Skip to main content

Enterprise AI Engineering

Custom AI Engines
& RAG Architecture

Moving beyond “wrapper apps”. We build production-grade AI systems that own your data, not rent it.

While others sell chatbot integrations, we architect the infrastructure layer: vector stores, retrieval pipelines, private model deployments, and autonomous agents.

System Architecture

What We Actually Build

INPUT

Your Data Sources

Documents, databases, APIs, knowledge bases

PDFsSQLREST APIsS3
PROCESS

Intelligence Layer

This is what we build. Custom retrieval, embedding pipelines, and orchestration logic.

Vector Store

pgvector / Pinecone

LLM Layer

vLLM / Claude API

Orchestration

LangChain / Custom

OUTPUT

Production Results

Grounded answers, autonomous actions, workflow execution

API ResponsesCRM UpdatesDocument Generation
01 / THE PROBLEM

Standard AI models do not know your business. They hallucinate because they lack context about your documents, processes, and domain knowledge.

Context-Aware Retrieval Systems

Advanced RAG

We build vector databases and retrieval pipelines that ground AI responses in your actual data. Custom embeddings, chunking strategies, and retrieval logic tuned for your specific use case.

The Deliverable

A Private Oracle for your internal knowledge

Tech Stack

Vector DBsEmbeddingsHybrid SearchRe-ranking
02 / THE PROBLEM

Sending sensitive financial data, customer PII, or proprietary IP to OpenAI or Anthropic is a compliance and security risk your legal team will not approve.

Local & Private Model Deployment

The Security Play

We quantize and deploy open-source models (Llama, Mistral, Qwen) on your own VPC or on-premise infrastructure. Full control over your inference layer.

The Deliverable

Zero-Data-Leakage AI Infrastructure

Tech Stack

vLLMOllamaQuantizationGPU Orchestration
03 / THE PROBLEM

Chatbots just talk. They answer questions but cannot take action. Your operations need AI that executes multi-step workflows autonomously.

Agentic Workflows

Beyond Chatbots

We build AI agents that can read emails, query databases, update CRMs, draft documents, and coordinate across systems. Reliable execution with human-in-the-loop guardrails.

The Deliverable

Autonomous Loops for Operations

Tech Stack

Tool CallingMemory SystemsOrchestrationGuardrails

Anti-Commodity Positioning

What We Don't Build

Generic support chatbots

Use Intercom, Zendesk AI, or Freshdesk. These are commodity products.

“Prompt engineering” workshops

YouTube is free. We build systems, not slide decks.

Thin wrappers around OpenAI APIs

Any developer can call an API. We build the infrastructure around it.

We build assets—proprietary code, custom pipelines, and production infrastructure that add value to your company's IP. Not temporary fixes that disappear when the vendor changes their pricing.

Is This Right For You?

Good fit if:

  • You have proprietary data that makes generic AI useless
  • Security/compliance prevents using third-party AI services
  • You need AI that takes action, not just answers questions
  • Engineering team exists but lacks AI/ML expertise

Not a fit if:

  • You just want a chatbot on your website
  • No internal engineering capacity to maintain systems
  • Looking for a quick demo without production intent
  • Need off-the-shelf solutions, not custom architecture

Ready to build real infrastructure?

Skip the discovery call theater. Send us your architecture problem and we will tell you if we can help.

Describe Your Problem

Or email directly: ai@inuxo.com