Consumer Validated Concepts, without Consumer Panels.
Foodpairing is excited to announce Headspace, an AI platform that transforms how brands approach innovation and consumer validation. Capable of generating millions of concepts, Headspace instantly validates them with more than 170,000 Digital Twins, virtual representation of consumers, outperforming traditional validation methods.
This innovation comes as a welcome relief to both Marketing and R&D teams, who face unprecedented pressure to deliver successful new products at an accelerated pace. “Brands are struggling to identify product innovations that guarantee success, and they can no longer afford to launch products, only to pull them from shelves after 12 months,” says Nick Poels, CEO of Foodpairing.
One of the industry’s largest bottlenecks has always been consumer validation. “Why spend weeks on expensive, biased panel testing,” Poels continues, “when you can receive instant feedback from thousands of virtual consumers?” Headspace redefines product innovation by delivering immediate insights into consumer liking and buying intent early on in the process, allowing companies to focus on the most promising concepts.
Pay for Opinions, or Rely on Facts?
Headspace fastens the New Product Development process by eliminating the need for iterative prototype creation and consumer panel validation. Instead it relies on Digital Twins, a virtual representation of real consumers which are trained using cutting-edge machine learning models and a vast dataset of over 22,000 chemically analyzed products.
“We’re saying what no one else dares to say: consumer panels are outdated, inefficient, and unnecessary,” says Bernard Lahousse, co-founder of Foodpairing. “Headspace provides clarity on not just whether consumers will like and/or buy a concept, but why – down to specific sensory drivers like aroma, taste, and texture.” This scientific approach to product innovation eliminates human bias and introduces a scalable innovation engine based on data and facts.
“Marketers and R&D teams no longer need to argue over “what consumers might like”—the data drives teams to the right decisions. It’s a frictionless process that ensures alignment across all teams, from ideation to launch.” Bernard Lahousse explains.
Key features of Headspace include: