Your Answers to PrivateGPT, Clear, Secure, and Built for Enterprise
FAQs
What is a Private GPT?
A Private GPT is an enterprise-grade AI system that works like ChatGPT — but fully inside your company’s secure environment. It understands your internal documents, policies, emails, manuals, and workflows, and gives accurate, confidential answers without sending any data to the public internet.
Think of it as:
ChatGPT + Your Company’s Data + Full Security + Full Control
✔ Runs on your private cloud or on-prem
✔ No data leaves your environment
✔ Custom AI assistants for any department
✔ Secure search across all internal documents
✔ Built-in compliance, audit logs, RBAC access control
It is the AI version of having your own secure, internal “ChatGPT” for employees.
Use Case:
Employees ask policy, HR, finance, or technical questions and get instant answers — without searching documents.
What are other terminology used in the market?
Different vendors use different names, but they all refer to similar private AI systems.
Common industry terms
- Enterprise GPT
- Private LLM
- Secure GPT
- Internal AI Assistant
- Corporate AI Chatbot
- On-Prem AI Assistant
- AI Knowledge Assistant
- RAG-Powered Enterprise Assistant
- Confidential AI
- Self-Hosted AI Chat
- In-House AI Copilot
- Company-Specific Generative AI
All these terms mean something similar:
a company-owned, secure AI system trained on your internal data.
Is ChatGPT private?
No. Public ChatGPT is not fully private.
Example:
If an employee pastes a contract into public ChatGPT, it may be logged externally.
Are ChatGPT conversations private?
Not entirely. Public platforms store request logs.
How private is ChatGPT vs. Private GPT?
ChatGPT = public cloud
Private GPT = your cloud or on-prem
What other names are used in the market?
Enterprise GPT, Private LLM, AI Copilot, Internal AI Assistant, Confidential AI.
Is Private GPT free?
No — it requires secure hosting + enterprise features.
Use Case:
Companies pay for guaranteed privacy, compliance, and internal integrations.
Who owns the data, and where is it stored?
You own all data; stored in your cloud, your servers, or private Cenango cloud.
How is PrivateGPT updated?
Monthly patches + quarterly feature upgrades.
Use Case:
Security teams receive audit reports and change logs.
How does RAG support Private GPT?
RAG pulls the correct internal documents so answers are accurate and up to date.
Example:
Ask: “What is our 2024 travel policy?”
Private GPT retrieves your HR PDF and answers with exact rules.
How does access management and user roles work?
Role-based access (Admin, Manager, Contributor, Viewer).
Use Case:
HR can see HR data; Finance can see Finance data; others cannot.
Can we customize Private GPT for our company?
Yes — workflows, rules, templates, integrations, tone, branding.
Example:
A bank can add compliance warnings or restrict answers based on risk level.
How does PrivateGPT handle large amounts of data?
Scales automatically with vector databases and RAG indexing.
Use Case:
Enterprises with millions of PDFs, emails, spreadsheets, policies.
Can we create AI assistants for each department?
Yes.
Examples:
- HR Assistant → Policies, onboarding
- Finance Assistant → Forecasts, SOPs
- Legal Assistant → Contract extraction
- IT Assistant → Troubleshooting guides
- Sales Assistant → Proposal & CRM data
Can we integrate PrivateGPT with internal systems?
Yes — CRMs, ERPs, SharePoint, Confluence, databases, Salesforce, Jira.
Use Case:
Ask: “Show the latest customer complaint from Salesforce.”
PrivateGPT retrieves it instantly.
Does PrivateGPT meet compliance and security requirements?
Yes — encryption, audit logs, GDPR/SOC2/HIPAA-ready.
Can we test new AI assistants before launch?
Yes — sandbox, validation, pilot rollout.
Use Case:
A company tests the “HR Assistant” with 10 users before releasing to 5,000 employees.
How do we measure ROI?
Dashboards show time saved, cost reduction, faster workflows.
Example:
Search time reduced from 20 minutes → 20 seconds.
Does Private GPT train on our data?
No — unless you explicitly approve it.
How fast can we deploy?
2–6 weeks depending on integrations.
What support do you provide?
24/7 enterprise support, onboarding, admin training.
Does Private GPT work offline or on-prem?
Yes — available for air-gapped, high-security environments.
Use Case:
Banks, government, healthcare, defense.
Can we restrict who can upload data?
Yes — Admins can lock or limit knowledge sources.
What languages does PrivateGPT support?
50+ languages.
How secure is the RAG pipeline?
Fully encrypted ingestion → embeddings → vector DB → retrieval.
Can PrivateGPT generate emails, reports, and documents?
Yes — using your templates and company-approved formats.
Example:
“Generate a project status report using our Q4 template.”