AI Factory

Shared AI infrastructure for an entire airline

15 production ML engines across 4 tiers. Governance framework. AI Center of Excellence. Anthropic-, AWS Bedrock-, and Azure OpenAI-integrated. The foundation under every AeroSuite product and available as standalone infrastructure for your own AI initiatives.

15
Production ML engines
Across 4 tiers
4
Tiers
Prediction · Intelligence · Generation · Platform
Multi-LLM
Architecture
Anthropic, AWS Bedrock, Azure OpenAI
20 weeks
Standalone deployment
Compressed roadmap

The 15 engines

Production AI capabilities used across AeroSuite products and available standalone.

Demand Forecasting

Tier 1 · Prediction · Route-level demand curves

Disruption Forecasting

Tier 1 · Prediction · 12-72h IROP forecasting (powers AeroZen)

Churn Prediction

Tier 1 · Prediction · Member and traveller attrition signals

Fraud Detection

Tier 1 · Prediction · Real-time transaction risk scoring

Segmentation

Tier 2 · Intelligence · Behavioral + value-based clustering

Recommendation

Tier 2 · Intelligence · Bundle and offer recommendation across products

Pricing Optimization

Tier 2 · Intelligence · Dynamic fare and ancillary pricing

Search Ranking

Tier 2 · Intelligence · Offer ranking in IBE results

Conversational Agent

Tier 3 · Generation · Powers Adeal in Care+ and Retail Core

Copy Generation

Tier 3 · Generation · Multilingual offer descriptions, emails, push notifications

Document Understanding

Tier 3 · Generation · Passport / visa / fare rule document extraction

Image Generation

Tier 3 · Generation · Marketing creative for campaigns

Feature Store

Tier 4 · Platform · Shared feature engineering for all engines

MLOps

Tier 4 · Platform · Model deployment, monitoring, drift detection

Governance

Tier 4 · Platform · Bias detection, explainability, audit logs

Why airlines deploy AI Factory standalone

AeroSuite uses AI Factory as its foundation. Some airlines deploy AI Factory by itself for their own AI initiatives across operations, finance, or maintenance.

Enterprise AI infrastructure

Most airlines don't need 15 individual AI vendors. They need one platform their teams can build on.

AI governance done once

Bias audits, model explainability, data lineage, regulatory compliance solved at the platform, not per project.

AI CoE included

Inspire's AI Center of Excellence engineers embedded with your team. We staff the platform with experienced ML engineers.

AI for an entire airline not project by project

AI Factory deployments range from 'we run a few AeroSuite products and need the foundation' to 'we want to consolidate every AI initiative in our airline onto one platform.' Talk to us about which scope fits.