- Type
- not stated
- Format
- Very-high-resolution drone orthophotography and derived raster damage layers with polygon area attribution, plus tabular area and severity summaries; imagery and evidence layers are retained as claim attachments, so the corpus is image-plus-derived-measurement pairs
- Volume
- Est. tens of thousands to low hundreds of thousands of drone flights processed over the operating life, each producing one or several high-resolution orthophotos plus a derived damage layer. Because each orthomosaic runs to hundreds of megabytes at centimetre resolution, the raw imagery archive plausibly reaches hundreds of terabytes to a few petabytes — and it is the per-instance damage annotation on top of that imagery, not the volume, that carries the value
- Users
- N/A in consumer terms — a B2B analysis platform sold to insurers, agronomists and crop-service providers. Est. low hundreds of professional accounts (inferred from 24 employees, roughly $2M revenue and a per-analysis or subscription commercial model rather than an enterprise seat motion)
- History
- not stated
- Update frequency
- not stated
- Growth
- Active — current use-case and product pages maintained across a widening analysis catalogue including a dedicated hail-damage product, an active insurer-facing go-to-market, seed funding of $1.3M and roughly $2M revenue recorded against 24 employees, indicating commercial traction beyond the funding
- Launched
- ~2016-2018 — the corporate record is unusually old for such a small team, opened in 2016, and the product presentation reflects a mature rather than newly-launched analysis engine; the insurance-specific damage line is later, est. 2020-2022, as climate-driven claim volume pushed insurers toward drone evidence
- Delivery
- not stated
- Entity mapping
- not stated
- Sample
- not stated
- Point-in-time
- not stated
- Licence
- not stated