Intelligent Knowledge Hubs for social impact

Knowledge management tools to curate data and insights on any topic, in any file format. Accessible via a chatbot interface.

Watch the 1 minute demo

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A specialist on your data.

We’re creating specialized AI assistants with expertise on a specific topic. Intelligent Knowledge Hubs apply AI tools to organize and analyze curated data and information for a particular topic or portfolio of work.

This is a leap compared to AI products such as ChatGPT: powerful, but lacking depth and context in the low-resource settings where we work.

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No more fragmented data.

Information is only valuable if it’s accessible. There is a wealth of information out there spread across different file types and locations, and often underutilized. What if you could organize all this data by their content, instead of file format?

An Intelligent Knowledge Hub has an aerial view of all the knowledge related to your topic of choice, and can connect the dots across file types. Your can then access your insights through a user-friendly chatbot interface.

Not just a data repository.

Intelligent Knowledge Hubs do more than act as a repository of data. They can generate entirely new insights and outputs with existing data. Every data point is interconnected in what we call a knowledge graph, which means that it can be interpreted by Large Language Models.

An Intelligent Knowledge Hub is an interactive virtual assistant you can ask to plot graphs, summarize a paper, interpret statistics, or draft a policy brief.

Get everyone on the same page.

Big global challenges are complex. Getting a holistic picture on a topic is difficult, especially if data and know-how are scattered across multiple documents and teams, or stored in different computers.

Intelligent Knowledge Hubs can be a single source of curated information for a team or program, facilitating collaboration and decision-making.

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Try it yourself

The EduStats pilot was built for the Ministry of Education in Rwanda from a selection of documents on education statistics. Explore the dedicated web portal for EduStats.

Or test the ChatGPT integrated version

How does it work?

Step 1

Curate a database

Work with experts in your field to identify and collect the most relevant information on a topic.

Step 2

Organize your data

Extract key insights and organize them into concepts in a network of nodes and edges called a knowledge graph.

Step 3

Deploy AI agents

Use Large Language Models to fetch data from the knowledge graph, run calculations, and formulate responses.

Step 4

Use the hub

Interact with the data via a custom chatbot trained on your data and specialized in your topic of interest.

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Interested in a demo?

Reach out to Senior Research Associate John DiGiacomo through jdigiacomo@laterite.com.