Built by HummingAgent AI
Private GPT for business, grounded in your approved data
Private GPT is a company branded AI assistant that knows your business, reads your documents, and runs in your own Azure environment. Storage, access, and model-provider handling are documented for the deployment you approve.
- Scope-based deployment
- Multiple AI models
- Dedicated environment
- White glove setup
Model choice
Select the right model for each workflow
Private cloud
A dedicated environment for your company
Access controls
Permissions aligned to your team
Sourced answers
Responses grounded in approved documents
Your team already uses AI. That is the problem.
The question is not whether your company will use AI. It is whether you will control where your data goes when it does.
Shadow AI is already here
Your team already uses AI. Public tools, personal accounts, phones under the desk. Client names, financials, and contracts are flowing somewhere you cannot see or control.
Public tools were not built for your data
Consumer AI handling varies by account, provider, agreement, and settings. Personal accounts also sit outside the identity, access, and review process your business controls.
Banning AI does not work
Telling your team not to use AI just pushes it underground and hands your competitors the productivity edge. The answer is not less AI. It is AI on your terms.
Private GPT gives the team a governed path to use AI. One platform. Clear boundaries.
From kickoff to a branded AI assistant in three steps
We handle the managed build while your business, technical, and security owners approve the sources, access, and workflows in scope.
Connect your data
We map the sources that matter: SharePoint, Google Drive, file shares, your CRM, accounting tools, and internal documents. You decide exactly what the AI can see and who can see it.
We deploy your environment
We provision a dedicated Azure environment for your company, configure security and role based access, and index your approved documents. The deployment plan and timeline are confirmed after we review your systems and requirements.
Your team gets a branded assistant
Your logo, your domain, your rules. Every employee logs into an assistant that knows your business, remembers context across projects, and answers from your documents with sources.
A company AI experience built around your context
Supported models, approved data, and repeatable workflows are configured around the deployment you approve.
Model choice, one interface
Supported model options can be configured in one interface, with approved defaults selected for each workflow.
Documented data handling
Storage, access, connected sources, model endpoints, retention terms, training terms, and operating responsibilities are reviewed during scope.
It remembers your business
Context aware memory across conversations, clients, and projects. Ask about a client in March and it remembers what you decided in January.
Reads your documents
Excel, Word, PDFs, and presentations, all askable in plain English. No more digging through folders. Just ask and get answers with sources.
Runs your workflows
Turn repeat work into one click workflows: proposals, follow ups, reports, and summaries built around how your team actually operates.
Your logo, your domain
A fully branded experience your team and even your clients can log into. It looks and feels like your company, because it is.
Built for businesses that handle other people’s data
The platform is the same. What it knows is shaped to your industry.
Security claims should be inspectable
Private GPT starts with a dedicated Azure environment and then documents the sources, identities, permissions, model endpoints, provider terms, logs, and operating responsibilities approved for your deployment.
- Azure environment dedicated to the customer deployment
- Approved sources and permission groups defined during scope
- Model endpoint and provider data-handling terms documented
- Logging, support, retention, and exit responsibilities stated
Pricing starts with your deployment scope
Team size, data sources, security requirements, integrations, and support needs all shape the proposal. Book a meeting and we will walk through those inputs with you before discussing price.
Want it all handled for you? See our managed private AI deployment services, compare the operating model with ChatGPT Team, or explore white label private AI, and there are dedicated overviews for the industries we serve.
See a real private AI deployment
This published case study is the proof currently available on this site. We will add more only when clients approve them.
“We needed an AI platform that understood our business, remembered our clients, and kept our data private.”
K3 Technology
Managed IT services firm
Read the full case study →Frequently asked questions
What is a private GPT?
A private GPT is a branded AI assistant deployed in a cloud environment dedicated to your company. It can retrieve from approved documents and systems, apply configured role based access, and provide sourced responses through the model endpoints selected for the deployment.
Where does our data live?
The Private GPT application, approved indexes, conversation context, and configured logs are placed in a dedicated Microsoft Azure environment. Connected systems and model calls create additional boundaries, so the proposal documents where each data type is stored, transmitted, retained, and deleted.
Does our data train AI models?
Training and retention behavior depends on the selected model provider, endpoint, agreement, and settings. We review those terms during scope, configure approved endpoints, and document the controls that apply to your deployment.
Which AI models can we use?
Supported options can include model families from providers such as Anthropic, OpenAI, Google, and selected open source deployments. Availability and defaults are confirmed for the use cases, provider terms, and environment in scope.
How long does deployment take?
The timeline depends on your data sources, access model, integrations, and security review. We map those requirements before proposing a deployment plan. You do not need an internal AI team to run the service.
What does it cost?
Pricing depends on your team, data sources, permissions, integrations, deployment environment, and support needs. Review the pricing factors or book a meeting to talk through your requirements.
Can it connect to our existing documents and systems?
Private GPT can connect to approved sources such as SharePoint, Google Drive, internal file shares, CRMs, and accounting tools. The connection method, permissions, indexing, and source display are scoped for each system.
Do we need technical staff to run it?
You do not need to build an internal AI engineering team for the managed scope. HummingAgent handles the deployment and operating responsibilities listed in the proposal, while your technical or security staff participate where company systems and policies require approval.
Get a private AI plan for your company
Tell us about your team, data sources, and the workflow you want to improve. We will use that context to recommend the next step.
Ready to own your AI?
Book a meeting to see a live private deployment and talk through your team, data sources, requirements, and pricing.