New AIBods Product Brings Segments to Life

London firm Signoi, which offers solutions for quantitative semiotic analysis, has announced the commercial launch of a new and separate product line, AIBods, which it says will transform reams of data such as segmentation reports into lifelike simulated 'people' representing specific audiences.

The AIBods tool taps the huge amount of data clients hold on their segments to create detailed simulations representing not just each segment's shared / defining attributes but also the variation to be found within it. Clients can then ask the 'distinct, rich, representative and lifelike' personas qual and quant questions via a simple web interface.

Company co-founder Andy Dexter comments: 'We've created a number of AIBods models for different projects across a whole range of sectors. We've found what emerges is not only realistic but often genuinely surprising. And having run over 50 validation studies, we've consistently found the correlations with real-world consumer responses are 90% or more'.

The team stresses the importance the of high quality primary data in this process. Dexter's colleague Andrew Jeavons says with the right data to feed in, AIBods is 'not just a cool tool for enlivening segmentations and other information, but an option for enhancing market research'. He adds: 'We prefer to see this as a very detailed, high resolution simulation rather than the 'synthetic data' that currently seems to be plaguing the industry'.

Dexter says the firm is building two types of simulation: 'First, private, bespoke models: these are based on deep client data and are usable by, and accessible to, only that client. Second, general models, which are lighter touch, pre-built using public data, and available for use under license by anybody'.

More information on AIBods, including a limited-time offer of a free demo of the team's Gen Z simulation model, can be found at http://aibods.co - as can Ava, 'the world's most unhelpful and sarcastic AIBod'.

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.