LineRefine
LineRefine provides an AI-driven aesthetic record for medical spas that captures treatment data and analyzes patient facial scans between visits to time rebooking prompts to actual product wear-off. The platform closes the rebooking gap, preserves injector knowledge, and documents results that justify premium pricing, with early pilot data showing up to 30% fewer touch-up visits.
- Healthcare Technology
- Artificial Intelligence
- Digital Health
- Software Only
- Marketing Technology
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Med spas lose roughly 27% of their patient base annually, with the average patient rebooking toxin treatments at 4.8 months despite products wearing off at 12–16 weeks. This rebooking gap, combined with injector turnover that removes patient knowledge and revenue, costs practices tens of thousands of dollars per year in replacement marketing and lost visits.
Solution
LineRefine creates an AI-driven aesthetic record that works between patient visits, capturing treatment data—doses, placement maps, response curves, and wear-off profiles—that would otherwise evaporate after each appointment. Patients are prompted to rescan their faces at home, and AI analyzes the images to determine when the treatment has actually worn off, triggering a rebooking prompt with a personalized reference for the injector. This timing aligns rebookings with the patient's actual biological response rather than an arbitrary calendar, closing the rebooking gap and adding approximately one extra visit per patient per year. The platform also institutionalizes practice memory so that when an injector leaves, their replacement can treat patients as if they had read the file, and provides documented analysis and tracked results that justify premium pricing against discount chains.
Target Audience
Independent medical spas and aesthetic practices with active toxin treatment programs, particularly those with 300+ active patients facing competitive pressure from chain competitors.
Features
- AI-driven facial scan analysis that detects true treatment wear-off timing and triggers rebooking prompts with personalized injector references
- Persistent treatment records capturing doses, placement maps, response curves, and wear-off profiles that survive injector turnover
- Patient-facing timeline showing side-by-side scan comparisons from peak effect through wear-off, encouraging continued engagement
- Retention dashboard sorted by urgency, showing overdue patients, nudged patients, and upcoming rebooking windows with annual revenue value
- HIPAA-compliant infrastructure with unlimited injector support and no per-seat fees
- Early pilot data showing up to 30% fewer touch-up visits, reducing operating costs