Single Pane GenAI Interface

Secure chat, deep research, enterprise search, agents, and actions.

Seamlessly integrate any LLM of your choice, craft bespoke assistants, and conduct secure data analysis with unrestricted access to both internal and web-based insights.

Get started Explore capabilities

Core

Chat, Agents, Search, Actions

Governance

SSO, RBAC, audit logs

Integrations

Connectors + custom

Deploy

Docker/K8s, air-gapped

Core capabilities

Connect leading LLMs to your organization’s knowledge and tools. Deliver permission-aware enterprise search, chat with files/URLs, deep research, configurable agents, and automation via actions — with centralized admin controls and developer-friendly APIs.

Chat & Deep Research

Model selector, projects, file/URL chats, and multi-source synthesis.

Agents

Instruction-driven, grounded with knowledge, and powered by actions.

Enterprise Search

Unified, permission-aware search with filters and source ACLs respected.

Web Search

Pluggable providers and web scraper; Exa AI supported.

Actions & MCP

Built-in/custom actions; MCP over SSE; OAuth actions.

Code Interpreter (alpha)

Execute code for analysis and data tasks, with enterprise controls.

Integrations & connectors

Broad connector ecosystem with permission-syncing. On-demand custom connectors for proprietary systems.

Coverage: wikis/knowledge bases, cloud storage, ticketing/tasks, messaging, sales, code repos, and more.

Permission-syncing: enforce document-level access based on source ACLs.

WhatsApp Business API support and custom chatbot integrations (Teams/Slack/Telegram/Discord).

Examples

Confluence

Jira

Google Drive

GitHub

Slack

Notion

SharePoint

Custom APIs

Reliability: auto-pause on failing connectors, health/status, and failure diagnostics.

Governance, security, and auditability

Built for enterprise usage: control who can use which models, what data can be accessed, and what actions can run — with logging and clear data flows.

LLM Access Controls

Limit which models/providers are visible and usable by team or environment.

Identity & RBAC

Users, groups, and SSO options with permission-aware retrieval.

Audit Logs

Track who asked what, which sources were used, and what outputs were generated.

Layered Architecture

Application, data, and infrastructure layers with replaceable components.

Data Handling

Documented posture for third-party LLM usage, storage, and training data policies.

Observability

Logging, telemetry, and multilingual configuration.

Deployment & operations

Deploy cloud-hosted or self-hosted. Designed for enterprise scale with a clear operational model.

Docker/Kubernetes support, air-gapped environments.

KEDA autoscaling, node affinity and tolerations.

Configuration via environment variables, custom domain, SSL, logging/observability.

Developer platform

REST APIs for chat (streaming), user management, and search. Extensibility via custom actions and MCP integrations.

POST /api/chat (streaming) GET /api/search POST /api/actions/run MCP (SSE)

FAQs

Can we deploy inside our enterprise perimeter?

Yes. AI Desk supports cloud or self-hosted deployments (Docker/Kubernetes), including air-gapped environments.

Is it model-agnostic?

Yes. You can integrate multiple LLM providers and apply policies for which teams can use which models.

How do you handle permissions?

AI Desk supports permission-aware retrieval and connector permission-syncing (ACL mirroring) where available.

Ready to see AI Desk in action?

Start with secure chat + enterprise search, then expand into agents and actions as your governance matures.