01 Pilot-ready geospatial intelligence

Know where to investigate before expensive fieldwork begins.

GroundTruth AI fuses satellite imagery, radar, terrain and environmental evidence to rank high-priority investigation zones—so institutions can deploy surveys and field teams with confidence.

  • Multi-sensor evidence
  • Spatial validation
  • GIS-ready outputs
Earth observation · explainable AI · expert decision support

02 The intelligence core

From fragmented signals to a defensible field plan.

A disciplined evidence engine transforms optical imagery, SAR, terrain, environmental variables and temporal change into reviewable investigation priorities.

01Ranked candidate zones
02Evidence and uncertainty layers
03GIS-ready deliverables
01 / INPUT

Ingest

Satellite, radar, terrain and contextual layers.

02 / CONTROL

Validate

Spatial separation, hard negatives and leakage control.

03 / MODEL

Rank

Confidence-aware prioritization with traceable evidence.

04 / OUTPUT

Deliver

Priority maps, polygons and technical evidence summaries.

03 Validation discipline

Built for decision reliability—not accuracy theatre.

Nearby geography can leak across conventional training and test sets. GroundTruth AI is designed around spatial separation, hard-negative learning and outputs experts can interrogate.

01

Leakage control

Coordinates and nearby regions are separated to reduce geographic memorization.

02

Hard negatives

Models face quarries, terraces, construction and other confusing landscapes.

03

Explainability

Scores remain connected to evidence, uncertainty and traceable source layers.

04

Expert review

The platform prioritizes investigation; it does not replace technical judgment.

04 One core, many missions

Focus scarce field resources where evidence is strongest.

Expansion

Environmental monitoring

Landscape change and risk-oriented inspection planning.

02
Expansion

Infrastructure & land

Prioritized ground investigation for engineering and public planning.

03
Expansion

Cultural heritage

Survey prioritization and protection workflows for expert teams.

04

GroundTruth AI supports prioritization and evidence generation. Field verification remains essential.

05 Evidence packages

See how analysis becomes an institutional decision artifact.

Sample outputs demonstrate the clarity, structure and auditability of a GroundTruth AI engagement. Demo materials are explicitly labeled and never presented as field-verified evidence.

Global city connected by satellite intelligence networks
Global operating modelPalestine-founded
Singapore scale-up pathway

06 Business / partners

Pilot locally. Integrate institutionally. Scale globally.

Ali Riyad Faraj, founder of GroundTruth AI
Founder & research lead

Ali Riyad Faraj

Leading research direction, validation methodology, product strategy and institutional partnerships.

01

Pilot projects

Defined geography, ranked targets, expert review and technical reporting.

02

Enterprise deployment

Recurring monitoring, private data, platform access and GIS integration.

03

Partner channels

Engineering, geophysical and environmental teams prioritize field operations.

Water authoritiesEnvironmental agenciesEngineering firmsResearch institutions

07 Partnerships and pilots

Turn Earth observation into a defensible decision workflow.

GroundTruth AI is seeking institutional pilot partners, technical collaborators, domain experts and pre-seed support.

GroundTruthAi@zohomail.com

Do not submit sensitive coordinates, private datasets or confidential patent material.