Agentic AI Infrastructure Intelligence - from sensing to prediction to action.
OctaSence replaces fragmented monitoring tools, manual inspections, and reactive safety systems with a single, agentic intelligence layer. Unlike traditional SHM systems that rely on static thresholds and post-event analysis, OctaSence uses autonomous AI agents to understand structural behavior, predict failure progression, and trigger proactive safety actions—continuously and in real time.
Product Modules & Features
A unified Agentic AI platform for real-time infrastructure intelligence. Built for underground, remote, and high-risk environments with edge-first intelligence, digital twins, and autonomous safety agents.
Agentic AI & Predictive Intelligence
Autonomous AI agents learn normal structural behavior and identify early deviations that signal potential failures. By combining time-series forecasting and multi-sensor fusion, OctaSence predicts collapses, instability, seepage, and deformation hours to days in advance.
Intelligent Sensing & Data Foundation
OctaSence deploys rugged, low-cost multimodal sensors to continuously capture movement, stress, vibration, seepage, and deformation across critical infrastructure. Edge-first architecture with mesh, LoRaWAN, and satellite connectivity ensures reliable data flow even in remote and underground environments.
Automated Safety, Alerts & Compliance
AI-driven risk scoring automatically triggers intelligent alerts through dashboards, WhatsApp, SMS, and email. Built-in escalation workflows and auto-generated DGMS, BIS, and ISO-ready reports simplify compliance while accelerating safety response.
Digital Twin & Situational Awareness
Live 2D and 3D digital twins transform sensor and AI outputs into intuitive visual representations of infrastructure health. Heatmaps, simulations, and incident replays enable faster understanding, better planning, and proactive risk mitigation.
How OctaSence Works
From sensing to prediction to action — continuously.
2. Data Processing Layer
Edge devices clean, validate, and preprocess data locally, ensuring reliability and continuity even in low-connectivity environments.
3. AI Prediction Layer
Autonomous AI agents analyze patterns, forecast risk progression, and compute real-time structural stability scores.
1. Sensors Capture Field Data
Multimodal sensors continuously capture deformation, vibration, groundwater, pressure, temperature, and displacement across critical structures.
5. Act with Intelligent Alerts
Context-aware alerts automatically notify teams and command centers through predefined escalation workflows.
6. Reports & Continuous Learning
AI models retrain using historical trends and new incidents, improving accuracy and prediction lead time over time
4. Digital Twin & Dashboards
Live 2D and 3D dashboards translate AI insights into intuitive views of structural health and risk zones.
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