Enterprise

Enable secure LLM usage across your workforce

55% of your staff are using unapproved LLM tools at work. Agent Cloud helps you accomplish the goal of deploying secure and private LLMs across the enterprise.
1

Provide staff with your answer to Chat GPT

Agent Cloud's platform enables you to deploy chat apps and virtual assistants leveraging any LLM model to your staff, whilst operating within your own environments.
Agent Cloud does NOT require Open AI to operate and can run with your own models
Open Source license model enable your developers to innovate on the codebase.
2

Securely query all of your unstructured data

Agent Cloud can connect to over 300+ data sources including local files. databases and cloud systems like Salesforce and Confluence.
Help teams query large repositories of unstructured data including documents, PDFs and Text files using RAG to eliminate hallucination.
Enable fully local inferencing on your network. In the most secure environments, Agent Cloud can run locally without access to the internet.
3

Bring your own LLM

Agent Cloud is an LLM agnostic platform, enabling your company to focus on rolling out innovative experiences to your staff taking advantage of the growing number of Open Source models
Avoid vendor lock in and connect Agent Cloud to any LLM model
Take advantage of the rapid pace of development in the Open Source community releasing specialised LLMs and general purpose LLMs

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.