What it is
Reference architecture + implementation services on foundation models + vector retrieval, with hybrid retrieval as the production default.
Make money for the customer
- 15-50% conversion lift on discovery-driven SaaS/e-comm (Bain, McKinsey, Algolia benchmarks)
- Revenue from previously-unfindable long-tail inventory now reachable
- Premium tier and pricing power from “AI-powered search” as a customer-facing feature
Save money for the customer
- Avoided $1-2M/year DIY search team vs $60K-$150K implementation engagement
- Reduced support load + self-service rate uplift
- AWS spend efficiency built in (hybrid retrieval, smart foundation-model and retrieval routing); no third-party vendor fees
Customer proofs
Yaapt, Legal-tech, Real-estate intelligence
AWS service surface
Capability: foundation models, embeddings, knowledge bases, vector retrieval, document intelligence, serverless compute, object storage
AWS strategic angle
Drives foundation-model + vector-retrieval + knowledge-base consumption