Framework · CORE-AI

CORE-AI
Building LLM, RAG & GenAI stacks

The platform layer that keeps GenAI honest.

What it is

CORE-AI is how we build the production stack under every agent: model gateways, retrieval pipelines, evaluation harnesses, serving, caching and cost control. One coherent platform instead of a pile of proofs-of-concept — so the tenth use case ships faster than the first.

What you get

Reference architecture

A model-agnostic GenAI platform design fitted to your cloud and security posture.

Production RAG pipelines

Ingestion, hybrid retrieval, reranking and groundedness evaluation.

Eval & cost discipline

Regression evals on every change; token and latency budgets enforced in CI.

How it works

01

Architect

Select models, retrieval strategy and serving topology for your constraints.

02

Build

Stand up the platform with evaluation and observability from day one.

03

Industrialize

Templates and paved paths so new use cases onboard in days.

Works best with: AGENTX and DATANODE.

Let’s talk outcomes

Let’s build systems that think, act and evolve.

Start with a conversation about a use case, a framework fit, or a private DEXA briefing. US · UK · India.