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:
When people answer survey questions, their responses are influenced by many factors: social desirability, rationalisation, or simply the difficulty of articulating instinctive reactions. As a
Picking the right partner for a brand, whether that’s a celebrity or a sponsor, is harder than it looks. High profile and well-liked doesn’t automatically mean the right fit, and a mismatch can do real damage to a brand even when it’s not immediately obvious why.
Two clients came to us with versions of
There’s a gap in most markets that doesn’t show up in product specs or competitive audits. It lives in the consumer’s mind, and it is the space between what people are looking for from a brand and what they actually perceive the brands around them to deliver.
That gap is called a brand gap, and finding it is