Stoneforge Research delivers a full‑stack solution for aging civil infrastructure, combining modern sensor hardware, AI‑driven analytics, and edge‑computing to provide continuous, high‑resolution condition monitoring of large dams and similar assets.
Funding
Funding not disclosed
Founders
Product
Problem
The global infrastructure portfolio includes over 19,000 large dams that are more than 50 years old, many of which rely on sensor networks that are decades out of date. Existing monitoring solutions are fragmented, with academic research rarely reaching field deployment and service firms limited to manual inspections, leaving critical assets without modern, data‑driven safety and efficiency tools.
Solution
Stoneforge Research provides a full‑stack approach that combines fundamental research, applied engineering, and on‑site deployment of advanced monitoring systems for civil infrastructure. The company upgrades aging dams and legacy sensor networks by integrating modern sensor hardware with AI‑driven analytics to deliver continuous, high‑resolution condition monitoring. Their engineered platforms are designed for rugged field environments and include end‑to‑end data pipelines that transform raw sensor streams into actionable insights for operators. By bridging the gap between research and practical implementation, Stoneforge enables infrastructure owners to improve safety, optimize performance, and extend asset life without relying on disparate third‑party services.
Target Audience
Primary customers are dam owners, water utilities, and civil infrastructure agencies that manage aging reservoirs and require modern, automated monitoring solutions.
Features
- Custom sensor suites that replace or augment 40‑year‑old monitoring hardware with high‑precision, low‑maintenance devices
- AI‑based anomaly detection and predictive‑maintenance models trained on historical dam performance data
- Integrated edge‑computing nodes that preprocess data on site, reducing bandwidth and latency
- Cloud‑hosted analytics dashboard offering real‑time visualization, trend analysis, and automated alerting
- Full lifecycle service model covering research, system design, installation, calibration, and ongoing support
- Robust engineering validation and certification processes to meet regulatory and safety standards