A private ChatGPT your enterprise controls completely
A full-featured AI chat platform — deployed inside your own infrastructure. Your employees get a ChatGPT-grade experience. Your customers get embedded AI support. Your data never leaves your network with self-hosted models.
Six ways teams use it
Internal employee assistant, customer-facing support chat, and embedded product AI — all from the same private deployment.
Internal Employee Assistant
Give every employee a ChatGPT-grade assistant trained on your internal knowledge — HR policies, engineering runbooks, legal templates, and product documentation.
Customer Support Chat
Deploy an AI agent on your product or website that handles tier-1 support queries, resolves issues, and escalates to human agents with full context.
Embedded Product AI
Drop an AI assistant directly into your SaaS product, dashboard, or mobile app. Answers questions about your product in context, reduces churn, and improves onboarding.
Legal & Compliance Assistant
Draft contracts, summarize clauses, flag risk, and answer policy questions — trained on your documents, deployed inside your legal team’s secure environment.
Sales & Pre-Sales Copilot
Arm your sales team with an AI that knows your product, pricing, competitive positioning, and objection handling — live in every deal conversation.
Operations & IT Helpdesk
Resolve IT tickets, answer procurement queries, and guide employees through processes — without a human on the other end for routine requests.
How the platform is built
A complete private AI chat stack — access control, knowledge retrieval, LLM routing, and delivery layers — deployed inside your environment.
Access & Identity Layer
Enterprise identity integration from day one. SSO via SAML 2.0 or OIDC, role-based access control, department-level data scoping, and session audit logging. Only the right employees see the right data.
Knowledge & Retrieval Layer
Ingest your internal documents, databases, and SaaS tools into a private knowledge base. Semantic search and RAG retrieval give the AI accurate, grounded answers — no hallucinations about your own data.
LLM Gateway & Delivery
Multi-model routing lets you switch between OpenAI, Anthropic, Meta Llama, Mistral, or your own fine-tuned model without changing the application. Delivered as a chat interface, embeddable widget, or API.
Enterprise-grade control from day one
Security and compliance are not bolt-ons. They’re designed into the deployment architecture.
On-Premise or Private Cloud
Deploy on your servers or inside your own AWS, Azure, or GCP VPC. No shared tenancy. No data leaves your account.
Zero Retention by Default
Conversations are never stored on Origins infrastructure. Your deployment owns all session data, retention policies, and deletion controls.
Data Residency Support
Deploy in the region you need — EU, US, India, or any compliant zone. Supports data residency requirements including GDPR and DPDP by keeping data within your chosen environment.
Encryption End-to-End
AES-256 at rest for all knowledge stores and conversation logs. TLS 1.3 in transit for all API and widget traffic.
Full Conversation Audit Trail
Every message, model call, and retrieval event is logged with user ID, timestamp, and session context — exportable for compliance review.
PII Redaction
Automatic detection and masking of PII in prompts and responses before storage. Configurable per data category and user role.
On-Premise
Your servers, your control
Private Cloud
Your VPC, no shared infra
Embedded
Widget inside your product
API-First
Integrate into any frontend
| Identity & SSO | SAML 2.0, OIDC, Okta, Azure AD, Google Workspace |
| Access Control | RBAC with department-level and document-level scoping |
| Knowledge Ingestion | PDF, DOCX, PPTX, HTML, CSV, Confluence, Notion, Drive, Slack, custom |
| LLM Support | OpenAI, Anthropic, Meta Llama, Mistral, Google, or your own fine-tuned model |
| Response Streaming | Yes — real-time token streaming in chat and embedded widget |
| Deployment Target | AWS, Azure, GCP, on-premise, Kubernetes |
| Compliance | GDPR, HIPAA-aligned (on-premise), ISO 27001-aligned |
| Deployment Time | Pilot live in 2 weeks; full rollout in 30 days |
Why enterprises choose Origins over ChatGPT Enterprise
ChatGPT Enterprise and Microsoft Copilot are powerful — but they’re SaaS products on shared infrastructure. Origins Chat AI gives enterprises the same capability on their own infrastructure.
| Capability | Origins Chat AI | ChatGPT Enterprise | MS Copilot |
|---|---|---|---|
| Fully on-premise deployment | ✓ | ✗ | ✗ |
| Data stays in your VPC | ✓ | PARTIAL | PARTIAL |
| BYO LLM / model freedom | ✓ | ✗ | ✗ |
| Embedded product widget | ✓ | ✗ | LIMITED |
| Custom RAG on internal docs | ✓ | ✓ | ✓ |
| Runs on your own servers | ✓ | ✗ | ✗ |
| Fine-tuned domain models | ✓ | ✗ | ✗ |
| Customer support embedded AI | ✓ | ✗ | LIMITED |
The enterprise experience without the enterprise wait
You shouldn’t need a 9-month procurement cycle to give your team a private AI assistant. Origins gets you live in 30 days.
Live in 30 Days
From signed agreement to live deployment in 30 days. We handle provisioning, SSO integration, and knowledge ingestion.
No Data Leaves Your Network
With self-hosted models and on-premise deployment, your conversations, documents, and user data stay inside your infrastructure — not in a vendor’s shared cloud.
Fits Your Stack
SSO with whatever identity provider you use. Ingestion from your existing knowledge tools. Embeds in your current product.
Not Just a Chat Box
Includes embedded customer support, workflow triggers, and API access — not just a wrapper around a language model.
Model Freedom
Run on OpenAI, Anthropic, Meta Llama, Mistral, or your own fine-tuned model. Switch models without redeploying the application.
Dedicated Implementation
A real team handles your rollout — integration, data ingestion, user training, and ongoing support after go-live.
Ready to give your enterprise a private AI assistant?
Book a 45-minute demo. We’ll show you a live private deployment, walk through the security architecture, and scope a 30-day pilot — no procurement cycle required.
Frequently Asked Questions
Can Origins AI Chat be deployed on our own servers?
Yes. Origins AI Chat is designed for on-premise and private cloud deployment. You can run it on your own hardware, inside your AWS, Azure, or GCP VPC, or as an embeddable widget — with no data touching Origins AI infrastructure.
Does chat data leave our network?
With self-hosted models and on-premise deployment, no data leaves your network. Conversations, documents, and user queries stay inside your infrastructure. If you choose to route requests to a hosted model provider, that provider’s standard data handling policies apply.
Which identity providers and SSO systems does it support?
Origins AI Chat supports SAML 2.0 and OIDC for single sign-on, with pre-built integrations for Okta, Azure Active Directory, and Google Workspace. Role-based access control (RBAC) is configurable at the department and document level.
How long does a deployment take?
A pilot deployment — with SSO integration and initial knowledge ingestion — is typically live within two weeks. A full production rollout with custom RAG pipelines, multi-department access control, and embedded widgets takes 30 days.
Can we choose which AI model powers the platform?
Yes. The platform supports models from OpenAI, Anthropic, Google, Meta Llama, Mistral, and your own fine-tuned models. You can route different use cases to different models and switch providers without redeploying the application.
How is it different from ChatGPT Enterprise or Microsoft Copilot?
ChatGPT Enterprise and Microsoft Copilot are SaaS products hosted on shared infrastructure. Origins AI Chat is deployed inside your own environment — your servers, your VPC, your data. You also get embedded product AI and customer support chat in a single deployment, not just an internal assistant.