An AI assistant that knows every tool and every layer of your data. It assists you through the whole workflow: spectral analysis, prospectivity, geological mapping, terrain modeling, InSAR. Step by step, in plain language.
One intelligent workspace · four operational layers. AI, remote sensing, geology, terrain, InSAR, documents, camera analytics and occupational safety — accessed through a single conversational layer.
Orchestration Layer
Ask, orchestrate, explain, report. The single entry point that knows every tool below it and can query your private documents and internal databases.
Connected private knowledge
Operational Domain · 02
Monitor deformation & risk. InSAR, sensor fusion, anomaly AI, tailings & dams.
Operational Domain · 03
Discover and rank targets. Spectral, prospectivity, geology, terrain, similarity.
Operational Domain · 04
Understand live site activity and occupational safety. CCTV integration, detection, tracking, 3D localization, PPE and restricted-zone alerts.
Enterprise Foundation
The assistant bridges every layer of the platform, guiding the workflow at the user’s direction.
Teams in mining, geology, infrastructure and environment do not lack data — they lack a way to combine it. Today, every decision still requires manually stitching together a long list of technical sources.
The technical layers a single decision typically touches — each in a different format, tool, and silo:
The real question
It isn't "we need another map". It is: How do we turn many technical data sources into fast, explainable decisions?
That's the gap TerraCroma closes — one workspace, one conversational layer, every source connected.
Knows every tool. Knows your data. Helps at every step. Describe what you want. "map iron oxide alteration around this district, find every fault within 5 km, rank the overlap", and the assistant picks the right tools, sequences them, and merges their outputs into a single answer.
Spectral indices, geometry, prospectivity, deposit queries, cross-sections, map captures, chained into a single workflow from one prompt.
Every session is saved with full context: viewport, active study, layers loaded, so you can pick up exactly where you left off.
Drop in an outcrop photo, a drilling log or a geological sketch. The assistant reasons over imagery and text together.
Frontier models behind the scenes. Swap providers without changing the workflow.
Tell the assistant what you want. It picks the right tools, sets parameters, runs them in the right order, and explains the result — all from a single natural-language prompt.
Example prompt
"Find iron-oxide alteration within 5 km of mapped faults in this district and rank the overlap by area."
User states the goal in plain language — no menu-diving, no manual tool selection.
Assistant decomposes the request, picks the right tools, sets parameters, orders the workflow.
Tools run together, each output flows into the next:
Annotated map with ranked target zones, citations to the data layers used, ready to refine.
"Show me everywhere this slope has moved more than 3 cm since 2022."
"Compare this outcrop's spectral signature to the rest of the district."
"Alert me whenever a vehicle crosses Zone B outside working hours."
"Search drilling logs for any mention of porphyry-style alteration here."
The same assistant that runs the geological workflow, deployed inside your network, can query your private documents and internal databases — geological reports, drilling logs, internal surveys, historical archives and enterprise records — in natural language, with grounded answers and citations.
Your data never leaves your infrastructure. Built for mining enterprises that can't send proprietary exploration data to external APIs. Self-hosted models, per-team access control, full audit trail.
Self-hosted models. Your servers. Air-gapped option available.
Documents never leave your servers. Zero third-party API calls. Per-team access control.
PDFs, drilling logs, scanned maps & reports: indexed and searchable in natural language.
Continuous centimeter-scale monitoring of dams, tailings facilities, slopes and pit walls. Predictive models trained on displacement time-series flag hazardous trends before they accelerate: turning incident response into prevention. Behind the scenes, the SBAS pipeline tunes to your site's geology and climate.
Subsidence, slope movement and structural drift detected from orbit.
Proprietary AI trained on displacement time-series detects hazardous trends in dams, tailings, slopes and pit walls before they accelerate, giving operators time to act.
Know where the signal is reliable before you draw conclusions.
CRS metadata and crop bounds preserved. Drop straight into your GIS stack.
Hash-based sharing for stakeholder reports; full privacy by default.
Proprietary models trained on centimeter-scale displacement time-series detect hazardous deformation patterns in dams, tailings facilities, slopes and pit walls, classifying movement type and flagging anomalies automatically.
The output: a clear risk classification per surface, served as a layer next to your spectral and geological data, so operators see where to act, and when, without parsing raw phase data.
A complete demo of the workflow, from configuration to displacement maps.
