- Type
- not stated
- Format
- Tabular time-series via API (per virtual station), plus automated report generation and alert feeds (email/SMS/voice); historical download as time-series files
- Volume
- est. hundreds of millions of station-day records: each virtual station yields near real-time discharge (sub-daily) + 15-day forecast ensembles + 30 years of historical backfill, i.e. ~10k-20k time-stamped values per station-year; across a global HydroSHEDS-derived catalogue of candidate stations the modelled archive is billions of values, with the licensable slice bounded by the number of stations a client licenses.
- Users
- est. 50-300 licensed organisational seats — tiering implies volume buyers: the lowest tier requires a minimum of 50 station subscriptions for customised terms and a 10-station minimum on the mid tier, so the client base is tens of utilities, hydropower operators, insurers and government agencies rather than individuals (no user count published)
- History
- 30 years
- Update frequency
- not stated
- Growth
- Active — live public price card with three tiers and multi-year discounts, expanding network coverage ('client-furbished river network' on the top tier) and add-on modules priced per station (hydropower forecast, reports, extra alert recipients), all consistent with a Seed-funded company scaling a recurring-revenue catalogue
- Launched
- ~2022-2023 (est.: Seed funding of $2.2M and a 2022-vintage organisation id, and the company is a spin-out-style satellite-hydrology startup; no explicit launch year on the pricing page)
- Delivery
- not stated
- Entity mapping
- not stated
- Sample
- not stated
- Point-in-time
- not stated
- Licence
- not stated