Introducing Turqoa: AI-Native Security Infrastructure for Ports
Today we are publicly introducing Turqoa: an AI-native security decision platform built specifically for port and maritime operations.
The Problem
Port security today runs on fragmented tools. Gate operations use one system. Terminal surveillance uses another. Perimeter detection feeds into a separate alarm panel. Maritime vessel tracking lives on yet another screen. Each system produces its own data in its own format, monitored by its own operator.
The result is an operational environment where the most critical capability — the ability to make fast, accurate security decisions informed by all available data — is the hardest thing to do. Operators switch between screens. Analysts manually correlate events across systems. Security officers reconstruct incidents from scattered logs.
This fragmentation is not a technology problem that existing vendors have failed to solve. It is an architectural problem that requires a different starting point.
What We Are Building
Turqoa is a single platform that unifies the core functions of port security into one auditable decision layer.
Gate OS. Autonomous gate decisions for container terminals — container code OCR (ISO 6346), license plate recognition, chassis identification, damage detection, and seal verification. The system reads, matches, decides, and logs in under 18 seconds for high-confidence transactions.
Terminal Security. Unified surveillance across all terminal zones — berths, yard blocks, gate complexes, administrative areas — with AI-powered anomaly detection and automated alarm classification.
Drone Verification. Integration with drone-in-a-box systems for automated alarm response and perimeter patrol. Operator-supervised, not autonomous — the human remains in the decision loop.
Maritime Threat Layer. Vessel tracking and threat detection that goes beyond AIS, correlating radar, satellite, and sensor data to produce a fused maritime picture for port approach zones.
Decision Engine. The layer that ties everything together. Configurable rules, machine learning models, and operator workflows that produce decisions which are explainable, auditable, and improvable over time.
Why Now
Three things have converged to make this possible. Computer vision models have reached the accuracy thresholds required for autonomous operation in constrained environments. Cloud and edge compute costs have dropped to the point where real-time inference at every gate lane and camera position is economically viable. And the regulatory and operational pressure on ports to improve security while maintaining throughput has made the status quo untenable.
Our Approach
We are building for high-consequence operations. This means every decision the platform makes is logged with the evidence that informed it. Operators can always see why the system made a particular recommendation. Audit trails are complete by default, not constructed after the fact.
We are building for integration. Ports run on Terminal Operating Systems, port community systems, and vessel traffic services. Turqoa is designed to plug into these ecosystems, not replace them.
We are building for the operators who actually use the system. A security platform that is powerful but unusable is not a security platform. Every screen, workflow, and notification in Turqoa is designed around the operational reality of 24/7 port security teams.
What Comes Next
We are currently working with initial port partners to deploy and refine the platform in live operational environments. We will be sharing more about our technology, our approach, and our results in the months ahead.
If you operate a port or terminal and want to learn more, reach out at hello@turqoa.com.