An AI layer that gives every passenger, airport, airline, and regulator an intelligent co-pilot. Running on private sovereign infrastructure, multilingual, under complete government control.
Bud AI Foundry is a unified, end-to-end platform that enables organisations to train, deploy, govern, and consume Generative AI models and agents — across private, cloud, and air-gapped environments. It is the only platform that integrates every layer of the GenAI stack into a single, silicon-agnostic system.
Enterprise GenAI today resembles enterprise software before SAP — dozens of fragmented tools (inference engines, gateways, guardrails, observability, training platforms, agent frameworks) that must be manually integrated for every new use case. This fragmentation causes performance drops, TCO disasters, brittle systems, accuracy reduction, and massive technical debt.
95% of enterprise GenAI projects fail. Bud Foundry eliminates this fragmentation by providing one stack for everything.
Generative AI is uniquely suited to aviation's challenges because the sector's core problems are fundamentally language, document, and communication problems.
| GenAI Capability | Aviation Problem | What It Enables |
|---|---|---|
| LLM (Large Language Model) | Manual complaint handling, regulatory Q&A, crew rostering logic | Intelligent complaint resolution (AirSewa 2.0), regulatory compliance assistant for DGCA, AI-powered crew scheduling advisory for airlines |
| TTS (Text-to-Speech) | English-only announcements at airports, no proactive voice updates | Real-time multilingual voice announcements in 15+ Indian languages at 150+ airports. Proactive voice calls to passengers during disruptions |
| STT (Speech-to-Text) | No voice-based complaint or query system in Indian languages | Voice-first AI helpdesk in Indian languages via phone/WhatsApp. First-time flyers from UDAN routes can simply speak their queries |
| Embedding + RAG | 3,890 inspections, 352 notices, 1000s of CARs — all manually searched | Instant semantic search across all DGCA circulars, CARs, safety directives, audit reports |
| Document Models | Paper-heavy licensing, airworthiness certification, maintenance logs | Automated document processing for licensing applications, maintenance record analysis, airworthiness compliance verification |
| NL-to-SQL / Insights | No real-time analytical capability on flight data, delay patterns, pricing | Natural language queries on DGCA databases — instant answers for Parliament questions, policy decisions |
Ranked by Value, ROI, Speed-to-Deploy, and Public Impact
16,591 complaints, broken AirSewa, no Indian language support, 1.44Cr UDAN first-time flyers stranded. Deploy STT+LLM+TTS helpdesks via WhatsApp, IVR, and kiosk.
Delhi HC PIL, generic airline replies, no accountability. 98% of 2024 complaints received in just H1 2025. AI-powered resolution that actually works, in 15+ languages.
3,890 inspections, 352 notices, 1000s of CARs manually searched. 25-53% staff vacancy. Instant semantic search across all regulatory documents.
550 flights delayed one day Dec 2025. No proactive multilingual alerts. Passengers stranded without info. Real-time LLM+TTS communication system.
Parliament questions answered manually. No real-time analytical capability on flight ops data. Natural language queries for instant policy decisions.
263 violations found in single audit. Maintenance logs, FDR records, pilot training docs processed manually. Automated document analysis.
4,500 IndiGo cancellations from FDTL compliance failure. ₹22.68Cr compensation in one month. AI advisory to prevent cascading cancellation events.
61M biometric journeys on shared infrastructure. Anti-spoofing, fraud detection needs sovereign GenAI. Secure processing layer for biometric data.
India handles only 3.3 MMT vs Hong Kong 4.5 MMT. Paper-heavy customs processing is the bottleneck. AI-powered documentation processing.
AAI, DGCA, BCAS, AERA, airlines all operate on siloed systems. No shared intelligence layer. Federated GenAI connecting all aviation stakeholders.
From Vision to Value: A 3-Phase National Deployment
Deploy multilingual AI passenger helpdesks (STT + LLM + TTS) at top 25 airports via WhatsApp, IVR, and kiosk. Launch AirSewa 2.0 — AI-powered complaint resolution that actually works, in 15+ languages. Deploy DGCA Regulatory Intelligence Assistant for instant compliance search.
DGCA goes AI-first: Document intelligence across all CARs, audit reports, safety directives. AI-powered airline health monitoring and compliance scoring. NL-to-Insights on all DGCA operational data for real-time policy decisions. Smart airport GenAI layer for fog communication, crowd management, energy optimisation at 50+ airports.
Full multilingual AI coverage across all 157+ airports including UDAN destinations. Sovereign AI processing layer for DigiYatra biometric data. National Aviation AI Grid: federated GenAI connecting AAI, DGCA, BCAS, AERA, and all carriers. India exports its Aviation AI stack to ICAO Asia-Pacific partners.
Fully air-gapped, on-prem, or private cloud. Data never leaves your infrastructure. Opensource version available for full auditability.
Runs on Nvidia, AMD, Intel, Qualcomm — even CPUs. Mitigates chip bans, supply shortages. Start with existing CPU servers, scale to GPUs.
2.4x–6x TCO improvements. Run guardrails on commodity CPUs at 100x better perf (vs A100 GPUs) with same accuracy.
Support for Indian languages with optimised models for citizen-facing, multilingual GenAI services. Perfect for UDAN first-time flyers.
Begin with a single server. No AI team needed. Bud's enablement team ensures outcomes from Day 1.
End-to-end tools for AI development AND for everyday users to consume AI safely. From developers to passengers.
One stack for multi-modal inferencing (LLM, TTS, STT, Embedding, Vision, Document models), scaling, middleware, observability, evaluations, guardrails, governance, and tools.
Enterprise model training platform supporting 120+ model architectures, PEFT/DEFT/post-training/agentic training, and data processing pipelines.
A personal AI assistant for every employee/citizen. Creates personal agents, agentic workflows, and augmentation plans with multi-level guardrails.
An AI consumption layer for every user — consume models, build agents, share with others. Available as desktop app, terminal, VS Code extension, and web UI.
Converts existing enterprise software, APIs, and workflows into Model Context Protocols (MCPs) without coding. Makes any organisation GenAI-ready from Day 1.
Zero-trust security, governance, and compliance framework. Custom guardrail policies, model weight security, RBAC, observability, and compliance monitoring.
Partner with Bud to deploy India's first fully sovereign AI-powered aviation ecosystem. From passenger assistance to regulatory compliance — one unified platform.
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