Map external data onto your internal records to automate complex analysis.

We help enterprise operations, risk, and planning teams connect their internal systems to real-world geospatial, demographic, and market signals. Ceres automatically merges your data to build scorecards, map exposures, and classify records without weeks of manual spreadsheet work.

Internal DB
Asset Records
Ext. Signal: Weather
Weather Data
Ceres Engine
The bottleneck

Manual reconciliation holds teams back

Analyzing your records against outside data is a massive manual bottleneck. Your internal assets live in your database, but the external data (weather, demographics, etc.) lives everywhere else.

Trapped Analysts

Analysts spend all day compiling data instead of using it.

Status: Critical Drain

Stale Data Artifacts

Disconnected data creates bottlenecks, leaving less time for decision-making.

Unstructured Grind

Manual review of unstructured records does not scale.

What Ceres does

Connect signals in minutes

Automate data blending

Seamlessly merge disparate internal datasets with complex external feeds without writing custom ETL pipelines.

Overlay external signals

Instantly map demographic, geospatial, and market data onto your existing records.

Dynamic Scorecards

Generate real-time risk and opportunity scores.

What-If Scenarios

Run simulations based on shifting external variables.

Use cases

Replacing spreadsheets

View all cases
  • Supply Risk Scorecards
  • Portfolio Exposure Mapping
  • Geospatial Audience Targeting
  • Text Categorization
  • Demand Forecasting
Telemetry

Measurable results

Wk→Min
Processing Time
Instant Categorization
TB+
Massive Scale
API/DB
Direct Integration

Ready to see it work with your data?

Stop losing days to manual data reconciliation.