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The Data+AI Platform for
Space and Time


The spatial 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 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

We are the original creators of Apache Sedona



Stars on Github









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. 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

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