One engine — two mandates

Seefirst.
Understandfaster.

Sensor fusion and agentic reasoning for defence situational awareness and state civilian government operations — one platform, scoped to who you serve, with a human in the loop on every call.

AOI COVERAGE
0 SECTORS
LIVE CONTACTS
0 UNMATCHED
DISCIPLINE
GEOINT · IMINT · MDA
BUILD
SARVETRA 2026.09
The sensing layer, by domain
01 — Sea

Maritime

Dark-vessel detection, AIS cross-reference, approach-lane loitering patterns.

02 — Land

Terrain

Viewshed, line-of-sight, border infrastructure change over time.

03 — Air

Airspace

Track correlation against flight plans, uncorrelated emitter flags.

04 — Space

Orbital

SAR and optical tasking, the sensing layer everything else fuses from.

01 — Border · Maritime · Terrain

Defence

Sensor fusion and agentic intelligence for border, maritime, and terrain awareness — dark-vessel detection, viewshed, and change detection on a single operating picture.

02 — Land · Disaster · Infrastructure

Civilian

State & Civilian Government

Cross-department fusion for state government — land, disaster, agriculture, and infrastructure, speaking each department's own language.

Same tool, five departments' language
Agricultural parcels at dusk
Revenue — boundary drift
Tropical Cyclone Mandous
Disaster — flood extent
Open-pit mine at blue hour
Mining — excavation
Dam and reservoir at blue hour
Infrastructure — reservoir
Forest canopy with new clearing
Forest — encroachment
What Sarvetra actually does

Six stages, one engine, every screen auditable.

● Live loop
01Sense

Every signal starts here.

SAR, AIS, satellite, drone, and radar feeds land in the same place, unfiltered — the raw sensing layer everything downstream fuses from.

● Live loop
02Fuse

One picture, not six dashboards.

Multi-source tracks are correlated into a single operating picture per AOI. Every light in this frame is a real signal, fused, not six separate tools left open in six tabs.

03Reason

The agent reads the terrain, not just the pixels.

Agentic reasoning cross-references context an image alone can't give you — prior passes, known baselines, infrastructure layers already on record.

04Score

Confidence, calibrated against outcomes.

Every finding gets a number that means what it says — calibrated against what actually happened, never raw model output dressed up as certainty.

● Live loop
05Approve

A human decides. Always.

Findings above threshold sit in a queue until someone signs off. Reject without a reason isn't an option — the audit trail expects one either way.

06Respond

Drafted, not just detected.

SITREPs, department briefing notes, voice-narrated alerts, GIS-ready exports — the agent drafts the response, a person still sends it.

Multi-INT fusion

GEOINT, IMINT, and MDA live today. SAR, AIS, satellite, drone, and radar joined on one canvas.

Human-in-the-loop, always

The agent is a convenience layer, never the only way in. Every screen keeps a manual, auditable path.

Calibrated, never raw

Confidence scores are calibrated against outcomes — never shown as if raw model output were probability.

GEOINTIMINTMDAMASINTSIGINTELINT