Revolutionize IT Operations with Conversational AI

Agent Cloud brings the power of AI-driven conversations to your IT team, streamlining workflows, enhancing system management, and ensuring seamless access to critical information and support.
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Operational Efficiency: Converse with tickets

Utilize AI to help users diagnose and resolve common IT issues through natural language conversations, reducing downtime and improving efficiency.
Rapid Troubleshooting: Engage with AI agents to quickly identify and solve technical problems, minimizing operational disruptions.
Self-Service Support: Empower users across your organization with AI-guided solutions, reducing the load on your IT staff.
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Privacy: Ensure data stays within your cloud

Empower Your Teams with Private LLM inferencing to your data assets
On prem or cloud design: Deploy Agent Cloud to your environments to ensure maximum privacy or leverage our cloud environment to get started quickly
LLM Agnostic: Bring your own LLMs for maximum privacy or leverage proprietary cloud hosted models provided by Open AI directly or via Azure
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Deployment: Easily deploy to your teams

Deploy Agent Cloud company wide and use teams to ensure users can't access more information than they should
Teams: Agent Cloud enables users to be invited to teams which have their own data access controls to sources, agents and models
Safe deployment of Enterprise AI: Deploy AI apps securely to staff laptops and devices and provision with SSO (on enterprise plans).

Overview of all the features

The end to end RAG pipeline

Select your connector

Use our collection of data sources to sync data from other systems like confluence or upload your own pdf, docx, txt or csv file.
When selecting systems like databases (postgres, snowflake, bigquery) you can select tables and even columns to ingest.

Prep your data

For files you can provide instructions on how to split and chunk your data. Leverage Open AI latest text-embedding-3-small for embedding or select from open source models like BGE/base.

Vector store your data

Once data has been embedded the platform will store your data within a vector database. We also expose

Keep data fresh

Select what frequency you would like to sync data from the source. This can be manual, scheduled or a cron expression. This means users can query fresh data and know how recent the source was updated.

Start chatting with your data!

Now that data is synced, simply create an agent with your choice of LLM and start a session to talk to your data.

Privately chat to your data in your cloud.

Get started with Agent Cloud Community edition today or talk to us for enterprise enquiries.