AtlasAI provides a planetary-aware GeoAI platform designed for data scientists working with geospatial data. The platform offers hyperlocal socio-demographic indicators, change detection, and forecasting capabilities to pinpoint market opportunities and manage risk. It streamlines geospatial workflows through a feature store, model library, and developer toolkit for building resilient business and supply chain solutions.
Funding
$9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations operating in emerging markets often lack access to reliable, granular socio-demographic data and predictive analytics, hindering their ability to accurately assess market opportunities and manage risks. Traditional methods of data collection are often expensive, time-consuming, and lack the necessary resolution for effective decision-making in rapidly changing environments.
Solution
Atlas AI provides a GeoAI analytics platform that delivers hyperlocal socio-demographic indicators and demand forecasting, enabling organizations to identify and capitalize on market opportunities in complex environments. The platform leverages geospatial data and analytical models to empower data scientists with actionable insights, enhancing resource allocation decisions and operational resilience. By providing granular, up-to-date location intelligence, Atlas AI helps businesses and organizations navigate the complexities of emerging markets and make informed strategic decisions.
Target Audience
The primary target audience includes data scientists, analysts, and decision-makers in industries such as industrials, logistics, energy, consumer goods, manufacturing, and humanitarian aid, who require granular socio-demographic data and demand forecasting in emerging markets.
Features
- Access to hyperlocal socio-demographic indicators for detailed market analysis
- Demand forecasting capabilities to pinpoint market opportunities and optimize resource allocation
- Geospatial Feature Store: Geo-referenced analysis ready data (ARD) as features in ML workflows
- GeoAI Model Library: Catalog of production-scale analytical models for geospatial workflows
- Enterprise Developer Toolkit: A toolbox of connectors, interfaces and handlers that streamline GeoAI workflows
- Change detection capabilities to monitor market dynamics and adapt to evolving conditions
- Integration with existing data science workflows through connectors, interfaces, and handlers