
Market Research with Human and Synthetic Respondents
The idea of synthetic respondents in market research arises from a desire to simulate human responses using artificial intelligence. Instead of collecting data from real
AI & Market Research
Long before AI became a mainstream topic, I was a protégé of Professor Igor Aleksander in the Neural System Lab at Imperial College, London University. This was during the same period when pioneers such as Geoffrey Hinton, Dave Rumelhart, and John Hopfield were making groundbreaking advances in machine learning and neural networks.
Large Language Models (LLMs), neural networks, and implicit reaction time tests share a common foundation: associative learning.
At Split Second Research, we’ve created an AI platform that goes beyond traditional research. It enables us to:
We are currently offering this service as part of our standard research offering. We have several interesting case studies which we have put together with a description of the AI app (with a brief introduction to neural networks). This six-page report can be obtained on request via the contact form.
You can request the report here via our contact form.
Complete an enquiry form to arrange a meeting with us:

The idea of synthetic respondents in market research arises from a desire to simulate human responses using artificial intelligence. Instead of collecting data from real

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