
Fragnatique Joins Tehnopol Startup Incubator
Fragnatique was selected for the 13th cohort of the Tehnopol Startup Incubator in Tallinn, one of 9 startups chosen from 97 applicants on 8 May 2026.
Read articleThe Fragnatique journal explains how fragrance actually works: how the notes pyramid behaves on skin, what separates the eight olfactory families, how a match score is calculated, and how a formula is composed and checked for compliance. Written for first-time fragrance buyers and working perfumers alike.

Fragnatique was selected for the 13th cohort of the Tehnopol Startup Incubator in Tallinn, one of 9 startups chosen from 97 applicants on 8 May 2026.
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Fragnatique, the AI perfume advisor by Appthos Studio OÜ in Tallinn, joined Microsoft for Startups on 10 July 2026, keeping a two-founder team out of infrastructure work.
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Fragnatique, the AI perfume advisor by Appthos Studio OÜ in Tallinn, joined the NVIDIA Inception Program on 10 July 2026, backing the compute behind its match scoring.
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Fragnatique, the AI perfume advisor by Appthos Studio OÜ in Tallinn, joined Claude for Startups on 3 July 2026, strengthening the reasoning behind every match.
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Fragnatique, the AI perfume advisor by Appthos Studio OÜ in Tallinn, received an ElevenLabs startup grant on 3 July 2026 to work on spoken fragrance guidance.
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Fragnatique, the AI perfume advisor by Appthos Studio OÜ in Tallinn, joined the AWS startup program on 25 June 2026, putting scalable cloud beneath the Scent Graph.
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Fragnatique, the AI perfume advisor by Appthos Studio OÜ in Tallinn, joined Cloudflare for Startups on 15 June 2026, adding a global delivery layer beneath its Scent Graph.
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What a perfume match score actually measures: the four data layers behind the percentage, why shared notes mislead, and where the score is honestly unreliable.
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Fragnatique's first retail partnership brings 30 curated niche fragrances from Fragrance Gallery Tallinn into the app, each mapped, scored, and explained.
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The fragrance notes pyramid explained: what top, middle and base notes actually are, why perfume opens with bergamot and dries down to sandalwood, and how to read any pyramid before you buy.
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A complete guide to the eight fragrance families with named examples from Tom Ford, Mancera, and Diptyque. For fragrance buyers who want clarity, not poetry.
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How to find your signature scent in 7 honest steps, without wasting money on full bottles: fragrance family, a sample list, skin testing, and the final call.
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An AI perfume advisor matches you with fragrances made for your taste. What one does, what separates a good one from a gimmick, and where the limits sit.
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