Connect the field instrumentation already on your tailings dam: piezometers, inclinometers, accelerometers, weather stations, water-level gauges. Stream their data alongside InSAR displacement and spectral indices in a single dashboard.
Cross-check satellite signals against ground-truth measurements, define multi-modal alert rules, and give operations one source of truth for the integrity of every dam, without replacing the systems you already trust.
Piezometers, inclinometers, accelerometers, weather and water-level, via your existing SCADA / IoT stack.
Satellite displacement and surface alteration zones rendered alongside ground-truth sensor data.
Trigger when sensor and satellite signals corroborate, routed to your incident system or on-call rotation.
TerraCroma complements ground radar — it does not replace it. Used together, the two layers cross-validate each other and give operators a complete picture.
On-site sensors
Best for
Wide-area satellite
Best for
When combined
Cross-validated anomalies · context around local alarms · multi-source confidence · better field-inspection prioritization.
Six stages, each handing output to the next. The same workflow runs whether you're screening a basin or zooming in on a single concession.
Observe
Sentinel-2, terrain, historical imagery — pulled by polygon and date.
Enhance
AI super-resolution and RGB composites tuned for geology.
Interpret
Spectral fingerprints, geological maps, deposit databases.
Compare
Similarity search, unsupervised clustering, custom classifiers.
Model
Bayesian prospectivity that fuses every evidence layer.
Prioritize
Ranked, explainable targets. Reports, exports, share links.
Tools that power this workflow ↓
Bayesian fusion of ten or more evidence layers (spectral, geological, structural, topographic and proximity-based) into a single, calibrated favorability map. Tune priors, weight evidence, mark known occurrences, and let the platform rank ground for you.
Spectral similarity
Mine proximity
Fault proximity
Lithology favorability
Slope & elevation
Spectral indices
Scene classification
Cluster signatures
AI spectral indices
Commodity probability
Mark positive and negative reference points. Tune the base-rate prior. Re-weight evidence on the fly. The output is a calibrated probability grid, not a black-box score.
Every other platform gives you spectral indices, deposit databases, geological maps and prospectivity as separate features. Ours uses them together, in the right order, with the right parameters, from one prompt.
"Find iron-oxide alteration within 5 km of mapped faults in this district and rank the overlap by area."
Decomposes the question, picks the four tools needed, orders the calls, sets parameters. No menus.
Tools run together, outputs flow into the next step.
Annotated map with three ranked target zones, citations to the data layers used, ready to refine.
Search Copernicus by polygon, date and cloud cover. Pull only the dates that matter. Then run AI super-resolution from native 10 m down to 1 m to recover detail that pixels alone can't show.
Native 10 m
AI super-res · 1 m
Filter by polygon coverage, cloud %, date range. Pick only what you need.
Asynchronous super-resolution with progress tracking and retry.
Georeferenced outputs ready for QGIS, ArcGIS or your processing pipeline.
Point at one outcrop and get every spectrally-similar pixel on Earth back in seconds. Group them automatically, train your own classifier on samples you draw, project any spectral index at planetary scale, without downloading a single scene.
A pre-computed spectral fingerprint for every pixel on Earth. Click a reference, get a ranked similarity heatmap.
Automatic grouping of spectral patterns. Discover lithology and land-cover classes with no labels.
Draw ROIs, hit train, get probability maps and per-class predictions across the full scene.
Compute any spectral index at planetary scale. No scene download required.
12k+
Mines & deposits
3
Federated standards
∞
Layers stackable
Pull regional geological maps from any WFS, WMS or ArcGIS service and overlay them with our 12,000+ deposit database. Filter by commodity, mineral or rock type. Query attributes with one click.
WFS / WMS / ArcGIS proxies: Vector contacts, faults and folds plus raster geology rendered natively in the map.
Commodity filtering: Show only Cu, Au, Li, Fe oxide deposits, or any mineral / rock association.
Identify & query: Click any feature for full attribute inspection: lithology code, age, source.
Favorability grids: Convert lithology polygons and fault lines into quantitative evidence layers for prospectivity.
Slope, aspect and shaded-relief from global DEMs, plus draw-a-line cross-sections that return both an elevation profile and the lithology stack along the transect.
Point or grid lookups against AWS, Mapbox & MapTiler DEMs.
Auto-sampled at ~30 m, distance and gradient ready for export.
Lithology stacked vertically along the same transect line.
