engramly

Engramly Lab

From raw instrument data to a formulation you can read.

Engramly Lab serves R&D teams working on essential oils, fragrances and flavour systems. Before the raw data ever lands on your desk, we have already done the hard part — turning it into a readable composition breakdown your chemists can act on.

Formulation R&D·Fragrance replication·Flavour development·In-house QC

Use cases

Four research problems Engramly Lab solves.

Years of essential-oil and fragrance analysis distilled into one standardised delivery path. Below are the four scenarios our clients meet most often.

01 · Replication

Reverse-engineer a competitor formulation

You have the sample but no in-house recipe. We deliver a sorted base-oil composition list with a fit-quality assessment — a defensible starting point for the R&D team.

Deliverables: composition table · fit-quality note · chemist commentary

02 · Batch consistency

Track formulation drift across batches

Same product, different lots, customers start to say 'this batch smells off'. We compare the raw composition of each batch and surface the actual base oils that have moved.

Deliverables: batch-vs-batch table · key drifting components · trend chart

03 · Off-note tracing

Find the components that shouldn't be there

Solvents, diluents, stray fragrance singletons often dominate the signal and mask the real composition. We surface these outliers before the composition pass so your team can decide what to keep.

Deliverables: foreign-component list · impact assessment · before/after view

04 · Process validation

Quantify what storage or processing does to a recipe

Open storage, heating, humidity — the volatile top notes leave first, and the result reads like a formulation shift that isn't really one. We deliver an anchored comparison that separates process effects from real composition change.

Deliverables: before/after composition · key differences · chemist interpretation

What every run hands back

You receive a structured deliverable, not a one-line verdict.

  • Sorted base-oil composition list — from dominant down to trace
  • Fit-quality note with a confidence grade and plain-language reading
  • Foreign-component list (solvents, diluents, anything outside the reference library)
  • Largest-residual components flagged for chemist review
  • Cross-sample summary table when more than one mixture is submitted
  • Scope statement — what this report does and does not cover

Fit-quality illustration · the whiter, the more the reference library has explained that region

Sample deliverable

See exactly what a report looks like.

Below is the structure of a typical Engramly Lab deliverable. All numbers, client codenames and lot identifiers are illustrative — the point is to show what arrives in your inbox at the end of a job.

Illustrative report · all data anonymised · structure matches real deliverables