Scientific Infrastructure

Predictive intelligence
for cosmetic R&D

FM Labs Hairtech is building scientific infrastructure designed to support faster and more informed formulation decisions for textured hair products.

From trial-and-error → to predictive formulation.

Platform Preview

A first look at the formulation intelligence platform.

Scientific decision support for cosmetic R&D — translating ingredient chemistry into structured, objective-driven formulation guidance for textured hair.

FM Labs · Formulation Intelligence v0.4
Formulation Objective
Repair
Hair profileCoily hairHigh porosityChemically damagedDryness level:High
Ingredient Intelligence3 selected
IngredientSaturationKey Fatty AcidsFunctional SupportMatch
Murumuru Butter
90%High
Lauric Acid
Myristic Acid
Palmitic Acid
  • Cuticle sealing
  • Lipid replenishment
  • Repair support
92%
High match
Ucuuba Butter
100%Very High
Lauric Acid
Myristic Acid
  • Structural lipid repair
  • Severe dryness support
  • Barrier reinforcement
95%
High match
Babassu Oil
85%High
Lauric Acid
Myristic Acid
Oleic Acid
  • Penetration support
  • Lightweight lipid replenishment
  • Fiber flexibility
88%
High match
Lipid Balance Overview
SaturationChainLengthPenetrationFilm FormingLipidRepair
Current blend Optimal range
Formulation Compatibility
92%
Predicted compatibility
High compatibility
Repair Affinity
Cuticle Repair95%
Lipid Replenishment92%
Barrier Strength93%
Moisture Retention90%
Formulation Recommendation
Suggested combination aligned with repair-focused textured hair formulations.
This blend supports structural repair, lipid replenishment, and cuticle integrity.
Murumuru Butter45%
Ucuuba Butter30%
Babassu Oil25%
Ingredient intelligence Fatty acid mapping Formulation support Compatibility analysis
Market Context

A growing market with underserved scientific infrastructure.

01 · Global baseline
65–75%

of women globally have textured hair

02 · Latin America
70%+

of Brazilians have hair curvature

03 · Consumer signal
31%

of consumers believe there are not enough suitable products for textured hair

04 · Behavior gap
81%

resort to DIY hair mixtures due to unmet needs

Despite growing demand, cosmetic R&D for textured hair still relies on fragmented information, manual processes, and trial-and-error formulation.

Industry Problem

The formulation challenge.

Cosmetic formulators operate in an environment where critical inputs are scattered, performance is unpredictable, and every iteration costs time and capital.

Inputs · What formulators face
  • 01Fragmented ingredient information
  • 02Incomplete technical literature
  • 03Low predictability in formulation outcomes
  • 04Limited time for strategic decision-making
Outcomes · Industry cost
  • 01Multiple reformulation cycles
  • 02Higher R&D costs
  • 03Slower time-to-market
  • 04Inefficient product development
Current MVP

A structured ingredient intelligence workflow.

A simple, formulator-facing workflow that turns objective-driven inputs into structured ingredient suggestions.

STEP · 01

Define formulation objective

The formulator selects a target outcome — hydration, nutrition, or repair.

HydrationNutritionRepair
STEP · 02

Structure ingredient information

The system organizes ingredients by fatty acid composition and functional role.

Fatty acid compositionFunctional role
STEP · 03

Receive aligned suggestions

The user receives ingredient recommendations matched to the chosen objective.

Repair → Murumuru, UcuubaNutrition → Avocado, Olive
Product Foundation

What powers the system.

The current infrastructure is built on a structured ingredient layer designed to support cosmetic R&D for textured hair.

DB-01

Ingredient database

Initially focused on oils and butters relevant to textured hair.

DB-02

Fatty acid mapping

Composition profiles structured for analytical comparison.

DB-03

Functional organization

Ingredients categorized by their role in formulation.

DB-04

Formulation-oriented data

Information structured to support practical R&D decisions.

The platform is currently operating in a semi-structured way while the scalable infrastructure continues to be developed.

Who We Serve

Built for the infrastructure behind textured hair innovation.

01

Cosmetic R&D laboratories

Predictive support for formulation development cycles.

02

Cosmetic manufacturers

Structured ingredient intelligence at production scale.

03

Emerging cosmetic brands

Faster, more defensible product development for textured hair.

Value

Strategic value for cosmetic R&D.

M01

Reduce formulation time

Compress development cycles through structured guidance.

M02

Lower R&D costs

Fewer reformulation loops and wasted laboratory hours.

M03

Improve formulation efficiency

Align ingredient choices with formulation objectives.

M04

Faster decision-making

Structured intelligence at the point of formulation.

M05

Smarter textured hair innovation

Built specifically for the structural complexity of textured hair.

Vision

Building the future infrastructure
for textured hair formulation.

FM Labs Hairtech aims to transform cosmetic formulation from a trial-and-error process into a faster and data-informed system.

◆ FM Labs Hairtech

Be part of the future
of cosmetic formulation.

Built for formulators, laboratories, and cosmetic brands developing textured hair products.