Heatmaps for terrain favorability inputs and visual reads.
From Sentinel-2 imagery we derive 50+ geological indices (gossan, iron oxides, ferric/ferrous, hydrothermal, argillic, phyllic) and match each pixel's spectral fingerprint against the USGS / FIRMS reference library to classify mineral composition directly. Run it once or watch it evolve across years of historic imagery.
Mining-first index library: Gossan, Iron Oxide, Ferric/Ferrous, Laterite, Alteration, MCAR, BSI, ARVI and more, computed live over your study area.
Spectral library matching: Pick any pixel; its 10-band fingerprint is scored against thousands of reference minerals, vegetation and soils for direct compositional ID.
Historic landcover analysis: Track how vegetation, water and surface exposure have evolved across years of Sentinel-2 imagery. Change detection per polygon, per index.
RGB composite presets: Hydrothermal, Argillic, Phyllic, Lithology, Mafic/Felsic, instantly switchable.
Custom Scene Classification: Cloud, shadow and class masks tuned for ore-bearing terrain.
Bundle imagery, indices, statistics and geometry into a named study. Track time-series. Upload your own files. Send a public link to a partner or investor. No login required on their side.
Group dates, polygons and processing outputs. Status tracking from queue to delivered.
Mean, median, std, min/max per polygon, per date, per index. Ready to chart or export.
Toggle visibility, share a URL. Recipients see results without an account, you keep your data private by default.
Attach drilling logs, GeoTIFFs and JP2s to polygons. We auto-convert JP2 → GeoTIFF for compatibility.
Comparison rectangles & polygons let you contrast dates, indices or regions in one view.
Index visualizations, statistics tables, training-data exports. Everything in formats your team already uses.
Stream camera feeds into the system for operational awareness and occupational safety. Run AI object detection, semantic segmentation and multi-object tracking on live video, place detections in real-world 3D coordinates with stereoscopic pairs, and trigger alerts for PPE, restricted zones and risky behaviors.
Occupational safety monitoring
Computer vision can detect people, vehicles, PPE compliance, restricted-zone incursions and risky behaviors, turning camera feeds into proactive safety alerts for site operations.
RTSP / ONVIF / HTTP feeds, multi-site dashboard, edge or central processing. Works with most existing CCTV cameras.
Object detection (people, vehicles, equipment, intrusion and PPE compliance) and semantic segmentation of terrain features, infrastructure and hazards.
Stereoscopic camera pairs place every detection in real-world 3D coordinates, not just 2D bounding boxes. Accurate distance, area and position for equipment tracking, intrusion mapping and slope inspection.
Multi-object tracking across frames and cameras, plus a configurable alert system routed to your incident management.
Real-time operations on the ground
Perimeter security
Equipment monitoring
Access control
Slope & tailings monitoring
Environmental compliance
Behavior anomaly detection
Use this as your map back to anything you've seen. Click any card to jump.
Where to look next, weighted by evidence.
Find every pixel that looks like this. Anywhere on Earth.
Every public map + 12,000 known deposits, on the same canvas.
50+ indices and direct mineral identification.
Read topography. Slice through geology.
Search Copernicus. Enhance to 1 meter.
TerraCroma turns AI orchestration, geospatial intelligence and enterprise-grade deployment into measurable business value.
01
AI orchestrates workflows that normally need many manual steps — from prompt to map.
From Block 01
02
Exploration evidence fused into ranked, explainable targets — calibrated, not opaque.
From Block 03
03
InSAR, AI deformation models and sensor fusion catch motion before it accelerates.
From Block 02
04
Imagery, geology, terrain, sensors, documents and cameras — one workspace, one map.
Cross-cutting
05
Private deployment, document grounding, access control and full audit trail.
From Block 01
TerraCroma turns fragmented geospatial, geological and operational data into explainable decisions.
Cambrian Intelligence SL is the company behind TerraCroma. We develop custom AI projects based on this platform, adapted to your workflows and data environment.
Use TerraCroma as the foundation for secure, domain-specific AI systems that leverage your own internal data.
Start from the platform's geospatial, document, vision and orchestration capabilities instead of building from scratch.
Bring together reports, drilling logs, GIS layers, imagery, sensor streams and operational knowledge into one governed AI workspace.
Train or adapt models, classifiers and assistants around your terminology, decision criteria and private datasets.