Patina
Patina uses machine learning and molecular design to create new scent molecules for fragrance houses and brands.
Raised $2M across disclosed rounds.[1][2][3][4][7]
Seed closed May 2026, led by Betaworks.[1][2][3][4][7]
post-money valuation is not publicly disclosed.
Named investors include Betaworks, True Ventures.[1][2][3][4][7]
Sean Raspet, Co-founder[1][6][7]
Laura Sisson, Co-founder[1][6][7]
Osmo · osmo.ai · Direct competitor in AI-driven scent digitization and molecular mapping; both target the same fragrance molecule discovery workflow and buyer base.[1][2][4]
Givaudan · givaudan.com · Legacy incumbent that Patina's synthetic ingredient model competes against for fragrance molecule supply; Givaudan works on roughly 2,000 molecules per year.[1][4]
Symrise · symrise.com · Named alongside Givaudan as one of the two largest flavor and fragrance incumbents that Patina's model challenges.[1]
Debut · debutbiotech.com · Named in the same market map as a biotech alternative developing fragrance ingredients through a different production method.[2]
Filled in the side panel for invited readers. This card carries sourced facts only.
Aug 2026 · techcrunch.com
reported
Aug 2026 · crunchinsight.com
reported
Aug 2026 · beautymatter.com
reported
Aug 2026 · news.skinobs.com
reported
Aug 2026 · app.dealroom.co
reported
Aug 2026 · biznab.com
reported
Patina
Patina uses machine learning and molecular design to create new scent molecules for fragrance houses and brands.