RADZ GeoForesight AI — Real-Time Geostrategic Risk Intelligence for Subsea Infrastructure

Built in under 3 months using OpenAI models — now pilot-ready for cable operators and critical infrastructure resilience teams.

• Multi-source synthesis across vessel, geopolitical, and hazard signals
• Corridor-specific exposure and posture scoring
• Explainable drivers and decision support
• Built for critical infrastructure resilience workflows

Request Demo / Early Access See Benchmarks

Pilot-ready workflows with deterministic posture outputs and audit trails. No formal partnerships claimed.

Anonymized executive posture view

Built Fast with OpenAI

In under three months, RADZ GeoForesight AI went from concept to a working platform using OpenAI models for multi-source synthesis and decision-grade intelligence. The platform is now pilot-ready for critical infrastructure and subsea risk workflows.

Recent outreach from OpenAI regarding partnership-related programs reinforced the relevance of this approach in high-stakes vertical AI.

The Hidden Risk in Global Connectivity

Subsea cables carry 99% of international data — yet remain one of the most fragile layers of global infrastructure.

What We’re Building

Structured fusion of vessel activity, geopolitical signals, disaster alerts, and structural concentration into posture and risk tails — all governed and replayable.

Backtest Evidence

Calibration summary

• Incident replay backtests: Red Sea (2024/25), Baltic EstLink, Vietnam multi-cable, Tonga volcano
• Outputs: posture state, 30-day Cost at Risk ranges, restore-time tail estimates
• Governance: provenance labels, replayable snapshots, audit artifacts

Anonymized corridor screenshot available on request (shared in early operator discussions).

Trust & Proof Signals

• Patent-pending technology
• Built for subsea cables and critical digital infrastructure
• Multi-vector intelligence: vessel, geopolitical, hazard
• Benchmarked on corridors such as Red Sea and Baltic
• Pilot-ready workflow with explainable posture outputs
• Built by Neeraj Sood, founder of RADZ GeoForesight AI

Request Early Access or Demo

Share your use case and we’ll tailor a pilot walkthrough.

Request Demo / Early Access Pilot Inquiry

Or email: founder@radzgeoforesight.com