Healthcare

Safe Generative AI for Health

Use Gen AI to innovate medical research, handle support queries and improve staff operations within highly sensitive environments.
1

Begin innovating safely with AI

Agent Cloud can be deployed to your infrastructure ensuring any sensitive information stays within your walls.
Accelerate medical research by enabling swift access to a wealth of medical data for insights and analytics.
Securely connect to your health databases to enable advanced document retrival
2

Enable advanced document retrieval

Enable administrative staff to query large corposus of documents and text saving hours in admistrative overhead
Ingest PDFs, DOCX, TXT files from your document repositories
Ingest blobs of text from local or cloud databases including Oracle or other SQL based databases
3

Provide Medical researchers with LLMs to trawl through clinical notes and academic papers

Medical researchers spend countless hours to extract useful information from clinical notes.
Save hundreds of hours with safe AI
Automate administrative and improve the rate of innovation internally

Overview of all the features

Security

Ensure LLM chat apps don't share more data than they should

Knowledge Retrieval (RAG)

Enable advanced RAG pipelines, letting you split, chunk, embed and retrieve knowledge from over 300 data sources

Open Source or Cloud LLMs

You can bring your own Open AI key or use one of 10 cloud hosted models (LLAMA2, Mistral 7B, Hugging Face). Agent Cloud Open Source users can also connect to their own Open AI compatible endpoints.

Tools

Build custom tools/functions enabling your AI Agents to hit any 3rd party API service

Multi Agent Assistant (powered by Autogen)

Enable teams of LLM powered agents able to securely access your data and systems

Teams

Enable teams of users in your company to securely access AI apps in your organisation
Build a RAG Chat to Bigquery data
Watch showreel

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 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.
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