The Data Platform for
Geospatial Analytics & AI
The geospatial data analytics and AI platform trusted in production, at scale,
from the original creators of Apache Sedona
End-to-End Geospatial Data Pipeline Development Tool
Geospatial Data Analytics and AI Acceleration
Hassle-free tool to develop, debug, and test geospatial data science, machine learning, AI and analytics applications
Cloud and On-Prem Integrated Geospatial pipeline
Deploy your developed geospatial data program with major cloud data services such as Databricks, Snowflake, AWS, Azure, and Google Cloud
Geospatial Data Stack Versatility
Develop your geospatial data stack using
Spatial Python, Spatial SQL and integrate your code with popular data tools such as Spark, Flink, Hadoop, or PostgreSQL.
Fully Managed Spatial Data Pipeline
Run your geospatial data analytics application on massive data with fully managed in-situ spatial data partitioning, indexing, and tuning
How Wherobots Works
Wherobots enables users to easily develop, test, and deploy geospatial data analytics and AI pipeline within the user's existing data stack. That can be deployed in the cloud or on-prem. Users do not have to worry about the hassle of resource administration, workload scalability, and geospatial processing support / optimization.
1. Connect
Connect your Wherobots account to the cloud database where the data is stored using our SaaS web interface
2. Develop
Develop your geospatial data science, machine learning or analytics application using Sedona Developer Tool
3. Deploy
Schedule automatic deployment of your geospatial pipeline to the cloud data platform and monitor the performance in Wherobots
4. Consume
Consume the outcome of your geospatial analytics task. Consumption model can be through a single geospatial map visualization or API calls