Givaudan reveals avdvanced AI tools for creating latest product ranges
The Givaudan Taste & Wellbeing group has released its Advanced Tools for Modelling (ATOM) using artificial intelligence for optimising food and flavour formulation and collaborative ventures, including confectionery and bakery applications, writes Neill Barston.
As the company explained to Confectionery Production, the move is part of its 2025 digital strategy, and its high-tech systems are set to open new doors to creative initiatives and are able to dramatically cut the time to market for new products.
ATOM is the latest addition to an ecosystem of digital and AI tools that allow Givaudan teams in all regions of the world to streamline the end-to-end creation process from conception to rollout.
Building on over two decades of research, ATOM uses artificial intelligence (AI) and data science techniques to minimise trial and error in the process. The tools identify positive and negative flavour drivers and explore ingredient synergies, to generate new options and insights aligned with consumer preferences.
The results are then displayed in graphically rich and interactive dashboards that allow Givaudan to co-create with its customers, enhancing creativity and delivering game-changing new food experiences.
Fabio Campanile, Givaudan’s Head of Global Science & Technology, Taste & Wellbeing said: “ATOM strikes the right balance between AI and human intuition, complementing the work of our expert flavourists and developers.
“Tools such as ATOM enable us to help our customers to go beyond consumer expectations, using insight, collaboration and innovation. Implementing what we call ‘wide-eyed thinking’ allows us to use these insights to leverage our curiosity and deep ingredient knowledge to accelerate new product development and create the food experiences of the future”, added Campanile.
Early projects using the tools have been highly successful. ATOM was recently used in a project to reduce salt in cheese snacks. Narrowing down the perfect blend of ingredients would normally take extensive trial and error, but the team was able to quickly identify the ideal recipe, delivering a 33% reduction in salt, from a much smaller range of options predicted by ATOM. In blind taste testing the reduced salt recipe scored as highly as the original full-salt snack, making it just as tasty, with 33% less salt. The process has also proved highly successful for sugar reduction, vanillin replacement, and meat alternative projects.