Hair Loss Classification AI
ProductionNorwood/Ludwig pattern classification with confidence-aware photo quality gates and multi-view consensus.
Production calibration92%
HairAudit · Engineering progress
Platform engineering
HairAudit intelligence infrastructure — built in public.
Live progress on clinical intelligence modules, patient experience workstreams, and shipped platform updates. Percentages and statuses are updated manually as engineering milestones land.
Intelligence grid snapshot
Live / production
2
of 8 modules
Avg completion
77%
intelligence modules
In development
4
active modules
Updated from src/content/platformProgress.ts. Engineering culture: ship, measure, publish.
Mission
Building independent intelligence infrastructure for global hair restoration transparency.
HairAudit is engineering the world's first independent intelligence infrastructure for global hair restoration transparency — structured evidence review, procedural analytics, and outcome signals that operate outside clinic marketing and referral economics.
Operating principles
- Evidence-first review architecture, not promotional scoring.
- Patient clarity and professional rigor on separate, intentional surfaces.
- Continuous deployment of clinical intelligence modules with public accountability.
Intelligence Engine
Intelligence Engine progress grid
Eight core modules powering HairAudit procedural analytics, donor and recipient review, and outcome signals. Completion percentages reflect engineering readiness — not marketing claims.
Donor Intelligence Engine
LiveDonor density mapping, extraction pattern review, and overharvest risk signals from standardized photo sets.
Live audit integration88%
Recipient Intelligence Engine
Pilot ReadyRecipient zone density distribution, placement pattern analysis, and hairline design realism scoring.
Pilot validation84%
Repair Procedure Intelligence
Active DevelopmentRepair-case detection, prior-work artifact handling, and structured guidance for corrective procedure documentation.
Model refinement71%
Graft Requirement Engine
Active DevelopmentEvidence-based graft range estimation with donor reserve constraints and realistic density targets by zone.
Benchmark alignment79%
Outcome Prediction Engine
Active DevelopmentLongitudinal outcome modeling from structured case timelines, technique metadata, and photo progression.
Dataset expansion58%
Procedural Risk Intelligence
Active DevelopmentRisk stratification for donor overharvest, unnatural design, and technique inconsistency from audit evidence.
Signal hardening65%
Patient Recommendation Engine
Pilot ReadyPatient-safe next-step guidance, monitoring intervals, and discussion prompts derived from audit findings.
Plain-language layer76%
Status legendLiveProductionPilot ReadyActive DevelopmentInfrastructure Complete
Patient experience
Patient experience progress
UX surfaces actively being improved — intake clarity, report readability, and accessibility for global patients seeking independent review.
Engine rollup
Patient Upload Experience
End-to-end patient surfaces — pathway routing, intake, uploads, processing UX, and report delivery — measured against production readiness.
Pre-Surgery Review Infrastructure
Pathway A — planning before surgery.
Dedicated pre-surgery planning report with pathway-specific planning outcomes, suitability scorecards, graft range estimates, donor review, preservation guidance, and premium PDF generation.
Patient Report Experience
Patient-facing report clarity and actionability.
Premium report opening, pathway-specific scorecards, review sections, image assessments, trust messaging, and recommended next steps across pre- and post-surgery reports.
Dual Pathway Report Architecture
Pre-surgery planning intelligence vs post-surgery procedural review.
Separate pre-surgery planning and post-surgery audit report pipelines — dedicated generators, UI shells, PDF templates, and summary storage per pathway.
Independent Patient Intelligence
Independent credibility and clinical neutrality.
Pathway-scoped intelligence execution, patient-safe narrative generation, donor and suitability signals, and mapping into dedicated report output without clinic bias.
Patient Pathway Architecture
Pre-Surgery Review and Post-Surgery Audit split at intake.
Homepage dual-pathway entry, case creation routing, and pathway persistence across the patient funnel.
Post-Surgery Audit Infrastructure
Pathway B — independent post-surgical procedural review.
Dedicated post-surgery premium procedural review report with separate rendering, procedural integrity scoring, concern detection, image intelligence, trust architecture, repair guidance, and premium PDF generation.
Pre-Surgery Review Infrastructure
Pathway A — planning before surgery.
Dedicated pre-surgery planning report with pathway-specific planning outcomes, suitability scorecards, graft range estimates, donor review, preservation guidance, and premium PDF generation.
Guided photo intake
Reduce incomplete submissions and retake cycles.
Step-by-step capture guidance with quality feedback before submission.
Post-op timeline upload
Support growth-phase interpretation over time.
Multi-stage timeline capture with month markers and optional clinic document attachment.
Mobile patient dashboard
Meet patients where they review results.
Responsive case status, report access, and secure re-upload from mobile devices.
Accessibility & localization
Global reach with medically credible presentation.
WCAG-oriented contrast, keyboard flows, and expanded locale coverage for public surfaces.
Changelog
Public engineering changelog
Chronological record of shipped platform work — intelligence modules, patient UX, and infrastructure milestones.
Latest ship
Jun 21, 2026
HA-REPORT-4A deployed
HA-REPORT-4A deployed
Jun 21, 2026Patient ExperienceHairAudit now generates a dedicated Pre-Surgery Planning Report for patients considering treatment, with pathway-specific planning outcomes, suitability scorecards, graft range estimates, donor review, preservation guidance, and a premium PDF template.
HA-REPORT-4B deployed
Jun 21, 2026Patient ExperienceHairAudit now generates a dedicated post-surgery premium procedural review report with separate rendering architecture, procedural integrity scoring, concern detection, image intelligence, trust architecture, repair guidance, and premium PDF generation.
HA-DUAL-PATHWAY-1 deployed
Jun 21, 2026Patient ExperienceHairAudit now supports two patient pathways end-to-end: Pre-Surgery Review and Post-Surgery Audit. Each pathway has dedicated upload requirements, intake logic, intelligence execution, and report focus areas.
Donor Intelligence Engine — live in production audits
Jun 18, 2026IntelligenceDonor density analytics and extraction pattern review now run on all eligible patient audit intakes with reviewer override hooks.
Guided photo intake v2
Jun 10, 2026Patient ExperienceReal-time quality hints, angle diagrams, and incomplete-set warnings shipped to the patient upload flow.
Hair Loss Classification — production calibration complete
Jun 2, 2026IntelligenceMulti-view classification consensus and photo-quality gates promoted from pilot to production scoring pipeline.
Platform progress page published
May 22, 2026PlatformPublic engineering progress surface for intelligence modules, patient UX workstreams, and shipped changelog entries.
Audit report plain-language layer
May 14, 2026Patient ExperienceStructured finding summaries and discussion prompts added to patient-facing report exports.
Intelligence infrastructure baseline
May 1, 2026InfrastructureCore module orchestration, evidence schema, and reviewer workflow infrastructure marked complete for v1 audit pipeline.
Stay close to the build
Independent review, engineered in the open.
HairAudit publishes progress so patients and professionals can see how clinical intelligence and patient experience evolve — with the rigor expected of enterprise medical infrastructure.