration fails.
Vector, Angular & 6DoF
Robotics, drones, pose estimation, orientation bundles and mixed motion signals.
- Real-Time Pilot: safe mode, fallback state and low-latency control.
- Functional Safety / Defense: autonomy block on divergence or weak consensus; certification remains out-of-band.
- Edge Firmware: compact telemetry and local processing choices.
- System Architect: coordinate-frame, method_code and numerical audit.
Image & Computer Vision
Visual inspection, product quality, defect detection, field evidence and image datasets.
- Production Quality Control: hold sample when blur, light or ambiguity is high.
- Data Scientist / MLOps Engineer: quarantine weak images before training.
- Reliability Maintainer: inspect visual degradation of assets.
- Functional Safety / Defense: human review required when explanations or evidence are unstable.
Audio & Acoustic Signals
Microphones, vibration-like sound streams, source detection and acoustic monitoring.
- Edge Firmware: transmit only useful deltas or keep processing local.
- Reliability Maintainer: use spectral drift for preventive inspection.
- Real-Time Pilot: fallback when audio evidence is noisy or unstable.
- Data Scientist / MLOps Engineer: denoise, segment or retrain audio classifiers.
Text & NLP Corpus
Documents, reports, annotations, logs and language datasets.
- Data Scientist / MLOps Engineer: annotation review, deduplication and corpus balance.
- Production Quality Control: reject ambiguous labels from automated release.
- Metrology Certifier: keep text evidence as support, not physical calibration.
- System Architect: trace ambiguity, label confidence and workload filters.
Video & Multimodal AI
Frame streams, mixed sensors, vision+audio+text, and cross-modal decision systems.
- Heterogeneous Fusion Arbiter: inter-modal conflict and temporal-skew gates.
- Functional Safety / Defense: block autonomy on modal divergence; keep outputs advisory until validated.
- Real-Time Pilot: reduce window size or segment fast-changing streams.
- Data Scientist / MLOps Engineer: align modalities before retraining.
- System Architect: expert trace across features, models and calibration basis.
Optimize By Decision Lens
Select the decision lens first; SITANO Fusion then tunes metrics, latency, bandwidth, calibration context and evidence posture for that mission.
Metrology Certifier
Calibration context -> indicative, validated or certified-ready uncertainty.
- Prioritizes uncertainty basis, coverage and traceability
- Separates certified kit calibration from virtual or AI estimates
- Best for laboratories, audits and quality evidence with explicit proof limits
Recommended profile: Laboratory / Expert
Real-Time Pilot
Latency target -> safe fallback and fast advisory decisions.
- Keeps only the metrics needed for live control
- Flags weak consensus, drift and unstable windows
- Best for robotics, drones and streaming supervision under validated operating envelopes
Recommended profile: Defense / Edge IoT
Data Scientist / MLOps
Dataset evidence -> recommend train, quarantine or relabel.
- Focuses on label confidence, ambiguity and drift
- Adapts recommendations to scalar, image, audio, text or video data
- Best for model monitoring and dataset readiness
Recommended profile: AI Data / Expert
Reliability Maintainer
Sensor health -> maintenance action and risk reduction.
- Tracks anomaly, ageing, coherence and repeatability
- Identifies weak sensors instead of flooding the export
- Best for industrial monitoring and preventive maintenance
Recommended profile: Industry / Director
Event Forecaster
Derivative evidence -> early warning and event confirmation.
- Uses event confidence, event decision and anticipation horizon
- Balances warning speed against false-alarm risk
- Best for ovulation windows, degradation precursors and regime changes
Recommended profile: Expert / Industry
Derivative Fusion Analyst
Derivative audit -> SNR, phase lag and alignment quality.
- Audits D0-D3 derivative layers and cross-correlation lags
- Explains why an event forecast is accepted, delayed or rejected
- Best for expert traceability and validation preparation
Recommended profile: Expert
Built For Decision-Lens Workflows
Metrology Certifier
Real-Time Pilot
Reliability Maintainer
Data Scientist / MLOps
Production Quality Control
System Architect
Heterogeneous Fusion Arbiter
Physical Diagnostician
Event Forecaster
Derivative Fusion Analyst
Start With Evidence-Aware Processing
Sign in through the SITANO-Holding portal to access fusion, calibration profiles, governed recommendations, reports and evidence-aware exports.