Connect your AI coding assistants to the physical world with Wherobots MCP and CLI Learn More

WHEROBOTS PRO FREE TRIAL

Run planetary-scale spatial workloads. Free for 30 days.

Full access to Wherobots, the AI Context Engine for the Physical World.

$95 in compute credits when you sign up.

Get an additional $250 in credits when you start using Spatial AI Coding Tools. Contact us after you start your free trial to receive your additional credits.

$95 in credits
Use across any runtime. Compute, storage, and queries included.
30 days, full Pro access
Every feature, every dataset, every spatial function.
Sign up with email
Upgrade only when you’re ready.

Full Pro Access

WherobotsDB

Planetary-scale spatial compute engine with 300+ vector and raster functions. 100% Apache Sedona compatible.

Spatial AI Coding Assistant

Agentic interface for spatial workflows. Build and execute queries through VS Code and MCP in natural language.

Global Hub

Organizational memory for the physical world. Central home for notebooks, repos, jobs, models, and workflows.

Jobs and API Access

Schedule and automate spatial workloads. Full API access for programmatic control of your compute pipelines.

Enterprise Security

Up to 10 users. SSO, SAML, and MFA included. 8×5 support from the team behind Apache Sedona.

RasterFlow (Private Preview)

Inference Engine for planetary scale perception as a service (contact us to join preview).

How to Get Started

Your trial runs for 30 days or until your $95 in credits is used, whichever comes first. Contact us after you activate your free trial to get an additional $250 in credits when you enable our Spatial AI Coding tools.

2. Start your 30-day trial

Add your payment method to unlock $95 in free credits.

3. Get building

Immediate access to the all capabilities, no waiting.

Low Cost + High Performance Spatial Operations

WherobotsDB delivers fast, cost-efficient performance across spatial SQL and python workloads*. WherobotsDB benchmarks at 3x faster with up to 45% better price-performance than comparable engines, and at lower cost than PostGIS at scale.

*This represents actual cost benchmarking results for SpatialBench queries 7-12 with a scale factor of 1000 across three of the most comparable deployment options.

WherobotsDB
Lowest
Proprietary SQL Serverless Engine
x2.92 higher
Apache Sedona on Serverless Spark
x2.03 higher
Proprietary Cloud Managed Spark
x2.52 higher

Benchmark Results

SpatialBench Scale Factor 1000 query capability matrix. WherobotsDB completes all 12 queries; competing platforms fail on heavy spatial joins, distance joins, multi-way joins, and KNN joins.

SpatialBench Query WherobotsDB Sedona on Serverless Spark Proprietary SQL Serverless Proprietary Spark Clusters with Spatial SQL Sedona on Managed Spark Clusters
1: Spatial filter, aggregation, sorting
2: Spatial filter, aggregation, sorting
3: Spatial filter, aggregation, sorting
4: Lightweight spatial join and aggregation
5: Spatial aggregation
6: Heavy spatial join
7: Geometry construction and access
8: Heavy distance join
9: Heavy polygon self spatial join
10: Heavy spatial left join
11: Multi-way spatial join
12: KNN join

“We were able to merge 15+ complex vector datasets in minutes and run high-resolution ML inference at a fraction of the cost of our legacy stack. The combination of speed, scalability, and ease of integration has boosted our engineering productivity and accelerated how quickly we can deliver new geospatial data products.”

Rashmit Singh
CTO at SatSure

“With Wherobots on AWS, we can now scale to millions of acres reliably and cost-effectively, delivering faster results and more value to our customers.”

Bailey Stockdale
CEO at Leaf Agriculture

“Overture’s 2.6B-building dataset now runs up to 20x faster on Wherobots, with a simple code redirect that kept Sedona compatibility and made our team more productive.”

Jennings Anderson
Software Engineer with Meta for Overture Maps Foundation