Seven products.
One platform.
Each product is independently licensable and shares the same tenancy, identity, audit, and reporting layer. Start with the one your regulator is asking for; add the rest when ready.
AeroFeedback
The passenger-voice platform. Survey engine, nine intake channels (QR, kiosk, surveyor app, web, mobile, WhatsApp, SMS, email, IVR), 100+ languages (every official Indian + most major world languages), AI categorisation, complaint-loop integration, and DGCA-quarterly reporting in ~2 hours. Capability ladder — start with the instrument, add the regulator pack, the complaint loop, and operational triggers as you need them.
Open AeroFeedback →9 channels
QR, kiosk, surveyor app, web, mobile SDK, WhatsApp, SMS, email, IVR — every channel on one engine.
47 languages
100+ languages — every official Indian + most major world languages — with passenger-locale auto-detection and reviewable translations.
AI categorisation
Free-text classified against your taxonomy; multimodal complaints; human-in-the-loop for sensitive items.
DGCA quarterly
Regulator-format CSS produced in ~2 hours; ACI ASQ feeds; per-edit audit log.
AeroResolve
The intelligent complaint platform for airport passenger operations. Six intake channels — QR with live photo/video/audio capture, kiosk, mobile app, web widget, AI chatbot, email/SMS/WhatsApp. Five AI models understand category, priority, sentiment, location, and routing. Multi-org assignment (airport, handler, concessionaire, security), real-time SLA monitoring, operational-intelligence dashboards for duty manager, CEO, and regulator. Audit-ready by construction.
Open AeroResolve →6 channels
QR with live capture (photo/video/audio), kiosk, mobile app, web widget, AI chatbot, email/SMS/WhatsApp — every channel on one engine.
5 AI models
Category, priority, tagging (location/language/modality), sentiment, multi-org routing — five models in parallel against every complaint.
SLA monitored
Per-category SLA timers configurable per airport. Auto-escalation at 50% / 80% / breach. Multi-org routing — airport, handler, concessionaire, security.
3 dashboards
Duty manager sees the trend forming. CEO sees the cause behind the CSAT score. DGCA inspector sees the audit log written by construction.
AeroGround
Apron, stand, and gate monitoring. AI on top of cameras, sensors, and edge compute captures every turnaround event while the aircraft is on stand — chocks, aerobridge, fuelling, catering, baggage, cleaning, pushback — plus real-time apron FOD, GSE positioning, and ramp safety. Events stream into ATOMS. Three-way transparency across airport, airline, and ground handler. Powered by the AeroVision video-AI spine.
Open AeroGround →15+ turnaround events
Chocks, aerobridge, fuelling, catering, baggage, cleaning, pushback — every event time-stamped at the edge with evidence and confidence.
Real-time apron FOD
Continuous fuel-spill and small-object detection on the stand — before the next aircraft rolls in.
Three-way transparency
Airport, airline, and ground handler each see their view of the same record. Same time-stamps, same evidence, audit-ready.
Events into ATOMS
TURNAROUND_MILESTONE, TOBT_VARIANCE_PREDICTED, APRON_FOD_DETECTED, RAMP_SAFETY_VIOLATION — gate-to-gate operating record.
ATOMS
The operating brain of the airport AOCC. Senses every event (apron, taxi, runway, FOD, video, passenger), fuses them on one clock, runs the AI that turns events into decisions, dispatches advisories, and writes the audit-ready operating record. Basic ATOMS is the turn-cycle skeleton; AeroGround, AeroTaxi, AeroRunway, and AeroFOD each publish their own event stream onto the ATOMS bus.
Open ATOMS →Apron events
15+ turnaround events per stand, apron FOD, GSE positioning — published into the ATOMS record by AeroGround →
Taxi events
VTT, TSAT advisories, congestion hot-spots, and per-flight fuel saved — published into the ATOMS record by AeroTaxi →
Runway-ops events
ROT, throughput, sequencing gain, configuration recommendations, utilisation reports — published into the ATOMS record by AeroRunway →
Airfield FOD events
FOD_DETECTED + FOD_CLEARED_NO_CLOSURE across runway, taxiway, and apron — published into the ATOMS record by AeroFOD →
AeroTaxi
Airfield-movement optimisation. Fuses surface-movement radar, MLAT, A-CDM milestones, and the ATOMS turnaround stream — and lets the AI surface congestion hot-spots, predict per-flight taxi time, and nudge pushback so each aircraft meets the holding point at the gap, not the queue. 10–20% taxi-time reduction, fuel saved and CO₂ avoided shown alongside the events streamed into ATOMS.
Open AeroTaxi →10–20% taxi-time cut
Operating outcome characterised during commissioning. Hundreds of tonnes of CO₂ avoided per day at a large hub.
Per-flight VTT
Variable taxi-time predicted before pushback for every gate–runway pair, with a confidence band, published to ATOMS and the airline.
TSAT advisor
30–90 s pushback nudge so the aircraft meets the next departure gap — small enough to absorb, large enough to mean no fuel burned in queue.
Events into ATOMS
VTT_ISSUED, TSAT_ADVISORY, CONGESTION_HOT_SPOT, FUEL_SAVED_FLIGHT — same bus, one operating record gate-to-gate.
AeroRunway
Runway-operations monitoring, throughput, and optimisation. Fuses A-CDM milestones, the ATC clearance log, surface radar, runway-end optics, AeroTaxi pushback events, AeroFOD detections, weather, and friction — predicts ROT per movement, recommends configuration changes ahead of the wind, optimises sequencing for wake-category gain, and reports delivered vs declared. +2–4 movements per hour recovered; events streamed into ATOMS.
Open AeroRunway →+2–4 movements/hour
Throughput recovered from the gap between declared and delivered capacity — characterised during commissioning against your baseline.
Predicted ROT
Runway-occupancy time published per movement before short final, with a confidence band — for dispatch, OTP, and the airline's block-fuel decision.
Config recommended
Runway flip proposed twenty minutes ahead of the wind, with a queue-cost estimate — the watch manager decides; the AI assembles the option.
Events into ATOMS
ROT_RECORDED, SEQUENCING_GAIN_AVAILABLE, CONFIG_CHANGE_PROPOSED, FOD_CLEARED_NO_CLOSURE, UTILISATION_REPORT_DAILY — gate-to-gate-and-back.
AeroFOD
Airfield foreign-object detection across runway, taxiway, and apron — in three deployment modes: a mobile sensor vehicle that sweeps the airfield, fixed pole-mounted units alongside the runway and at every taxiway intersection, and stand-mounted units over the apron. 1–2 cm detection with exact coordinates. One dispatcher console. One audit trail.
Open AeroFOD →Three zones
Runway, taxiway, and apron — one product line, one taxonomy, one console. The fastener caught on the taxiway is the upstream signal for the runway it would have ended up on.
Three deploy modes
Mobile sensor vehicle for day-one value with no civils. Fixed airside poles for always-on watch. Stand mounts for pushback-discipline. Start where the pain is sharpest; layer the rest later.
1–2 cm detection
Smallest objects detected in operational conditions — fasteners, fragments, tyre shred — across every zone. The size class that costs the most damage.
Safety-system alignment
ICAO Annex 14 and DGCA safety-event aligned. Evidence retained for review. Integrates outbound to your existing safety dashboard, radio, and incident-management system.
Build the suite that
fits your airport.
Most customers start with AeroFeedback. We can map the rest to your roadmap on the same call.