Answers to the most common questions about enterprise adoption, governance, security, and integration. Can't find what you're looking for? Schedule a call.
No - they are two fully independent products. Jarvis Registry integrates with any MCP-compatible copilot or AI client, including Microsoft Copilot, GitHub Copilot, ChatGPT, Claude Desktop, VS Code, and Cursor. Jarvis Chat works standalone and can connect to your own MCP servers, RAG pipelines, or knowledge bases.
When used together, they form a complete enterprise AI platform, but neither product requires the other.
Jarvis AI 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 AI 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 infrastructure evolves as the AI ecosystem does without ripping and replacing.
No. Jarvis AI 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, AI interactions, and audit logs, with no shared infrastructure and no external data transmission.
Jarvis AI 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.
Jarvis Registry works with any MCP-compatible AI client, including Microsoft Copilot, GitHub Copilot Chat, Claude Desktop, ChatGPT, VS Code, and Cursor.
It serves as a single governed entry point for tool discovery, routing, and context delivery regardless of which AI client your team uses.
Security is built into every layer, not added on. This includes Azure EntraID-native authentication, RBAC, granular ACL policies per user or team, OAuth-controlled egress, full audit logs of every AI interaction and agent action, and strict data privacy with no external data plane.
Our team is happy to walk you through architecture, security, and pricing specific to your environment.
