Polar Bear Data

AI & Private Cloud Implementation

Your AI. Your cloud. Your rules.

We build custom AI, chatbots and full LLM implementations, that live inside your private cloud and are grounded in your own systems and data. No Claude or ChatGPT frontend. No sending your data to someone else's servers. No hallucinated answers about your business, because the AI only ever answers from what's actually true in your ecosystem.

Talk to us about your use case

Off-the-shelf AI vs. AI built for your business

General-purpose chat tools are great for general questions. They're the wrong fit once your team needs answers about your business specifically.

Public AI frontends

  • Your data leaves your systems to answer a question
  • Answers are generic, or confidently wrong about your business
  • No real connection to your internal tools or records
  • Your team lives in yet another browser tab

Private cloud AI, built by us

  • Runs inside your own private cloud, your data stays yours
  • Answers are grounded in your actual systems and documents
  • Connects directly to the backend you already run
  • Lives where your team already works: Slack or Teams

Two ways to bring this into your business

Some teams just want a smart assistant where they already chat. Others need a full private AI layer wired into everything they run. We build both.

Chatbots

AI chatbots for Slack & Teams

A custom AI assistant that lives directly inside the chat tools your team already uses every day, answering questions, pulling data, and handling requests without anyone opening a separate app.

  • Trained on your company's own documents, policies, and data
  • Native Slack or Microsoft Teams integration
  • Can trigger real actions in your other systems, not just answer questions
  • Access controls that match your existing permissions
Private Cloud LLM

Full private-cloud AI implementation

A complete AI layer deployed inside your own private cloud, built to work directly with the backend systems your business already runs, custom-built or off the shelf.

  • Deployed in your private cloud (AWS, Azure, GCP, or on-prem)
  • Grounded in your own data, not the open internet
  • Integrates with the same systems your website already connects to
  • No dependence on a third-party chat frontend

How we cut down hallucinations

The AI doesn't guess. It looks up the answer in your own systems first, then responds.

1

Your data, indexed

We connect the AI to your real documents, databases, and systems, the same sources your team already trusts.

2

Question comes in

A team member asks something in Slack, Teams, or wherever the assistant lives.

3

Retrieval, not guesswork

The AI retrieves the relevant facts from your systems before it ever generates a response.

4

Grounded answer

The response is built from what's actually true in your business, with a clear source behind it.

Works with what you already have

Built on your existing ecosystem.

Whether your backend is a well-known platform or something your team built in-house, we design the AI layer to sit on top of it rather than replace it.

  • Home-built systems, through the same secure API patterns we use for website integrations
  • Off-the-shelf platforms like your CRM, ERP, or ticketing system
  • Existing databases we've already built or connected to your site
  • Your current cloud provider and security requirements
AI implementation architecture

Two ways to keep your AI private

"Private" can mean different things. Here's the distinction, so you know exactly what you're getting.

Most common

Private endpoint

You use a leading model (like Claude or GPT) through a private, enterprise-grade connection inside your own cloud account. Your data isn't used to train the model and never touches a public chat interface.

  • Fastest to deploy, usually weeks, not months
  • Lower cost, no dedicated hardware to buy or manage
  • Access to the most capable models available today
  • Still fully grounded in your own systems and data

Best for: most businesses that want privacy and control without the overhead of running their own infrastructure.

For hard requirements

Fully self-hosted model

An open-weight model runs entirely on your own infrastructure. No calls to any outside provider at all, ever. The strongest privacy guarantee available, at a real infrastructure and maintenance cost.

  • Complete data sovereignty, nothing ever leaves your environment
  • Meaningful hardware and DevOps investment to run well
  • Makes the most sense at high, sustained usage volume
  • Often driven by compliance rather than cost savings

Best for: healthcare, finance, legal, or government-adjacent businesses with strict data-residency requirements.

Curious what this looks like for your business?

Tell us what systems you're running and what you'd want an AI assistant to actually do. We'll map out what's realistic.

Start the conversation