Multi-sensor inputs
Optical time series, SAR backscatter, terrain, thermal, environmental and approved partner layers.
Decision-grade geospatial evidence
Know where to investigate first.
GroundTruth AI combines optical imagery, SAR, terrain, thermal and temporal evidence to rank where field teams should look—before expensive investigation begins.
TRL 4Validated in a controlled environment
46,689Points processed in reproducible survey runs
17 / 17Score reproductions without drift
Palestine-founded · built for institutional deployment
The decision gap
Imagery is abundant.
Decision confidence is not.
Institutions do not need another unexplained heatmap. They need a short, reviewable list of investigation areas, the evidence behind each priority, and an honest account of uncertainty.
01 · Intelligence workflow
From fragmented signals
to a defensible field plan.
Leakage-aware validation
Spatial holdouts, coordinate discipline, hard negatives and regional behavior checks expose brittle performance.
Evidence ranking
Candidate areas are ranked with confidence, environmental fit and traceable contributing signals.
Decision artifacts
GIS-ready layers, evidence tables, limitations and executive reports fit existing expert workflows.
02 · Public validation snapshot
Credibility starts by showing where a model fails.
GroundTruth AI moved beyond flattering random splits toward spatially separated and country-out evaluation. Public figures are paired with their validation regime—not presented as universal field accuracy.
Read the public validation summary ↗These results demonstrate validation maturity and reproducibility within documented regimes. They do not establish commercial accuracy for a new geography or use case. Independent field validation remains the next milestone.
03 · Mission architecture
One evidence core.
Focused operational missions.
Water & infrastructure intelligence
Narrow where inspection begins across large or sensor-sparse areas, then verify with utility, geophysical or field data.
- Ranked investigation areas
- Evidence and uncertainty trace
- Partner-ready GIS and report outputs
Environmental monitoring
Prioritize review of landscape change, heat, moisture and risk-oriented signals.
Land & engineering
Direct scarce ground-investigation capacity toward evidence-supported areas.
Cultural heritage
Support expert-led survey prioritization while protecting sensitive location data.
04 · The next proof point
A bounded, partner-led pilot.
One non-sensitive area. Frozen models and thresholds. Predictions locked before ground truth is revealed. Success measured by reduced search area, review quality and explainability—not by replacing field verification.
- 01Partner defines area & baseline
- 02GroundTruth freezes the protocol
- 03Evidence model ranks priorities
- 04Independent review tests value
05 · Review the evidence
Built for technical and
institutional scrutiny.
01 · Validation
Public validation summary
Methods, current evidence, limitations and the TRL path.
Open PDF ↗ 02 · Pilot formatSynthetic pilot report
A sample decision artifact with scope, priorities and uncertainty.
Open PDF ↗ 03 · CompanyGroundTruth overview
Platform position, operating model and partnership opportunity.
Open PDF ↗