Neng Nana
For over half a century, the multi-billion-dollar fragrance and flavor industry has operated in a state of stagnant traditionalism. The creation of scent molecules—the essential building blocks for everything from luxury perfumes to laundry detergents—has been the guarded domain of a handful of specialized laboratories and global conglomerates. Today, that hierarchy faces an existential shift.
Patina, a Brooklyn-based fragrance technology startup, announced this week that it has secured $2 million in seed funding from high-profile investors including Betaworks and True Ventures. By merging advanced molecular design with machine learning, Patina aims to do what was once considered impossible: codify the human sense of smell.
The Foundation: A Meeting of Art and Engineering
The story of Patina is as much about human serendipity as it is about deep-tech innovation. The company was founded by Sean Raspet, a perfumer and conceptual artist, and Laura Sisson, a software engineer with a background in the food industry.
Their partnership began in 2024 at a New York City scent art gallery. Raspet, who had spent years obsessively experimenting with the creation of novel scent and flavor molecules, was exhibiting his latest olfactory works. Sisson, meanwhile, was showcasing her work in building olfactory learning models. It was an intersection of creative inquiry and computational rigor.
“We started collaborating on research, and it became clear that the timing was right to finally build the tools to understand scent at the biological level,” Raspet told TechCrunch. “That felt like a company.”
Decoding the Universal Language of Scent
At the core of Patina’s ambition is "Sense1," a foundational artificial intelligence model designed to map human scent receptors.
For centuries, the industry has relied on imprecise, linguistic descriptors—terms like "floral," "woody," or "musky." These subjective labels have long created inconsistencies in international trade and creative development. Patina’s approach is fundamentally different: they are working at the receptor level. By simulating how molecules interact with human biology, Patina aims to establish what they describe as the “first universal code of smell and taste.”
This move toward a "Pantone for scent"—a standardized, universal color-matching system for aromas—would effectively provide the industry with a periodic table of olfactory experience. If achieved, this would allow researchers to reconstruct rare natural ingredients or synthesize entirely new, never-before-smelled molecules with unprecedented precision.
Chronology of a Disruption
To understand the significance of Patina’s arrival, one must look at the recent evolution of the sector:
- Pre-2020: The fragrance industry remained a "black box." Innovation was slow, relying on iterative human testing and trial-and-error chemistry within legacy fragrance houses like Givaudan and Symrise.
- 2024: Raspet and Sisson meet in New York, identifying a gap between biological research and computational modeling.
- Late 2024: Patina is officially incorporated. The founders begin the foundational work of training Sense1 on receptor activation data.
- 2025: The company moves from a home-based laboratory into a dedicated facility in Bushwick, Brooklyn, recruiting a team of specialized chemists to scale their operations.
- Present: Patina secures $2 million in seed funding to expand partnerships with fashion brands and fragrance houses.
The Economic and Environmental Mandate
Patina’s timing is dictated by both market demand and urgent supply-chain crises. Consumers are increasingly pushing for "cleaner," safer, and more expressive fragrances. Simultaneously, the natural ingredients that underpin the global perfume industry—such as rose oil or sandalwood—are becoming increasingly scarce, expensive, and environmentally taxing to cultivate.
“These replications are less carbon-intensive than the original plant extract, consuming significantly less water and petrochemicals,” Raspet explains.
By utilizing AI to simulate these natural structures at the molecular level, Patina offers a sustainable path forward. They can synthesize the chemical profile of a rare flower without the need for vast tracts of land, heavy water usage, or complex, carbon-heavy extraction processes. This is not merely a cost-saving measure; it is a vital adaptation to a world facing climate-driven agricultural instability.
Intellectual Property and the AI Edge
Perhaps the most disruptive aspect of Patina’s business model is how it navigates the murky waters of intellectual property (IP).
Currently, the fragrance industry is heavily lopsided. While individual molecules can be patented, the actual formulas—the "recipes" for a perfume—cannot. This has historically favored massive fragrance houses that possess the capital to generate and test thousands of variations in a lab to find a "winner."
AI is democratizing this process. By shrinking the research and development cycle from years to weeks, Patina allows smaller, independent brands and perfumers to compete on a level playing field. "We think by expanding the palette, perfumers and flavorists at all scales will be able to develop and protect their signature style," Raspet says. By creating custom, proprietary ingredients, Patina provides creators with a unique "scent fingerprint" that is technologically distinct and commercially defensible.
Implications for the Future of Sensing
The implications of Patina’s work extend far beyond the perfume counter. As the company refines its AI, the technology is also proving to be a powerful tool for ethical science.
One of the most significant shifts in the cosmetics industry is the move away from animal testing. Historically, new scent molecules were tested on animals to ensure they did not cause skin irritation or allergic reactions. Patina’s models, however, are now capable of predicting these human-skin reactions with near-clinical accuracy. This creates a feedback loop: better data leads to better models, which lead to safer products, which in turn require less physical testing.
Furthermore, the "unlock" that the Patina team has achieved—the ability to model scent at the molecular level—was considered a pipe dream by the scientific community just five years ago.
Official Responses and Industry Outlook
While Patina is a newcomer, they are entering a space populated by giants. Startups like Osmo, backed by Google’s AI research arm, are also pursuing the digital mapping of scent. However, the Patina team remains focused on their specific niche: the creation of a "computational intelligence layer" for the industry.
With the new funding, the company is aggressively moving into partnerships. They are currently in active discussions with several top-tier fragrance houses and fashion brands, aiming to integrate their synthetic ingredients into upcoming product lines.
The office in Bushwick, now buzzing with a team of chemists and data scientists, is more than just a headquarters—it is a site of transition. The founders have spent the last year gathering receptor activation data through collaborations with academic labs, turning abstract biological concepts into actionable code.
Conclusion: A New Era of Olfaction
The long-term vision for Patina is to become the underlying infrastructure for how the world experiences scent. By providing the "alphabet" of smell, they hope to enable a future where the creation of a new fragrance is as accessible and precise as mixing colors on a digital canvas.
"The information has been there the whole time," Raspet notes, reflecting on the years of research that led to this moment. "It was just waiting for the technology to catch up and a team with the right combination of expertise and obsession to unlock it."
As Patina continues to scale, the fragrance industry may find itself in the midst of a fundamental transformation. What was once an industry defined by trade secrets and natural extraction is rapidly becoming one defined by data, molecular design, and the infinite possibilities of synthetic creativity. Whether for the perfumer seeking a new note or the brand looking to solve its supply chain woes, Patina is positioning itself as the bridge between the biological past and the digital future.
Ammar Sabilarrohman
Asro
