Autonomy offers its own set of AI-driven tools, designed specifically for researchers, journalists, campaigners and auditors


Autonomy Scribe: This tool allows researchers to take vast amounts of free-form textual response data and arrange it for easy analysis. Instead of wading through hundreds of focus group transcripts, interview transcripts or open text box survey data, researchers can get these responses pre-grouped and analysed for a first glance grasp of the contents. 

Autonomy Scribe allows for ‘lossless’ qual research, at scale, letting the researcher go deeper and deeper into the AI’s helpful groupings until the raw response data is revealed – allowing for efficient scoping in and out. You don’t rely on the AI to give you the insight, and you can always double-check its findings for yourself, but it is an invaluable assistant that navigates large amounts of qualitative information at speed.

Big House

Autonomy Big House: This tool allows you to interrogate Companies House data with speed and scale. Information on any company, any sector, at any moment in time. By being able to extract key financial information – both quantitative and qualitative – researchers can get right to the point of their project without having to sift through hundreds of pages of non-essential data.


Autonomy In-House: This tool is a bespoke organiser of your organisation’s information – from its collected raw data to policy reports and briefings. This is a great tool for organisations who have accrued a lot of data and outputs over the years and want their research teams to have easy access to that knowledge base. As each organisation is different, Autonomy In-House will have to be finetuned in each instance.

Autonomy In-House is all about having organisational institutional knowledge at the fingertips of staff within these workplaces. Large organisations, e.g. philanthropic foundations, will have supported hundreds of pieces of research over the years and yet this vast resource is not practically navigable by a single staff member at any one time. Equally, research organisations with vast amounts of primary data from over the years might want to review and analyse the data effectively but don’t have the time or manpower to collate and digest all of it. In-House allows for this navigation by processing, reading, summarising and grouping the organisation’s data, allowing for the right information to be retrieved at the right time by those with authorisation to explore it.


Autonomy Scope: This tool uses AI to help you find and organise the information you need faster and easier. It’s a research augmentation that can boost the depth and breadth of your research – creating a pre-grouped and summarised set of resources for you to navigate according to your purpose and the level of efficiency required. This is the ideal tool for researchers who spend a lot of their time on literature reviews and desk-based research.

Autonomy Scope makes large scale research projects a simple Russian Doll affair. E.g. If you have 200 documents that you need to go through to create a briefing on a given research landscape, Scope can summarise and group these documents according to theme for an initial assessment of the contents. Then, reviewing this initial grouping, the researcher can choose to go deeper into particular, relevant sections: this will reveal another, more detailed subset of groupings and summary, providing more colour to the picture the researcher is receiving. This can continue until the researcher gets to the original source documents themselves – thus providing what we call ‘lossless’ research: behind it all lies the original material for reference. You can ‘Scope’ in at various resolutions as you see fit, balancing efficiency and detail according to which data are most relevant to you. You don’t rely on the AI to give you the insight, but it is a helpful assistant in navigating vast regions of information that would normally be unfeasible for a human within given time constraints.

To discuss any of the above tools, and how they could help your work, please get in touch: info [@]