HATHOR transforms fragmented field data into a continuous intelligence loop that improves every extraction decision — from raw sensor input to actionable operator guidance.
HATHOR ingests sensor feeds, borehole logs, satellite imagery, weather data, and equipment telemetry — normalizing diverse sources into a unified data lake in real time. Whether data arrives via MQTT streaming, REST API push, or batch file upload, the ingestion pipeline validates, deduplicates, and indexes each record within milliseconds.
Geological models, hazard detectors, and optimization algorithms process incoming data continuously — generating risk scores, deposit probability maps, and maintenance forecasts. Multi-layer neural networks trained on decades of mining data identify patterns invisible to human analysts, while anomaly detection flags deviations before they escalate into incidents.
Prioritized alerts, recommended extraction sequences, and environmental compliance reports surface through role-specific dashboards, mobile apps, and API integrations. Every recommendation includes a confidence score, supporting evidence, and a one-click path to implementation — reducing cognitive load on operators while preserving full human oversight of critical decisions.
Each stage of the HATHOR pipeline is built for resilience, scalability, and accuracy — ensuring that no signal is lost and no decision is made on stale data.
Raw sensor data is pre-processed at the edge — filtering noise, compressing telemetry, and triggering local alerts before data ever reaches the cloud. This minimizes latency for safety-critical notifications and reduces bandwidth costs across remote mine sites.
All ingested data lands in a time-indexed, schema-on-read data lake. Historical records are never overwritten — enabling full audit trails, retroactive model training, and compliance reporting that requires point-in-time reconstruction of operational state.
HATHOR's model orchestration layer routes incoming data to the right AI models — geological, safety, logistics, or environmental — and reconciles overlapping predictions into a single coherent operational picture. Models are versioned, A/B tested, and automatically rolled back if accuracy degrades.
Intelligent alert routing ensures that the right people are notified at the right time — with severity-based escalation, site-specific distribution lists, and quiet-hours policies. Critical safety alerts bypass all filters and deliver simultaneously to dashboards, mobile devices, and on-site alarm systems.
HATHOR doesn't work alone. It operates within the Sans Mercantile Constellation — a suite of interconnected AI systems.