Jarvis Chat is an enterprise chat interface that gives your team access to multiple AI models through one secure, governed workspace. It is built for organizations that need control over who can use AI, what data it can access, and how it behaves - all without sacrificing usability.
Overview
About Jarvis Chat
Jarvis Chat is built around security, control, and future-proofing. It deploys directly into your environment, meaning your data never leaves your infrastructure or flows into any external system. Every chat interaction is governed through native Azure EntraID/RBAC, ACL-level access control, and OAuth-governed egress. It is also built on open standards like MCP and A2A protocols, so your setup evolves as the AI ecosystem does - without ripping and replacing.
No. Jarvis Chat is licensed, customer-hosted software. We intentionally avoided the SaaS model because enterprise customers require strict data sovereignty and compliance. You maintain full ownership of your data, chat interactions, and audit logs - with no shared infrastructure and no external data transmission.
Yes. Jarvis Chat works fully on its own. It can connect to your existing MCP servers, RAG pipelines, or third-party integrations independently. It can also be paired with Jarvis Registry for a more complete enterprise AI platform, but that is entirely optional.
Deployment
Getting and running Jarvis Chat
Jarvis Chat is available on both the AWS Marketplace and the Azure Marketplace, making procurement straightforward for organizations with existing cloud spend commitments.
Virtually anywhere you run Kubernetes clusters. We natively support AWS (EKS), Microsoft Azure (AKS), and Google Cloud (GKE). Hybrid and on-premises Kubernetes environments are also supported.
Security & access control
Security and access control
Jarvis Chat integrates with your existing enterprise identity provider and supports SSO, RBAC, and SAML/OAuth. You have precise control over which users and groups can access specific AI models, tools, and knowledge bases - enforced at the platform level, not left to individual users.
Jarvis Chat includes built-in guardrails that match your organization's data policies. You can enable PII detection, define DLP (Data Loss Prevention) rules, and set custom privacy policies to ensure sensitive information is never exposed to AI models or external systems.
Features & integration
Features and integration
Jarvis Chat integrates with OpenAI, Anthropic, AWS Bedrock, and more. You can switch between models, compare outputs, and route requests to the right provider - all from a single interface. As new models emerge, you can add them without changing your underlying setup.
Yes. Jarvis Chat comes with a JavaScript SDK, Web Components, and iFrame support, allowing you to embed it directly into your existing portals, internal tools, or custom applications. Your teams get a governed AI experience without leaving the products they already use.
Yes. Jarvis Chat supports AI-driven agents that can automate routine tasks, orchestrate multi-step workflows, and handle complex processes end-to-end. This allows your teams to focus on higher-value work while agents handle the repetitive work in the background.
Yes. Jarvis Chat includes an enterprise knowledgebase feature that lets you upload documents and connect internal data sources. Your team can then ask questions in natural language and get accurate, AI-generated answers grounded in your own organizational data - not generic internet content.
