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.
Three deployments in one platform
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, summarise 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 GPT-4, Claude, Llama, 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 Compliance
Deploy in the region you need — EU, US, India, or any compliant zone. Meets GDPR, DPDP, and financial sector data localisation rules.
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 | GPT-4o, Claude 3.5, Llama 3, Mistral, Gemini, BYO 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, SOC 2 Type II (design), HIPAA-aligned, 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 | ✓ | ✓ | ✓ |
| Data residency compliance | ✓ | LIMITED | EU only |
| 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
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 GPT-4, Claude, 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
What AI services does Origins AI offer for enterprises?
Origins AI provides end-to-end AI-driven solutions, including AI strategy consulting, data engineering, machine learning model development, AI agent deployment, and digital transformation services. We work with enterprises to modernize operations, enhance decision-making, and unlock new revenue opportunities.
Are your AI solutions compliant with industry regulations like ISO, SOC 2, or GDPR?
Yes. We follow globally recognized standards such as ISO 27001, SOC 2, and GDPR guidelines. Our solutions are designed with built-in compliance measures to ensure data privacy, security, and regulatory alignment for industries like healthcare, finance, and e-commerce.
How does Origins AI integrate AI into existing enterprise systems?
We specialize in integrating AI solutions into both modern cloud-based platforms and legacy systems. Using APIs, middleware, and custom connectors, our team ensures minimal disruption while enabling advanced analytics, automation, and real-time insights within your current infrastructure.
What engagement models do you offer for long-term or ad hoc AI needs?
We offer flexible engagement models, including dedicated AI teams, project-based contracts, time-and-materials agreements, and build-operate-transfer (BOT) partnerships. This allows enterprises to choose the most cost-effective and scalable option for their needs.
Do you provide fixed-cost or milestone-based pricing?
Yes. Depending on project scope and requirements, we can work on fixed-cost, milestone-based, or subscription-based pricing models, ensuring transparency and predictable budgets.
What industries benefit most from your AI solutions?
We serve industries including healthcare, fintech, retail, logistics, manufacturing, travel, and telecom. Our domain-specific AI models and expertise allow us to tailor solutions that solve sector-specific challenges and deliver measurable ROI.
Do you provide AI education and consultancy for internal teams?
Absolutely. We offer enterprise AI training programs, workshops, and consulting services to help upskill your teams in AI strategy, data science, and AI product deployment, ensuring sustainable AI adoption.
What frameworks and technologies do you use to speed up delivery?
We leverage modern AI and development frameworks such as TensorFlow, PyTorch, LangChain, MLOps pipelines, and container orchestration tools like Kubernetes. Our use of pre-built AI agents and modular architectures accelerates deployment timelines without compromising quality.
How do you ensure data security in your AI solutions?
We use advanced encryption (both at rest and in transit), secure authentication protocols, and continuous security monitoring. All data handling adheres to the principle of least privilege, ensuring maximum protection against unauthorized access.