Innovation — Building the Measurement Infrastructure

Why Measurement Matters

Discrimination thrives in ambiguity. When a hiring manager perceives an employee’s natural hair as “unprofessional,” that perception is subjective, deniable, and — critically — unmeasurable. Without objective diagnostic tools, appearance-based discrimination remains confined to the realm of personal testimony. It cannot be quantified for research. It cannot be aggregated for policy. It cannot be presented as evidence in legal proceedings.

CROWN exists to close that gap. Our innovation programme builds the measurement infrastructure that transforms discrimination from something people experience into something institutions can see, measure, and address.

The Measurement Problem

Consider the current state of hair assessment. The Walker classification system — the familiar 1A through 4C scale — was designed as a consumer marketing tool, not a scientific instrument. It relies on visual assessment by untrained observers. It captures a single dimension (curl pattern) while ignoring fibre diameter, porosity, hydration, protein structure, cuticle integrity, and chemical treatment history. It produces inconsistent results across observers and lighting conditions.

This is not a foundation for research. It is not a foundation for law. And it is not a foundation for clinical care.

What the Fitzpatrick scale did for dermatology — providing an objective, reproducible classification system that enabled decades of subsequent research, clinical protocols, and regulatory standards — CROWN Hair DNA does for hair. Our diagnostic technology replaces subjective visual assessment with multi-sensor, hardware-verified measurement.

From Device to Data to Policy

CROWN’s innovation programme is not technology for technology’s sake. Every component serves a specific function within our broader research and advocacy mission:

The CROWN Diagnostic captures objective, multi-dimensional hair profiles in 60 to 90 seconds using four complementary sensor modalities. Each scan produces a CROWN Hair DNA profile — a comprehensive, reproducible characterisation of an individual’s hair properties across twelve or more dimensions.

The AI Classification Engine translates raw multi-modal sensor data — optical, spectroscopic, and electrical — into unified hair profiles that are consistent across all ethnicities. The classification system is designed from its architecture to provide equal accuracy for all hair types, ensuring that the historical underrepresentation of textured hair in diagnostic tools is addressed at the foundational level.

The CROWN Hair Commons aggregates anonymised profiles into Europe’s first open, multi-ethnic, sensor-verified hair dataset. This data infrastructure enables population-scale research on hair properties, discrimination patterns, and treatment outcomes that is simply not possible with existing proprietary datasets.

The CROWN Discrimination Index uses hardware-verified diagnostic data to calibrate survey-based discrimination measurement, producing the CDI — a composite metric that is more reliable than self-report alone.

Exploring Collaboration with ETH Zürich

CROWN is in advanced discussions with ETH Zürich, consistently ranked among the world’s leading technical universities. A professor in the Department of Biosystems Science and Engineering has expressed interest in exploring the supervision of student projects on multi-sensor hair diagnostic systems, which would create a structured pathway from semester projects through master’s theses to potential Pioneer Fellowship commercialisation.

This emerging relationship is designed to ensure that CROWN’s technology meets the standards of rigour expected of a research institution, not a consumer electronics company. Every engineering decision is subject to academic peer review. Every design choice is evaluated against the question: does this produce data that is reliable enough for published research?

Research Infrastructure, Not Consumer Product

CROWN’s diagnostic device is research infrastructure. It serves the same function in our ecosystem that an MRI machine serves in a hospital’s research programme — it is the instrument through which data is captured, standardised, and made available for analysis.

The distinction matters. A consumer product optimises for user experience, retail margins, and market adoption. Research infrastructure optimises for measurement precision, data integrity, reproducibility, and interoperability with existing scientific workflows. CROWN’s engineering decisions reflect the latter set of priorities.

Every scan performed by a CROWN Diagnostic contributes anonymised data to the CROWN Hair Commons. Every Commons profile strengthens the training dataset for the AI classification engine. Every improvement in classification accuracy produces more reliable CDI calibration. And more reliable CDI data produces more credible evidence for legislative advocacy.

This is a compounding cycle: better instruments produce better data, better data produces better science, better science produces better law, and better law produces better outcomes.

Open Questions

Science progresses by identifying what it does not yet know. CROWN maintains a transparent catalogue of open research questions — unsolved engineering and methodological challenges that represent opportunities for academic collaboration. These questions are not weaknesses to be concealed; they are invitations to the research community.

We believe that the most important work in anti-discrimination technology has not yet been done. CROWN’s role is to build the infrastructure, assemble the data, and create the partnerships that make that work possible.