Circlegeo turns earth and data into systems institutions depend on — national weather, ocean, and aviation forecasting, and the geospatial engines behind Indonesia's largest insurers. Here's the proof, project by project.
Every project below is built from the same four capabilities — combined and tuned to what the decision actually needs.
One place to see the whole picture — every layer, metric, and alert on a single operational screen.
Maps, charts, and geospatial views that turn dense data into something a decision-maker reads in seconds.
Pipelines that ingest, process, and update on their own — no manual refresh, no stale numbers.
Live feeds analysed as they arrive, so the map reflects now — when minutes decide the outcome.
AI solutions that put data privacy first — vision, catastrophe, weather, and marine intelligence, run on infrastructure we own and control.
Weather, ocean, and aviation systems that turn the planet's physics into forecasts and warnings people can act on.
BMKGBMKGAn impact-based forecasting platform that fuses BMKG rainfall with BNPB vulnerability data — turning a forecast into colour-coded threat polygons and a 1–10 impact level, so responders see what a storm will do, not just where it rains.
Weather & Climate AI — forecast workflows that ingest, process, and publish without a manual refresh.
BMKGBMKGA national marine-weather system for the world's largest archipelago — waves, currents, salinity, and drift modelled up to seven days ahead, delivered as maps that keep ships, ports, and coastlines ahead of the sea.
Marine Intelligence AI — anomaly detection and route prediction in research preview.
BMKGBMKGA forest- and land-fire early-warning platform for the dry season — turning meteorology (wind, humidity, rainfall, temperature) into fire-danger levels and spread potential, so agencies act before karhutla ignites, not after.
Weather & Climate AI — live weather turned into fire-danger indices and published automatically.
Exposure, hazard, and accumulation made visible — so insurers and reinsurers price and manage risk on real geography.
JasindoWikimedia CommonsThe geospatial backbone of Indonesia's paddy-insurance programme (AUTP) — mapping insured fields, validating claims against the ground, and making a nationwide smallholder scheme auditable field by field.
Vision AI · Sawah Segmentation — paddy fields validated from satellite imagery, not field surveys alone.
JasindoWikimedia CommonsA geospatial view of a national property book — every insured asset placed on the map, exposure and accumulation made visible so underwriting sees concentration risk before it writes it.
BCA InsuranceWikimedia CommonsPortfolio-wide property risk for BCA Insurance — locations, hazards, and accumulation on one canvas, so pricing and capacity decisions rest on where the risk actually sits.
MAIPARKMAIPARKA catastrophe portfolio platform for Indonesia's specialist earthquake reinsurer — exposure crossed with seismic hazard to price disaster risk and manage accumulation across the national book.
Catastrophe Intelligence AI — shakemaps and risk scoring generated within minutes of an event.
If you're deciding under weather, hazard, or exposure, we've likely built something close. Tell us the problem — we'll show you the shortest path to a working system.