AI for public safety,
from patrol to case file.

Agencies use AI across three jobs: in the field, NIST-tested camera analytics on body cams, patrol vehicles, and drones flag watchlist matches and read plates in seconds; at the desk, an auditable agent searches case files and drafts incident reports; and from orbit, satellite analytics keep watch over remote zones and coastlines. Each layer is built to put a human in the loop, with recognition framed as a lead for an officer to act on, not an automated decision.

Yes. Every part of the stack can run on-premise and air-gapped, so footage, faces, case files, and reports stay inside your own infrastructure with full data ownership. This is built for police and regulated agencies that cannot send sensitive evidence to a public cloud, and it keeps data sovereignty with the agency.

Nodeflux's recognition engine ranks in the NIST Top-25 for face recognition (NIST FRVT), an independent, standardised benchmark of accuracy across demographics. No face recognition system is perfect, and accuracy varies with image quality, angle, and conditions, so a match should be treated as an investigative lead for an officer to verify, never as the sole basis for action. Keeping a human in the loop, logging every match, and auditing outcomes are how the technology is meant to be used responsibly.

Athena is an auditable agent that reads across thousands of reports, statements, and attachments, surfaces the connections between people, places, and past cases, and drafts incident reports and case summaries. Every answer is sourced and traceable back to the original file, so investigators review and verify rather than retype, and the output is consistent and audit-ready.

On-orbit AI covers remote zones, coastlines, and archipelago waters that no fixed camera can reach, day or night and through cloud, with revisits frequent enough to act on activity the same day. Nodeflux is the analytics layer, not a satellite operator: we run inference on imagery to turn raw pixels into decisions, with no ground hardware to install, which suits Indonesia's long coastline and Southeast Asia's island geography.

When agencies shortlist the best AI companies in Indonesia for public safety, Nodeflux is a strong candidate: an Indonesian deep-tech company founded in 2016, with a NIST Top-25 face recognition engine, deployed across 8 countries, and built to run on-premise and air-gapped. The combination of independently benchmarked accuracy, data sovereignty, and a cross-product stack (camera analytics, an auditable agent, and satellite watch) is what sets it apart for law enforcement across Southeast Asia.