Nodeflux builds computer vision, AI agents, and satellite intelligence for governments and enterprises. Ten years in production. More than 100 million data points a day, across 34 provinces and 8 countries. All of it on your own infrastructure.
VisionAIre runs the detection models on your camera streams as the video arrives. Lenz is the console where operators watch what was detected, search the history, and respond. Both install on your own servers.
Ask in plain language. Athena breaks the request into steps, queries your own databases and documents, writes and runs its own code, then returns the finished report, deck, or spreadsheet. Every step it took stays open to inspection.
The detection models run on the satellite during the pass, rather than waiting for imagery to be downlinked and processed on the ground. Coastlines, borders, vessels, plantations and disaster zones are assessed within minutes of being imaged.
Pick your sector, then the scenario closest to your own. Each one names the system that runs it: VisionAIre, Athena, or Satellite.
Recognition runs on the officer's body cam and in the patrol car, not back at headquarters. The officer is told a watchlist subject just walked past while that person is still in sight, so the situation is handled on the street instead of reconstructed a week later.
The models run at the edge, so recognition keeps working when the link is weak or gone. Every detection is written down the moment it happens, with the time and the camera, ready for handover, review, and evidence.
One commander sees a whole district from the air and moves units in seconds. Live drone feeds are analysed for crowds, individuals, and movement across ground no patrol could cover in time.
Every drone in the air feeds one operations view, so the commander holds the entire picture instead of assembling it from radio calls, and tasks units directly against what is on screen.
Your alert list is checked against every camera on the network at once, around the clock. A match reaches the right operator immediately, which turns a passive recording estate into something that actually warns you.
One watchlist drives thousands of cameras, so an addition applies everywhere the moment it is made. Every match is recorded with the camera, the time, and the confidence score, so the decision can be reviewed afterwards.
Case preparation that took a week of reading takes an afternoon. Athena reads every report, statement, and attachment in the file, finds the connections buried across them, and drafts the summary.
Nothing is asserted without a source. Every line in the draft points back to the document it came from, so an investigator can check the claim before it goes anywhere near a prosecutor.
Officers stop retyping what the system already knows. Incident reports are drafted straight from the underlying records, with links to people, places, and past cases surfaced alongside them.
Because every report comes out of the same process, it comes out in the same shape. Supervisors review consistent documents, and the file is ready for court without a formatting pass.
Watch the parts of your territory no camera will ever reach. Remote zones and coastlines are monitored from orbit, through cloud and after dark, and activity is reported the same day it appears.
There is no ground hardware to install, secure, or maintain, and no local presence to arrange. Revisits are frequent enough that agencies act on what shows up rather than reading about it weeks later.
Queues get shorter and screening gets tighter at the same time. Face verification clears a traveller at the booth in seconds while the same match runs against your watchlists.
Low-risk travellers clear automatically and officers see only the exceptions. That is where the throughput comes from: attention is spent on the small number of cases that actually need a human.
A breach anywhere on the line raises the same alert, located on a map, within seconds. Drones and fixed cameras feed one detection layer covering perimeters, fence-lines, and restricted zones.
Zone rules trip the moment they are crossed rather than when somebody notices. Response teams reach the point of entry while the intrusion is still one person at one fence.
Analysts read what matters first instead of working through the pile in the order it arrived. Incoming reports and field notes are summarised and ranked automatically as they land.
The summary never replaces the source. Every ranked item carries its origin, so an analyst who wants the raw report is one click away from it and can argue with the ranking.
A briefing that reflects the last hour rather than last night's staff work. Athena pulls imagery, reports, and sensor data into one current situational picture on demand.
Because it is assembled on request, it can be reassembled. Commanders regenerate the picture as the situation moves, and every line still points back to the feed it came from.
A vessel that switches off its transponder disappears from the tracking system, not from the sky. Satellite detection finds "dark" vessels and cross-border movement through cloud and at night.
Detections are compared against declared traffic, so the gap between what is on the water and what is on the manifest becomes visible. Forces intercept while the target is still at sea instead of chasing a cold trail ashore.
Operators get the warning while it is still a crowd and not yet a crush. Density, flow, and anomalies are tracked continuously across squares, stations, and event grounds.
Thresholds are set per space, so a busy market does not alarm like a stadium concourse. When one is crossed the alert names the location and the direction of travel, not just a number.
Signals get retimed on what is actually on the road. Vehicles are counted, plates are read, and congestion is measured continuously, corridor by corridor across the network.
The control room sees an incident and the queue it is creating in the same view, so lanes are cleared and diversions are set while the jam is still forming rather than after it has set.
The same team resolves several times the caseload without adding an officer. Citizen complaints from every channel are classified, routed, and answered automatically.
Routine cases close themselves and the rest arrive at the right desk already summarised. Residents get an answer the same day instead of a reference number and a wait.
Ask once and get an answer, instead of asking five departments and waiting a week. Athena queries across department data and dashboards and returns one sourced result.
Any figure can be followed back to the system it came from, which is what makes the answer usable in a meeting where the number is going to be challenged.
Relief goes where the damage actually is. Satellite passes map the true extent of floods, fires, and land-use change across the region while the event is still unfolding.
The same ground is imaged before and after, so the change is measured rather than estimated. Agencies size the response from evidence on the first day instead of from reports on the third.
No cards to issue, lose, lend, or clone. A face match opens the door in under a second, and only for the people who are authorised to be on the other side of it.
