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FabriMesh Automation Studio

The command center for agentic orchestration.

A low-code canvas where business logic becomes multi-agent workflows. Design, test, and deploy agents that stay inside your sovereign perimeter.

Key features

  • Visual logic canvas

    Drag and drop to build agentic workflows, linking manager agents to specialized worker agents.

  • Knowledge base

    Securely ingest and query private data from SQL databases, SharePoint, and internal PDFs with sovereign agentic RAG.

  • Model garden

    Pick the best-fit model for each agent role: open-source models like DeepSeek and Qwen, or frontier cloud models.

    Generative models delivered as a managed service — swap providers without rebuilding your agents.

  • One-click deployment

    Push agent configurations to your deployment fleet on Rafay, AKS, or EKS.

Agents

Manager and worker agents.

Manager agents coordinate specialized worker agents to solve complex problems together.

Specialized workers
Agents dedicated to RAG, data analysis, compliance, and review.
Stateful memory
Short-term context plus long-term private vector memory.
Concurrent validation
Agents share memory and check each other’s outputs.
Toolbox & connectors
Pre-built connectors to SAP, Salesforce, core banking, and more.

Use cases

See a workflow run, start to finish.

Ticket Triage — Route and respond to support tickets automatically

Route and respond to support tickets automatically

  1. Input

    ServiceNow

    New ticket

    Customer can't access their account

    0.04s
  2. LLM

    Claude Sonnet

    Draft with RAG

    Pulls the account history from Salesforce and grounds the reply in your knowledge base

    382 tokens0.9s
  3. Action

    Slack

    Send for approval

    Routed to the on-call support agent for one-click approval, or auto-sent when the ticket is low-risk

    Approval required

    0.11s

Sample run.

Your first workflow

Three steps to your first working AI workflow.

  1. 01

    Connect your tools

    Link Salesforce, ServiceNow, Azure, AWS, or Google in a few clicks using pre-built connectors.

  2. 02

    Build your workflow

    Drag and drop steps onto the canvas: pull data, ask AI to analyze or draft, send results where they need to go.

  3. 03

    Launch and monitor

    Deploy your workflow, watch it run in real time, and adjust as your needs change — no re-coding required.

Model flexibility

Choose the best AI model for each task instead of being locked into one provider.

  • Claude
  • GPT
  • Gemini
  • DeepSeek
  • Qwen
  • Intelligent switchboard

    A unified LLM gateway with load balancing, model failover, and dynamic routing.

  • Enterprise sign-in

    Microsoft Entra ID or on-prem Active Directory via SAML 2.0 or OIDC.

  • Operational observability

    Live dashboards for latency, error rates, and cost attribution.

Get started

Start with one journey. Scale from there.

Pick a high-volume task, connect the systems it needs, and see it working on your data.