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Charities

See who's using Knowbot. Click a website from the list below ⬇️ scroll down, then click "Ask Me !" or "Ask a Question".

 

Or to see how it works, click the mauve "Ask Me !" button on this page to find out about ZSL ⬆️

THE BRITISH ACADEMY

UK's National academy for the humanities & social sciences. Mid-Career Fellowships programme.

 

ZSL

One of the world’s oldest & most respected conservation/scientific research organisations. 

ACEVO

UK's national association of nonprofit CEOs.

RISK KNOW HOW

Risk information tools. Lloyds Register Foundation, Sense about Science & IPUR.

CAST

Digital technology infrastructure charity. Incubated Catalyst network. 
 

ROSETREES

Supporting medical research. £1.2 billion follow-on funding at >80 institutions.

REACH VOLUNTEERING

UK’s biggest source of charity trustees. First to adopt a Knowbot, in December 2024.

BETTER PLANET

Educational resources about the environment for young people, educators & caregivers.

ILM

Supporting charity legacy professionals in > 400 charities.

BHA

Health services in North of England.

 

WILDLIFE TRUSTS

Royal Society with 900,000 members through 46 Wildlife Trusts. (trial).

STROKE ASSOCIATION

UK's leading stroke charity. Funding research & supporting survivors (trial).

...and many others.

To try a Knowbot for your own nonprofit, contact us ✨ 

🌟 Deploying Knowbot is easy -  see here. Or we can host your Knowbot to get you started without any dev work. 🚀

CDC & WHO

Knowbot can also be used to answer questions based on multiple trusted sources. In this example, click the link, click 'Ask Me' & try asking about the Mpox virus.

Longseek for Research

We're also developing Longseek, a tool for researchers to extract data & query very large information sources with high accuracy. Our first Longseek collaboration is with ZSL. See the announcement here.

LLM Toys

Knowbot is built on top of Large Language Models - LLMs. Sometimes we use Knowbot to see what else LLMs can do. The example below explores Emoji use in a light-hearted way.

Thanks

Many thanks to the following who have helped with Knowbot:

Ben, CAST, May, Elizabeth, Jackie, Tom@ISO Serious, Holly, Janet, Neale, Andy, Rani, Guy, Michael, Oleg, Nic & many others. 

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