AI Platforms & Private LLM

Private LLMs, RAG systems, and production AI workflows with evaluation baked in. For teams where data sovereignty and audit trails aren’t optional.

Your data stays inside your boundary.

The questions legal and security teams ask, answered before the first sprint.

  • Models run in your cloud account or on-premises
  • Your data is never used to train third-party models
  • Evaluation gates before every model change
  • Full logging of prompts, sources and outputs

Why teams call us.

Most AI pilots stall between demo and production. Legal and security teams ask where the data goes, nobody can measure answer quality, and results change after a model update.

Today

Pilots that never pass security review

With Bilions

Models run inside your environment, which security can approve

Today

No reliable way to tell whether answers are correct

With Bilions

An evaluation suite built from your real questions

Today

Cost and quality shift every time the model changes

With Bilions

Eval gates block any change that lowers quality

The path from your documents to a trusted answer.

  1. 1

    Your data

    Documents, tickets and records stay in your cloud.

  2. 2

    RAG & knowledge systems

    Answers grounded in your documents, with sources shown.

  3. 3

    Evaluation harnesses

    Test suites built from your real questions and expected answers.

  4. 4

    Private model

    Models that run inside your cloud account or data center.

  5. 5

    AI ops & governance

    Monitoring, access controls and usage reporting.

  6. 6

    Drift detection & eval gates

    Changes that lower quality are blocked before release.

An engineer walking down a private data center aisle between server racks

Who we build this for.

  1. 01

    Enterprises with sensitive data

    Healthcare, insurance and finance teams that cannot share data externally.

  2. 02

    Public agencies

    Exploring AI with the controls procurement expects.

  3. 03

    Product teams

    Adding AI features that customers can trust.

Questions we hear often.

Not answered here? Ask an engineer

Can the model run inside our own environment?

Yes. We deploy private models and retrieval inside your cloud account or data center, so your data stays within your boundary.

How do you measure AI quality?

We build an evaluation suite from your real questions and expected answers, then run it on every change. A change that lowers the score does not ship.

Which models do you use?

OpenAI, Anthropic and open models such as Llama. We choose based on your data rules, cost and accuracy needs.

Sanket Panchal, Product OwnerViraj Dasondi, Director of Software DevelopmentMalhar Desai, Director of Operations & Delivery

Your first call is with a senior engineer from our team.

Talk to an engineer who has built this before.

We listen to your problem, ask the right questions and tell you honestly whether we can help. If we can’t, we will point you to someone who can.

Prefer email? Write to care@bilions.co and a senior engineer will reply within one business day.