Earth Observation
Intelligence
We’re building geospatial models and AI‑powered workflows that turn SAR and optical imagery into decision-ready alerts and auditable insights at scale.
01 / USE CASES
Infrastructure Monitoring
InSAR time series for deformation and ground stability across corridors and large assets such as rail/road, dams/levees, tailings, pipelines, ports, and industrial sites. Outputs include deformation layers and time series with QA indicators for repeatable risk monitoring.
Construction Tracking
Repeatable progress and disturbance tracking for sites and corridors using SAR with optional optical. Earthworks, haul roads, stockpiles/pads, and expansion boundaries are tracked with date-to-date deltas and reviewable layers.
Object Detection
AI-based detection and counting of defined object classes within your AOIs using SAR and optical imagery. Map layers plus time-based metrics (counts, density, trends) with QA fields for review and reporting.
Land & Vegetation
Deforestation and vegetation loss monitoring for concessions and areas of influence using SAR and optical data, designed for auditability (MRV-friendly). Timestamped alerts, mapped loss areas, and audit-ready summaries for ESG and carbon workflows.
Weather Impact
Rapid event footprints for floods/water extent, wildfire burn impact, and severe storms/hail for triage, exposure, and parametric triggers. Mapped impacts, event-window comparisons, and portfolio summaries for repeatable reporting.
Custom Engineering
Custom monitoring built around your assets and decisions: risk/compliance layers, sensor fusion (SAR+optical), drones/field/IoT inputs, and integrations. Reviewable layers, summaries, and APIs, with options for private deployment and ongoing monitoring.
02 / Technology
The Pipeline
A modern Earth Observation pipeline built for scale, speed, and operational outputs. We fuse SAR and optical data, apply GPU-accelerated analytics and AI, and deliver results your team can plug directly into maps, dashboards, and monitoring workflows. Runs are versioned and traceable for audit and reproducibility.
Multi-source ingest across SAR and optical satellite imagery, plus drone capture when higher resolution or rapid local context is needed. Selected for coverage, revisit, and availability.
GPU-accelerated processing and AI inference to extract the signals that matter: change, objects, and time-series patterns, with confidence and QA indicators for review.
Production-ready delivery: streaming vector tiles (MVT), GeoJSON or GeoParquet, COG exports, APIs, or S3-compatible sync. Designed to integrate cleanly and run on a schedule.
Built on Open Standards
A modern geospatial stack for earth-scale monitoring: cloud-native, GPU-accelerated, and designed for interoperability. We deliver outputs in open formats and standard interfaces (STAC, COG, GeoParquet), so results stay portable across your cloud, GIS, and analytics stack. Runs are versioned and traceable for QA and audit.
EO catalog standard for consistent discovery and automation: fast search, filtering, and repeatable monitoring runs.
Cloud-Optimized GeoTIFF for streaming rasters at scale with efficient partial reads and consistent publishing for cloud delivery.
Single-file tile packaging for portable, CDN-friendly map delivery without running a tile server.
Training and fine-tuning for EO segmentation and detection, often paired with TorchGeo for geospatial datasets and workflows.
PostGIS for indexed vector storage and spatial queries, DuckDB for fast analytics on Parquet and GeoParquet.
Columnar formats for large vector and feature datasets: portable, analytics-ready, and efficient for both storage and compute.
Lambda-style functions for triggers and alerts, plus GPU-capable instances for pipeline processing.
Parallel compute for tiling and time-series processing across large AOIs and recurring runs.
Core geospatial primitives for reprojection and raster/vector operations. Keeps processing spatially correct and consistent across sensors.
03 / Company
Geospatial operations are
too important
for bad tools.
Ready to start
monitoring?
We are in Early Access and working with a small number of select partners on paid pilots to shape the product.
Share what you are monitoring, your AOIs, and what success means. We will reply with a time-boxed pilot scope and the fastest path to a first deliverable in 4 weeks or less.
You will get GIS-ready outputs with confidence fields, delivered as files or via API, accompanied by a technical summary and roadmap for scale.