An intelligent co-pilot for every passenger, airport and regulator.
Bud AI Foundry trains, deploys, governs and serves generative AI across private, cloud and air-gapped environments. Applied to civil aviation, it puts a multilingual assistant in front of every passenger and a document-intelligence layer behind every regulator - on infrastructure the state controls.
The problem this solves
Enterprise GenAI today resembles enterprise software before SAP — dozens of fragmented tools for inference, training, guardrails, governance and orchestration, integrated by hand and maintained by whoever built them. That fragmentation is why 95% of GenAI pilots produce no measurable business impact.
Generative AI suits aviation particularly well, because the sector’s core problems are fundamentally language problems: a passenger who cannot read the signage, a complaint that nobody triages, a regulation buried in thousands of pages, a disruption nobody communicates.
Ranked by value, ROI, speed-to-deploy and public impact.
Multilingual AI passenger assistant
16,591 complaints, a broken AirSewa, no Indian-language support, and 1.44 crore UDAN first-time flyers left without guidance.
AirSewa 2.0 — AI complaint resolution
A Delhi High Court PIL, generic airline replies and no accountability. 98% of 2024’s complaint volume arrived in H1 2025 alone.
DGCA regulatory document intelligence
3,890 inspections, 352 notices and thousands of CARs searched by hand, against a 25–53% staff vacancy. Semantic search makes it instant.
Fog and disruption communication
550 flights delayed in a single day in December 2025, with no proactive multilingual alerting and passengers stranded without information.
Natural language to insights
Parliamentary questions answered manually, with no real-time analytical capability over DGCA and AAI flight operations data.
Airline safety document processing
263 violations found in a single audit. Maintenance logs, FDR records and pilot training documents all processed by hand.
Crew scheduling AI advisory
4,500 IndiGo cancellations from an FDTL compliance failure, and ₹22.68 crore in compensation in one month.
DigiYatra sovereign AI processing
61 million biometric journeys on shared infrastructure, where anti-spoofing and fraud detection need sovereign GenAI.
Air cargo documentation
India handles 3.3 MMT against Hong Kong’s 4.5 MMT, with paper-heavy customs processing as the bottleneck.
National Aviation AI Grid — federated
AAI, DGCA, BCAS, AERA and the airlines all operate siloed systems with no shared intelligence layer. A federated deployment gives each party its own control while still allowing shared learning.
From vision to value, in three phases.
Every Indian passenger gets an AI assistant in their own language
“From chappal to chatbot: India gives first-time flyers an AI guide in every language.”
Multilingual AI passenger helpdesks — speech-to-text, LLM and text-to-speech — deployed at the top 25 airports over WhatsApp, IVR and kiosks.
India’s aviation regulator becomes the smartest in the world
“DGCA goes AI-first.”
Document intelligence across every CAR, audit report and safety directive, with AI-assisted inspection workflows behind it.
The world’s first fully sovereign AI-powered aviation ecosystem
“From consumer to creator: India exports sovereign aviation AI to the world.”
Full multilingual coverage across all 157+ airports including UDAN destinations, with sovereign processing throughout.
Sovereign by construction.
Planning a national aviation AI programme?
We can walk through the phasing, the sovereignty model, and what runs air-gapped versus private cloud.