Critical infrastructure security,
on your own infrastructure.

AI perimeter intrusion detection runs computer vision on fence-line and restricted-zone cameras to flag a real intrusion the instant a boundary is crossed, then locates it for the response team. Because the model classifies what it sees (a person versus an animal, blowing debris, or shadows), it suppresses the nuisance triggers that plague motion-only and beam sensors. Operators get a single actionable, located alert instead of hours of passive camera-watching, which cuts false alarms and speeds response.

The recognition engine, the face templates, and the entry logs all run on hardware inside your own facility, with no dependence on an external cloud. The whole stack can run on-premise and even air-gapped, so biometric data and access records never leave your network. That keeps data ownership and residency with the operator, which matters for regulated critical infrastructure.

Yes. The analytics layer runs on the camera feeds you already have on site, so detecting missing hard hats, vests, and unsafe behaviour does not require new specialist hardware. When a rule is broken the system alerts a supervisor in the moment rather than after an incident, which reduces accidents, downtime, and liability.

Yes. Nodeflux face recognition has been independently benchmarked in the NIST Face Recognition Vendor Test (FRVT), placing among the global top-25. For access control that matters because an independent accuracy benchmark, rather than a vendor's own claim, is what tells you the engine will admit the right people and reject the wrong ones reliably at the gate.

Athena reads across your security, incident, maintenance, and SOP records and answers a plain-language question by pulling from those documents. Every answer carries a citation back to the exact record it came from, so an operator can verify a claim instead of trusting a black box. The assistant runs on-premise and can be air-gapped, so sensitive operational data stays inside the facility.

Nodeflux is a Jakarta-based Indonesian deep-tech AI company founded in 2016, with face recognition ranked among the NIST FRVT global top-25 and systems deployed across 8 countries. For critical infrastructure it pairs NIST-tested computer vision (perimeter, access, PPE) with an auditable, on-premise Athena assistant on top, all deployable on-premise or air-gapped so data ownership stays with the operator. That combination of independently benchmarked CV and a sourced ops assistant is its defensible edge across Indonesia and Southeast Asia.