Enabling private Chat GPT like capability

Providing government agencies and staff with a way to talk to sensitive information (chat gpt style), without exposing data to external entities.

Extracting value from petabytes of text across government

Provide private and custom chat GPT like interfaces for all teams and departments in a secure manner
Create your own chat apps that can be deployed to specific users, teams and departments
Improve operational efficiency by allowing departments to easily extract information from large volumes of unstructured data by chatting with it

Transforming Citizen Interaction

Transforming Citizen Interaction
Utilize Agent Cloud to analyze and understand citizen feedback across multiple channels, driving improvements in public services and communication.
By harnessing LLM based apps, governments can engage with customer feedback and tailor their services to meet the evolving needs of their communities, enhancing satisfaction and participation.

Automating slow and manual processes

Use our multi agent capabilities to handle highly manual processes
Build agents that can engage with government requirements and provide feedback in a human like manner
Improve the rate at which you can process applications and eliminate major bottlenecks

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 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.