
1. Technology overview
Wherobots was founded in June 2022 by Jia Yu and Mo Sarwat, the creators of Apache Sedona, and is based in the United States. It sells a cloud data platform for spatial analytics and AI so that data teams can process very large geospatial datasets without building their own infrastructure.
The platform includes WherobotsDB, a spatial compute engine for spatial SQL and Python with 300+ vector and raster functions, RasterFlow for turning satellite and aerial imagery into features, and the Havasu open-format catalog on Apache Iceberg. It reads data in place from Databricks, Snowflake, AWS Glue and PostGIS, and offers an MCP server for AI agents. Logos include Allstate, Swiss Re, Comcast and S&P Global.
2. Highlighted features & specifications
- WherobotsDB: spatial SQL and Python engine with 300+ vector and raster functions.
- RasterFlow: converts satellite and aerial imagery into physical-world features.
- Havasu catalog: open datasets and own data in Apache Iceberg and Delta Lake formats.
- In-place access: connects to Databricks Unity Catalog, Snowflake Horizon, AWS Glue and PostGIS.
- MCP server: lets AI agents run discovery-to-job workflows.
- Map and BI connectors: Felt, MapLibre, ArcGIS, dbt, Airflow and REST API.
3. Potential application
- Joining parcel, building and flood-hazard layers at national scale for insurers and banks.
- Detecting vegetation encroachment near power lines from aerial imagery for utilities.
- Telecom site planning with spatial joins over population and tower data.
4. Benefits
Reads data in place from existing lakehouse catalogs, avoiding copies. Usage-based pricing with no per-seat licences and a free start. The vendor claims 2.5x faster spatial queries and up to 45% better price-performance on SpatialBench. SOC 2 Type 2 attestation is announced on the site.
5. Market trends & opportunities
Geospatial data is moving into mainstream lakehouse stacks, and teams want spatial queries and imagery-derived features without running separate GIS servers. Vietnamese telecom, logistics, insurance and utility firms with location-heavy data can use this model for site, risk and network analytics.
6. Other information
Founded June 2022. Series A raised in 2024 (amount not stated on the page). Backers listed: Felicis, Clear Ventures, Wing VC, Prosperity7, JetBlue Technology Ventures. SOC 2 Type 2 attested. Original creators of Apache Sedona.
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