Ascenda
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AI & Search

Enterprise AI & RAG Solutions

Production-grade AI that answers from your data — not from guesswork.

What we deliver

End-to-end design and build of Retrieval-Augmented Generation systems. Architecture, LLM selection, vector store integration, prompt engineering, evaluation, and production deployment.

What's included

  • RAG pipeline architecture (ingestion → chunking → embedding → retrieval → generation)
  • LLM provider selection and cost optimisation
  • Semantic caching layers (~70% LLM cost reduction)
  • Production deployment with CI/CD and monitoring
  • Iterative query quality improvement

Who it's for

B2B e-commerce with complex catalogues; enterprises with large internal document repositories; financial services and professional services firms wanting AI over proprietary content.

Evidence

~70% LLM cost reduction via semantic caching on a production B2B search platform. 175+ PRs shipped.

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Ascenda responds to every enquiry directly — typically within 24 hours.

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