The only ledger that knows your tailings pond is one rainstorm away from a Superfund site.
TailingsVault tracks environmental liability, structural integrity data, and EPA reporting obligations for mining tailings storage facilities — the industry's most ignored ticking time bombs. It aggregates sensor feeds, inspection records, and precipitation forecasts into a single risk dashboard and auto-generates the mandatory reports that mining ops always scramble to file at the last second. If your tailings dam fails, it wasn't because you didn't have the data.
- Real-time structural integrity scoring pulled from piezometer and inclinometer sensor arrays
- Precipitation risk modeling against 47 distinct failure-mode thresholds calibrated from historical dam breach events
- Native integration with EPA's ECHO reporting portal for zero-scramble compliance submissions
- Automated inspection record ingestion with anomaly flagging and remediation deadline tracking
- Full audit trail. Every data point. Timestamped. Immutable.
HPMS SensorNet, EPA ECHO, WeatherCompany API, Trimble Geospatial, OSIsoft PI, GeoScienceVault, MSHA eLibrary, Esri ArcGIS Online, TailNet Pro, Salesforce (for operator account management), PondWatch API, FracTracer Cloud
TailingsVault is built as a microservices stack — sensor ingestion, risk scoring, report generation, and the audit ledger each run as isolated services communicating over an internal event bus. MongoDB handles all transactional compliance records because the document model maps cleanly onto EPA form schemas and I'm not going to apologize for that. The risk engine is a Python service that runs continuous scoring jobs on a 15-minute tick, with results cached in Redis for long-term trend analysis and dashboard reads. Everything is containerized, everything is reproducible, and the deployment fits on a single manifest file.
🟢 Production. Actively maintained.
Proprietary. All rights reserved.