granular.ai: Empowering Enterprise Decision-Making with AI-Powered Geospatial Intelligence

granular.ai is a cutting-edge AI platform specializing in geospatial intelligence, enabling organizations to extract actionable insights from satellite and drone imagery at scale. Designed for enterprise-level applications, it combines advanced machine learning with intuitive tools to support disaster response, property assessment, and evidence-based planning. The platform is built by expert geospatial and deep neural network researchers and trusted by leading academic institutions worldwide. With a focus on rapid analysis and real-time data processing, granular.ai delivers immediate value through its suite of innovative products.

Key Features:

• EarthAI R&D Platform: For developing machine learning models using Earth observation data.
• GeoSearch: Natural language interface for interactive and context-aware geospatial asset discovery.
• GeoEngine: Comprehensive geospatial data management with AI-assisted labeling, model training, deployment, performance tracking, scaling, and version control.
• Geo LVM: Multi-modal platform integrating large language and vision models for advanced geospatial event analysis.
• DL Judge: Tools for model compression and quantization to enable efficient deployment of geospatial ML models.
• Property AI: Automates property inspections using drone imagery for storm damage analysis, roof measurements, and digital twin creation.
• Inspect.Properties: A specialized toolbox for roofers offering roof measurements, damage assessment, and cost estimates.
• QuadMap: Generates digital twins of properties from drone images and sketches.
• OnField: A mobile app for managing on-site drone inspections seamlessly.
• HADR AI: Rapid disaster response suite including FireMap, Quake Map, Flooded Land, and Spill Track for real-time monitoring of wildfires, earthquakes, floods, and marine oil spills.
• Real-Time Disaster Mapping: FireMap provides instant wildfire monitoring and mapping; Quake Map delivers immediate basemaps post-earthquake.
• Rapid Storm Damage Analysis: Reports generated within 15 minutes, human-verified and delivered in under 12 hours.
• 30-Minute Roof Measurements: Fast, accurate roof assessments using AI-driven analysis.
• Multi-Source Satellite Data Access: Supports data from 21 satellite sources and allows custom dataset uploads.
• Foundation Model Integration: Leverages models like CLIP and BLIP for zero-shot performance on satellite imagery.
• Research-Backed Innovation: Features advanced models such as Siamese UNet for wildfire detection and SAM-GEO for pool identification.
• Low-Code/No-Code Development: Powered by geospatial AI libraries like geolibs for streamlined implementation.
• API Integration: Offers seamless API access to deploy AI models in disaster response and other critical applications.
• "Day 1 Value" Approach: Delivers immediate, tangible benefits from geospatial AI without lengthy setup.

Pricing: granular.ai operates on a subscription-based model, offering tailored plans for enterprise and research use, with a trial option available for new users to experience its capabilities firsthand.

Conclusion: granular.ai stands at the forefront of geospatial AI innovation, delivering powerful, real-time insights for critical decision-making across disaster response, insurance, and infrastructure management. Its robust, research-driven platform combines speed, accuracy, and scalability—making it an indispensable tool for forward-thinking enterprises and academic researchers alike.