ClearSpot.ai

ClearSpot transforms solar energy asset management with Edge AI that integrates computer vision, multi‑sensor fusion, and agentic orchestration to optimize performance from the ground to the sky. Our on‑site platform ingests high‑res imagery and real‑time sensor data (irradiance, temperature, current, LiDAR, thermal), processes it at the network edge, and delivers millisecond actionable insights—live dashboards, anomaly alerts, and MW‑loss quantification—for streamlined O&M. Beyond analytics, our agentic AI autonomously orchestrates drone and actuator fleets: generating mission plans, assigning flight paths, and tuning sensors to capture targeted data without human intervention. Post‑flight imagery and telemetry feed directly into edge inference for instant defect detection (micro‑cracks, soiling, misalignment) and sensor fusion insights that drive preemptive maintenance. Key capabilities include: - Edge‑Driven Drone Inspections: Real‑time flight orchestration & on‑device inference auto‑scan panels, cables, and inverters pre‑landing. - Deep Learning Defect Recognition: Sub‑pixel detection of micro‑cracks, corrosion, and thermal anomalies on edge GPUs. - Multi‑Sensor Fusion: Correlates environmental, electrical, and imaging data to forecast degradation and quantify MW losses. - Agentic Task Coordination: Agents reprioritize and dispatch drone missions or robotic maintenance tasks in real time, cutting resolution time by up to 70 percent. - Offline‑First Resilience: Edge services maintain analytics and orchestration offline, syncing when connectivity returns. Experience ClearSpot’s edge‑to‑sky solution: drone‑enabled inspections, edge analytics, and agentic orchestration to maximize uptime and ROI across solar farms and energy infrastructures. Experience ClearSpot’s next‑generation Edge AI and agentic orchestration.