Nonprofits
To see how leading research-based nonprofits are using Knowbot click one of the links below. ⬇️
Or to see how it works on this page, click the mauve "Ask Me !" button.
UK national academy for research in humanities & social sciences.
Promoting statistics for the public good. Also RSS's S4S project.
World’s oldest animal conservation/scientific research organisation.
Evaluation of UK social policy and programmes.
UK national association of nonprofit CEOs.
Promoting public interest in sound science & evidence.
Risk mitigation. Lloyds Register Foundation & SaS.
UK leading digital tech charity.
Medical research. £1.2 billion follow-on funding.
UK’s biggest source of charity trustees.
Educational resources about the environment.
Health services in North of England.
ROYAL SOCIETY OF WILDLIFE TRUSTS
900,000 members via 46 Wildlife Trusts. (trial).
UK's leading stroke research/support charity. (trial).
Knowbot is used by many other nonprofits & being evaluated by organisations including:
Research Institutes
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Alan Turing Institute: whole site & Open Source AI Fellowship
Nonprofit Think Tanks
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SMF Social Market Foundation. Cross-party
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IFS Institute for Fiscal Studies. Economics policy & research
Royal Societies & Academies
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Royal Academy of Engineering: generalist & specialist
Healthcare
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Ocular Melanoma UK
Universities
Others Projects
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Field Studies Council
To try a Knowbot for your own nonprofit, contact us ✨
🌟 Deploying Knowbot is easy - see here. We can host your Knowbot to get you started without any dev work. 🚀
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.