Platform overview
AGENTIC AI LAYER

Recursive Agent Network

Specialized agents that collaborate, review, and improve.

A network of specialized agents — mission planning, satellite vision, geospatial reasoning, research, prediction, quality assurance, and governance — that hand work to one another, review each other’s outputs, and refine results before anything reaches a human.

How it works

From input to governed output

1
STEP

Plan

A planning agent decomposes a mission into tasks and assigns them to the right specialist agents.

2
STEP

Execute

Vision, geospatial, and research agents carry out their tasks over analysis-ready data.

3
STEP

Review

A QA agent checks outputs for consistency and flags low-confidence results for another pass.

4
STEP

Govern

A governance agent enforces checkpoints and routes the final recommendation to a human for approval.

Capabilities
Role-specialized agents
Agent-to-agent review
Recursive self-improvement loops
Confidence-aware escalation
Versioned agents & models
Governance checkpoints
What it produces
Reviewed analysesConfidence-scored findingsEscalation recordsGoverned recommendations

By design. Autonomous agents propose; humans approve. Every consequential action passes through a human checkpoint.

See it applied to your mission

Explore how this fits an end-to-end program, or talk to our team about a pilot.