How we built a fully custom enterprise AI conversation platform with white-label branding, document intelligence, and project-scoped memory—serving multiple enterprise clients from a single powerful codebase.
Analyze the Q3 financial report I uploaded and summarize key insights.
Based on the Q3 report (acme-q3-2025.xlsx), here are the key insights:
"We needed an AI platform that understood our business, remembered our clients, and kept our data private. Private GPT delivered exactly that."
K3 Technologies
Enterprise Client
Ready to deploy your own Private GPT?
Enterprise clients needed more than ChatGPT. They needed an AI platform built for their business.
Couldn't use public ChatGPT due to sensitive client data and compliance requirements
AI didn't remember project context, client details, or previous conversations
Excel files, contracts, and reports couldn't be searched or used in AI conversations
Generic AI tools didn't represent their brand or integrate with existing systems
We built Private GPT from the ground up—architected for enterprise scalability, white-label deployment, and complete data privacy.
Each client gets their own fully branded instance with dedicated configuration, custom domains, and independent deployments.
AI maintains persistent context per project—remembers client notes, uploaded documents, and conversation history across sessions.
Upload Excel, Word, PowerPoint, and PDF files. AI processes, indexes, and uses document content in conversations with semantic search.
Microsoft SSO integration, role-based permissions, Azure Blob storage, and compliance-ready infrastructure.
Everything your organization needs to deploy AI at scale.
Custom logos, colors, domains for each client
GPT-4o, GPT-5, Claude, and custom endpoints
AI remembers context across conversations
Excel, Word, PowerPoint, PDF processing
Organized workspaces per client/project
Usage metrics, feedback, reporting
Upload any business document and Private GPT processes it into vector embeddings for semantic search. Ask questions about your data in natural language.
Excel
.xlsx, .xls
Word
.docx
PowerPoint
.pptx, .ppt
JSON
.json
Images
.png, .jpg
Upload Documents
Drag and drop Excel, Word, PDF files
AI Processing
Documents converted to vector embeddings
Semantic Search
AI understands context, not just keywords
Conversational Access
Ask questions in natural language
Built on battle-tested technologies designed for scale, security, and reliability.
| Layer | Technologies |
|---|---|
| Frontend | React 18, TypeScript, Vite, TailwindCSS |
| Backend | Node.js 22, Express, MongoDB, Redis |
| AI | Azure OpenAI, Custom Endpoints, Vector Search |
| Infrastructure | Azure Container Apps, Blob Storage |
| Security | Microsoft SSO, Role-Based Access, JWT |
| CI/CD | GitHub Actions, Docker, Automated Deploys |
Each deployment is fully customizable with your branding. Custom logos, color schemes, domains, and configurations—it's your AI platform.
K3 Technologies
Private GPT Instance
Your Company
Private GPT Instance
Enterprise Co
Private GPT Instance
Tech Corp
Private GPT Instance
Private GPT is deployed across multiple enterprise organizations, providing secure AI capabilities to teams that demand data privacy and organizational control.
Public AI models can retain and train on your data. With Private GPT, your corporate data never leaves your environment.
Private GPT Overview
PDF Download
Download the complete Private GPT case study with architecture diagrams, feature specifications, and deployment options.
Deploy a fully branded AI platform for your organization. Complete data privacy, enterprise security, and unlimited customization.