Olfaia replaces manual IFRA spreadsheets, scattered formula files, and institutional knowledge gaps with a single AI-powered intelligence layer — purpose-built for fragrance R&D labs.
The EU just tripled the allergen list your team must track. Every formula now requires checking 82 separate allergens across every ingredient — manually, in Excel, every single time.
Hand-checking IFRA limits in spreadsheets is a guaranteed source of hidden failures. One miscalculation on a restricted molecule — Lilial, Lyral, isoeugenol — and your formula fails compliance late in the cycle, forcing costly reformulation from scratch.
Formula v7_FINAL_revised_approved_2.xlsx. Sound familiar? Without version control, your team works from conflicting copies, duplicates effort, and loses critical iteration history. When your senior perfumer is unavailable, institutional knowledge disappears with them.
Building in-house AI costs €3.4M over five years — hardware, GPU infrastructure, DevOps engineers, maintenance. Enterprise LIMS implementations take 12 to 18 months. Your lab needs results in weeks, not years.
Upload your formula library. Connect your existing data. Ask anything. Olfaia becomes the AI intelligence layer your lab has been missing — live in six weeks, not eighteen months.
Upload any formula and get an instant compliance report against the full 51st Amendment — all 82 EU allergens calculated automatically across every ingredient and pre-mix. No spreadsheet. No manual calculation. No hidden failures.
Ask your formula library anything. "What concentration of Hedione did we use in the 2023 floral brief?" "Which of our bases contain Lilial?" Your entire R&D history becomes instantly searchable through natural language.
When a restricted molecule needs replacing, Olfaia suggests compliant alternatives ranked by olfactory similarity, cost impact, and availability — so your perfumers spend time creating, not researching.
Your perfumers' expertise is your most valuable asset. Olfaia captures and centralises every formula decision, iteration, and insight — so institutional knowledge survives holidays, departures, and team changes.
Enterprise AI platforms like Givaudan Carto and Symrise Philyra are built for the top 10 fragrance houses — with hardware requirements, robotics, and multi-million budgets to match. Olfaia is built for everyone else.
| Capability | OLFAIA | Enterprise LIMS / PLM | In-house AI Build |
|---|---|---|---|
| IFRA compliance automation | ✓ Instant | Partial — manual setup | ✗ Build from scratch |
| Natural language formula Q&A | ✓ Built-in | ✗ Not available | Possible — 12+ months |
| Onboarding time | ✓ 6 weeks | ✗ 12–18 months | ✗ 18+ months |
| Hardware / infrastructure required | ✓ None — cloud SaaS | ✗ On-premise servers | ✗ GPU cluster €500K+ |
| Upload your existing Excel formulas | ✓ Day one | Partial — migration project | ✗ Custom build needed |
| Price point | ✓ From €499/mo | ✗ €50K–200K/yr | ✗ €3.4M over 5 years |
| DevOps team required | ✓ None | Partial | ✗ 2–3 FTE engineers |
All plans include onboarding support and access to IFRA compliance updates. Cancel anytime.
Book a live demo. Bring a real formula from your lab. We'll run a full IFRA compliance check and Q&A session live — no slides, no pitch deck.
info@tbsconsulting.net