Moodify launches AI software for fragrance (re)formulation

Moodify has launched Moodify (Re)formulation, an AI software package for the formulation and reformulation of perfumery and fragrance.

The Israeli tech outfit says it enables a quick, highly effective, and component-flexible process, allowing perfumers to substitute components while maintaining the same odor profile as in the original formula.

In industries that use fragrance, such as personal & home care, consumers have high expectations for the scent experience of a product.

Changes to the availability and price of ingredients, as well as new regulatory requirements, can create challenges for fragrance houses.

Moodify (Re)formulation allows fast and easy scent reformulation, providing a fast and cost-effective way to keep up with changing regulations and ingredient availability, it says.

Moodify’s scent AI technology facilitates automatic replacement, enabling formulators to choose the best available molecule/accord. It also offers several contenders based on their level of similarity to the original molecule while optimizing for different constraints.

This technology allows Moodify to recommend a list of substituents rated by proximity, providing the perfumery and fragrance industry with a game-changing solution to the time-consuming and costly process of reformulation.

Moodify’s algorithms take into account regulatory requirements, inventory, and pricing considerations before suggesting the best substitutions. The calculation is achieved using several AI methods to ensure optimal performance in any given circumstance.

Formulators need to simply submit their formula to the app, select the component they need to replace, and Moodify’s scent AI technology will do the rest

Moodify scent AI technologies are based on more than 15 years of academic research and extensive development.

“We are thrilled to launch Moodify’s (Re)formulation, which we believe will revolutionize the way perfumers and fragrance professionals approach scent reformulation,” said Moodify CEO Eyal Maor. “Our technology offers a cost-effective and efficient solution that ensures regulatory compliance and meets the high expectations of consumers for the product scent experience,” he added.

As originally published in Personal Care Magazine

Digital transformation & AI in fragrance

Software is eating the world and now it has recently begun smelling it as well. The fragrance industry is starting to go through deep digital transformation processes that address its core competencies, and naturally so, is thus very affected by artificial intelligence (AI). In contrast to information-based industries such as finance and insurance, fragrance took longer to undergo digital transformation because entry barriers for startups and innovation, in general, are higher. CapEx (capital expenditures) involving chemical compounds and labs, together with higher OpEx (operational expenditure) for interdisciplinary talent, make it less susceptible to disruption.

Fragrance is more difficult to digitize because there is less academic applied olfaction research work offering technologies ripe for commercialization; and because olfactory nomenclature is limited and less articulated than other senses. The latter not only creates difficulties in generating data sets for AI but also makes it challenging to have AI talent reach the profound subject matter understanding that is so necessary to develop adequate solutions. In addition, the widely common (and justified) perception of perfumery as an art and craft creates a basic distrust for AI solutions in fragrance.

AI in Fragrance

Nonetheless, AI is beginning to penetrate fragrance. Similarly to other industries, it started from applications that are not unique to fragrance, such as analyzing consumer behavior as recorded in e-commerce transactions and social media for the purpose of creating fragrance products that sell better. But also recent years innovations in machine learning, bioinformatics, and drug discovery have posed an opportunity to develop AI models that touch the core of fragrance design and formulation and can actually make computers sense and articulate olfactory perception. Publicity of such innovation made stakeholders in fragrance more open to risk resources for progress. The integration of AI in core fragrance capabilities manifests in several types of applications: formula-to-brief recommendation, formulation, sensing, and new molecule design. The formula to-brief recommendation is the ability to match existing fragrance formulas to new briefs. It enables fragrance houses to match formulas out of their 50,000+ formula portfolios to new customer briefs that could benefit existing non-exclusive formulas and enable fragrance houses to continue monetizing them.

Originally published on Perfumer & Flavorist

Moodify Launches AI reformulation software

Moodify has launched its Reformulation Artificial Intelligence (AI) software, Moodify (Re)formulation. The software enables a quick, highly effective and component-flexible process, allowing perfumers to substitute components while maintaining the same odor profile as in the original formula.

Moodify (Re)formulation provides a fast and cost-effective way to keep up with changing regulations and ingredient availability.

The technology facilitates automatic replacement, enabling formulators to choose the best available molecule/accord. It also offers several contenders based on their level of similarity to the original molecule while optimizing for different constraints.

Eyal Maor, CEO, Moodify, said, “We are thrilled to launch Moodify’s (Re)formulation, which we believe will revolutionize the way perfumers and fragrance professionals approach scent reformulation. Our technology offers a cost-effective and efficient solution that ensures regulatory compliance and meets the high expectations of consumers for the product scent experience.”

As originally published on Perfumer & Flavorist

Digital transformation & AI in fragrance

Software is eating the world and now it has recently begun smelling it as well. The fragrance industry is starting to go through deep digital transformation processes that address its core competencies, and naturally so, is thus very affected by artificial intelligence (AI). In contrast to information-based industries such as finance and insurance, fragrance took longer to undergo digital transformation because entry barriers for startups and innovation, in general, are higher. CapEx (capital expenditures) involving chemical compounds and labs, together with higher OpEx (operational expenditure) for interdisciplinary talent, make it less susceptible to disruption.

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Fragrance is more difficult to digitize because there is less academic applied olfaction research work offering technologies ripe for commercialization; and because olfactory nomenclature is limited and less articulated than other senses. The latter not only creates difficulties in generating data sets for AI but also makes it challenging to have AI talent reach the profound subject matter understanding that is so necessary to develop adequate solutions. In addition, the widely common (and justified) perception of perfumery as an art and craft creates a basic distrust for AI solutions in fragrance.

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AI in Fragrance

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Nonetheless, AI is beginning to penetrate fragrance. Similarly to other industries, it started from applications that are not unique to fragrance, such as analyzing consumer behavior as recorded in e-commerce transactions and social media for the purpose of creating fragrance products that sell better. But also recent years innovations in machine learning, bioinformatics, and drug discovery have posed an opportunity to develop AI models that touch the core of fragrance design and formulation and can actually make computers sense and articulate olfactory perception. Publicity of such innovation made stakeholders in fragrance more open to risk resources for progress. The integration of AI in core fragrance capabilities manifests in several types of applications: formula-to-brief recommendation, formulation, sensing, and new molecule design. The formula to-brief recommendation is the ability to match existing fragrance formulas to new briefs. It enables fragrance houses to match formulas out of their 50,000+ formula portfolios to new customer briefs that could benefit existing non-exclusive formulas and enable fragrance houses to continue monetizing them.

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Originally published on Perfumer & Flavorist