Our Mission

Accelerating the Solar Revolution through AI.

SolarPulse leverages cutting-edge computer vision and satellite imagery to provide instant, precise solar potential estimations for every residential rooftop. We're bridging the gap between raw data and clean energy adoption.

98.4%

Detection Accuracy

15M+

Roofs Indexed

< 2s

Processing Time

Regional Energy Potential

kW/h Analysis

JANMARMAYJULSEPNOV

The Engine Under the Hood

Our Technology Stack

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React Framework

Delivering a lightning-fast, responsive frontend interface for complex 3D solar visualization.

UI/UX Real-time

terminal

Python & FastAPI

High-performance asynchronous backend services for handling massive geospatial data requests.

API Back-end

visibility

OpenCV

Advanced computer vision for satellite image pre-processing and edge detection of roof structures.

Computer Vision Imaging

psychology

YOLOv8 Neural Net

State-of-the-art object detection for identifying roof obstructions like vents, chimneys, and skylights.

Deep Learning AI

map

Google Maps Platform

Seamless integration for global rooftop imagery and high-resolution spatial awareness.

Geospatial Mapping

rocket_launch

NASA POWER API

Harnessing global meteorology and solar radiation data to calculate precise energy production.

Climate Data Solar

analytics

Inference Latency Optimization

V2-ENGINE

450ms

V3-ENGINE

220ms

V4-SOLAR

85ms

monitoring

Model Training Accuracy

99.2% MAX

EPOCH_LOG: Optimization complete for residential roof segmentation model.