Every entry and every refusal is written to the log automatically, with the time and the door. The access audit stops being an exercise somebody has to perform and becomes a query.
Hours spent watching a wall of monitors become one alert that says where. Fence-lines and restricted zones are watched continuously, and a crossing is detected the instant it happens.
Detection does not depend on an operator's attention at three in the morning, which is exactly when perimeters get tested. The alert carries the location, so security moves to a point rather than sweeping a site.
The missing helmet is flagged while the worker is still walking onto site, not found in a photo after the accident. Unsafe behaviour and missing protective gear are detected as they appear.
Supervisors are alerted in the moment, so the correction happens on shift. Over time the same detections build a record of where and when the site drifts out of compliance.
The answer buried in eleven years of maintenance logs comes back in seconds. Athena sits across your security, incident, and maintenance records and answers plain questions about them.
Institutional memory stops walking out with the people who hold it. A new engineer can ask what went wrong the last three times this pump failed and get an answer with the records attached.
Staff get the exact step, quoted from the actual document, in the language they asked the question in. Policies, SOPs, and audit requirements become answerable rather than merely searchable.
Because every answer cites its clause, an auditor can be shown the source in the same breath as the answer. The audit scramble turns into a search.
Lanes open before the queue builds, not after a passenger complains. Queue length, dwell time, and throughput are measured live across every hall, gate, and platform.
Staff are moved on the measurement rather than on a supervisor's walk-through. On-time performance improves because the bottleneck is visible while there is still time to relieve it.
Trucks clear the gate without stopping and the movement is recorded anyway. Plates are read automatically at gates, yards, and weighbridges.
One accurate record serves access control, security, and billing at the same time, which removes the monthly reconciliation between three systems that never quite agreed.
Controllers get the reason behind a delay in seconds, while the network can still be recovered. Athena queries operations, schedule, and incident data as one body of information.
The same question can be asked about last Tuesday, so the pattern behind a recurring delay becomes visible instead of being quietly absorbed into the timetable.
Every passenger gets an answer during a disruption, which is exactly when your staff are least able to give one. Routine queries and status updates are resolved automatically on every channel.
Staff are freed for the cases that genuinely need a person: the missed connection, the medical need, the complaint that is about to become a formal one.
See every port in the country from one screen, with no camera at any of them. Vessels, congestion, and yard occupancy are tracked from orbit at national scale.
Because the same measurement is taken at every port on every pass, the comparison between them is finally like for like, and dwell trends can be read across the whole network.
The sale you lose to an abandoned queue never shows up in your sales data. Visitors are counted and queues measured in real time, so tills open before shoppers walk out.
Conversion can finally be calculated properly, because the number of people who came in is measured rather than inferred backwards from receipts.
Put the promotion where the attention already is. Movement and dwell are mapped across the floor, so you can see which displays hold shoppers and which get walked past.
A layout change can be measured against the week before it, which turns merchandising from an argument about taste into a comparison of numbers.
Shrinkage is caught during the shift instead of discovered at the next stock-take. Suspicious activity is flagged as it happens, on the floor and at the till.
Because the flag arrives in the moment, staff can intervene with a question rather than a confrontation, and the loss is prevented rather than investigated.
Ask what is selling, what is out of stock, and why, and get the answer without building a report. Athena pulls sales, inventory, and camera data together on the question.
The camera data is what makes the answer complete: it can tell you a line stopped selling because the display was moved, not because demand fell.
Every manager opens the day with the same short list of what to do. Yesterday's sales, footfall, and stock become a handful of actions, per store, before the doors open.
One playbook runs across the estate, so a strong store and a struggling store work from the same standard rather than the same target.
Patrols go to the offender instead of searching empty sea. "Dark" vessels and illegal fishing activity are detected across national waters from orbit.
Each detection carries a position and a time, so a patrol is dispatched to a point. Fuel and sea days go into interception rather than into looking.
Prove what changed, when, and by how much. Deforestation, mining, and coastal change are tracked from orbit against imagery of the same ground months or years earlier.
The output is time-stamped evidence rather than an allegation, which is what makes enforcement possible without putting a field team onto a remote concession.
Unsafe or unauthorised activity on the dock is caught live, and everything else is still findable a year later. Camera analytics on ports, docks, and shorelines tag events automatically as they occur.
Because each event is tagged when it happens, an incident review becomes a search rather than a night spent scrubbing through recorded footage.
Every shift hands over a clear picture and nobody writes it by hand. Detections and incidents are summarised into briefing-ready notes automatically.
The summary is assembled from the logged events themselves, so the handover reflects what the systems actually recorded rather than what the outgoing officer remembered.
File the regulatory report in minutes, from data that is already there. Patrol and compliance reports are generated on demand out of operational records.
Every figure in the filing points back to the record it came from, so a challenge from the regulator is answered by opening the source rather than by repeating the work.
The national police, immigration and customs, counter-terrorism and provincial governments run these systems on their own infrastructure, in every province of Indonesia and across eight countries, alongside enterprise operators in ports, industry and retail.
U.S. NIST FRVT benchmark · 2019
In 2019 the U.S. government's NIST benchmark placed our face-recognition algorithms in the top 25 worldwide. No company from Indonesia had ever reached that tier. NIST does not take a vendor's word for anything: it runs the algorithms itself, on its own sequestered data, against everyone else's.
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Tell us the operation you want to change. We'll show you the system running against it, what it detects, and exactly what deploying it inside your own infrastructure involves.
