NorthSky AERO / Platform

Built for airports.
Powered by aviation AI.

One platform across passenger experience, terminal flow, apron operations, runway safety, airside, and turnaround. One tenancy. One audit trail. AI does the work that has to happen in seconds; humans make the calls that matter.

What makes us a platform,
not a collection of tools.

◆ PLATFORM PILLARS
WHY AIRPORTS CHOOSE NORTHSKY
PILLAR 01
Built for airports.
Designed for the apron, the terminal, the airside, the runway, the tower — not retrofitted from generic enterprise software. Aviation-first products and aviation-trained models. Standards aviation runs to: ICAO Doc 9184, DGCA quarterly CSS, ACI ASQ.
How we use AI →
PILLAR 02
One customer record.
A passenger who fills a survey at the gate, raises a complaint in the lounge, and shows up on an apron exception is the same person, end to end. NorthSky unifies that record so airports stop stitching together five different systems. Modular licensing — start with one product, add the rest on the same tenancy.
See the products →
PILLAR 03
Responsible by design.
Human-in-the-loop on sensitive categories. Quarterly model evaluation. Audit trail on every automated decision. Inference inside India. No customer data is used to train shared models.
Read AI governance →

How we use AI.

◆ SEVEN CAPABILITY FAMILIES
EACH FAMILY · WHICH PRODUCT · WHICH STAGE
Family 01Multilingual NLU
Understands free-text passenger responses across 22 Indian + 25 international languages with passenger-locale auto-detection.
AeroFeedback · AeroSurvey
● Live · AAI
Family 02Multimodal complaint AI
Reasons over text, photo, audio, and video together to classify, route, and surface evidence to the right team queue.
AeroResolve · AeroFeedback
Pilot
Family 03Regulator report generation
Assembles regulator-format outputs (DGCA quarterly CSS, ACI ASQ feeds) from classified responses in hours rather than weeks.
AeroFeedback
● Live · AAI
Family 04Turn-cycle capture
Camera + sensor + edge-processing detection across the airside surface — apron events, taxi-time analytics, and runway utilisation. Three opt-in packs let customers light up the lenses they need.
ATOMS
● Ready to deploy
Family 05Runway FOD detection
Dedicated runway-side device — multi-spectral cameras + sensors + edge — detecting foreign objects down to 1–2 cm in operational conditions, with exact coordinates pushed to the safety dashboard.
AeroFOD
● Ready to deploy
Family 06Terminal & incident video
Terminal-camera analytics and searchable incident video for safety reviews and grievance redressal. Different deployment shape from the apron and runway lenses.
AeroVision
Roadmap 2026
Family 07Conversational operations
Natural-language Q&A and report generation across the operations record — for terminal heads, ops managers, and regulators.
Cross-product
Internal pilot

Stage labels match our product discipline: Live · AAI means in production at the AAI pilot today. Pilot means active customer use, not yet general availability. Roadmap means design-partner stage with planned 2026 release.

The standards
aviation runs to.

◆ ALIGNED & CERTIFYING
HONEST · SPECIFIC · CHECKABLE

◆ ICAO

Doc 9184

Airport service-excellence framework — informs reporting structures across feedback and complaints.

◆ DGCA · INDIA

Quarterly CSS

Customer-satisfaction submissions in DGCA format, on DGCA cadence — auto-generated for AAI today.

◆ DATA

DPDP Act 2023

India data hosting, named data fiduciary, consent management, audit trail by design.

◆ INFOSEC

ISO 27001

Information security management system. In progress

◆ AI MS

ISO/IEC 42001

AI management system framework. Evaluating

The full procurement detail lives in the Trust Center.

AI governance, data residency, security controls, integration interfaces, and high-level architecture — written for infosec, privacy, and IT teams. Available to share under NDA in standard questionnaire formats.

Visit Trust Center→

Outcomes from the
AAI pilot.

◆ EVIDENCE
RESULTS · NOT BROCHURE NUMBERS
AeroFeedback · AAI pilot
SURVEYOR ADOPTION
98%
Field staff on the app within the first issue cycle.
RESPONSES AUTO-CLASSIFIED
250K+
Categorised against AAI's taxonomy across 47 languages with human review on sensitive categories.
DGCA REPORT · AUTO-ASSEMBLED
~2 hr
From raw responses to regulator-ready submission — generation, not assembly by hand.
LANGUAGES SUPPORTED
47
22 official Indian + 25 international — passenger-locale auto-detection at capture.

See the AI at work
on your airport.

A 30-minute walkthrough on your real data — terminal layouts, current reporting cadence, the ask from your regulator. We bring the AI; you bring the operation.

Request a demo→ See AI across the airport