LLM Platforms & Private Models

Language models for your company — one gateway, your data kept private, costs you can see.

The challenge

Sound familiar?

Every team picks its own AI tool, keys are shared in chats, and nobody can say which documents went to which provider. Answers sound confident but are not grounded in your own data, and the monthly bill arrives as a surprise.

Our approach

What we do

  • 01

    One gateway for all models

    A single internal endpoint in front of OpenAI, Anthropic, Google and open models, with per-team keys, budgets, rate limits and request logs.

  • 02

    Answers from your data

    Retrieval over your documents, tickets and databases (RAG), so the model cites your sources instead of guessing.

  • 03

    Self-hosted open models

    Open-weight models served in your own cloud when data must not leave it, sized to the load you actually have.

  • 04

    Evaluation before release

    A set of real questions with expected answers, run on every prompt or model change, so quality is measured rather than assumed.

What you get

  • A private LLM gateway with keys, budgets and logs
  • A search-and-answer service over your own data
  • A record of which data goes to which model
  • An evaluation set that guards every change

Technologies

  • LiteLLM
  • OpenAI
  • Anthropic
  • Gemini
  • vLLM
  • pgvector
  • PostgreSQL
  • Kubernetes

Let’s talk about your project

A few lines about your situation are enough to start.