Capabilities · 02
The understanding layer.
Multimodal fusion, environmental embeddings, anomaly detection, and predictive forecasting. The intelligence engine that makes coastal data legible.
Layer · 01
Embed
Every modality is encoded into a shared spatiotemporal embedding space. Satellite tiles, sensor traces, and scientific text all become reasoning-ready vectors.
Layer · 02
Fuse
Cross-modal alignment. A reef section is the same entity whether observed by optical satellite, SAR, drone, or in-situ biodiversity survey.
Layer · 03
Remember
Long-term ecosystem memory — every observation, prediction, and intervention tied to place and time. The platform learns your coast.
Layer · 04
Detect
Anomaly surfacing across modalities. A turbidity spike, a thermal anomaly, an unexplained bathymetric shift — flagged in real time.
Layer · 05
Reason
Gemma-class reasoning over the environmental graph. Ask in natural language; receive spatial, temporal, and probabilistic answers.
Layer · 06
Forecast
TimesFM, GraphCast, and FourCastNet ensembles project shoreline change, storm trajectories, ecosystem trends — with confidence intervals.
Reasoning interface
Speak to the ecosystem.
Plain language in. Spatial, temporal, probabilistic answers out. No GIS expertise required.