Solutions / Oracle

Oracle Database

A well-run Oracle Database is the quiet foundation under most of an enterprise estate — and, increasingly, it is also the backend for AI applications built with data already inside it.

Services

What we do around the database

Performance tuning

Diagnose and resolve real production bottlenecks, from query plans to storage.

Data modelling

Structures that stay maintainable as reporting and integration requirements change.

High availability

Backup, recovery and resilience design matched to recovery-time objectives.

AI Vector Search

Semantic search and embeddings stored and queried directly inside the database.

Enterprise RAG backends

Secure, access-controlled grounding data for retrieval-augmented AI applications.

Upgrades & migration

Version upgrades and platform moves planned around minimal downtime.

Database + AI

The data does not need to move to be useful for AI

AI Vector Search lets you build retrieval-augmented applications directly against data already governed by the database, without exporting it to a separate vector store.

AI Vector SearchEmbeddings pipelinesRAG backendsHybrid searchAccess-controlled retrievalLLM integration

Why MCS Soft

Database work that respects the applications on top

Tuning, modelling and upgrade decisions are made with EBS, Fusion, APEX and integration workloads in mind — not in isolation from what actually runs on the database.

Next step

Have a performance issue or an AI idea grounded in your own data?

Bring us the database and the problem. We will tell you what is realistic.