Granular provides AI‑powered geospatial platforms that turn satellite, drone, and aerial imagery into actionable intelligence through natural‑language queries, image annotation tools, and end‑to‑end machine‑learning workflows. Its specialized solutions—Property AI for automated roof measurements, storm‑damage analysis, and digital twins, and HADR AI for real‑time disaster basemaps, alerts, and API‑driven monitoring—deliver ready‑to‑use analytics and reports that integrate into enterprise decision‑making processes.
Funding
$100K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Satellite and aerial imagery contain valuable information for decision‑making, but extracting actionable insights requires specialized expertise, extensive data processing, and custom AI development, which many organizations lack.
Solution
Granular offers a suite of AI‑powered geospatial platforms that turn raw satellite, drone, and aerial data into usable intelligence without extensive setup. Users can query geospatial assets through natural‑language interfaces, annotate images to build training datasets, and run advanced machine‑learning workflows for tasks such as model compression, quantization, and rapid inference. Specialized solutions include Property AI for automated roof measurements, storm‑damage analysis, and digital twin creation, as well as HADR AI that provides real‑time basemaps, alerts, and API‑driven tools for wildfire, earthquake, flood, and oil‑spill response. The platforms deliver day‑one value by delivering ready‑to‑use analytics, reports, and APIs that integrate into existing enterprise workflows, enabling faster, evidence‑based decisions across industries.
Target Audience
Primary customers include government agencies, insurance and re‑insurance firms, infrastructure and roofing companies, and enterprises that require rapid geospatial analytics for disaster response, property assessment, or environmental monitoring.
Features
- Natural language query engine (GeoSearch) for intuitive interaction with geospatial datasets
- Image annotation tools to generate custom remote‑sensing and computer‑vision training data
- End‑to‑end AI experimentation suite (DL Judge) for model compression, quantization, and cost‑effective deployment
- Property AI toolbox delivering automated roof measurements, storm‑damage reports, and digital twin generation within minutes
- HADR AI suite offering real‑time event basemaps, historical disaster queries, and alerting for wildfires, earthquakes, floods, and oil spills
- API integrations (e.g., FireMap, QuakeMap, Flooded Land, Spill Track) for seamless embedding of disaster‑response data into external systems
- Cloud‑hosted analytics pipeline that provides immediate, verified reports and visualizations for enterprise users