How we work
Projects
Client
Meela
Technologies
Node.js
Python
React
Industry
MedTech
About
Meela matches patients to therapists using a research-based algorithm. It factors in personal preferences, psychological needs, and symptoms to find the right fit. Over 300 psychotherapists and psychologists are connected to the platform in Sweden.
Meela had the algorithm
Every match was done manually, using Excel sheets. Staff compared patient questionnaires to therapist profiles by hand, scheduled appointments manually, and moved data between steps one by one. From questionnaire submission to therapist selection: 7 to 15 days.
When a match was made, the data didn’t carry forward. Information about ongoing sessions, progress, and follow-ups was lost after each handoff. The algorithm couldn’t improve because the feedback loop didn’t exist.
Meela needed a system that ran the matching automatically, kept the data intact, and could scale.
What we built
Super admin, therapist, and patient. Each role sees and manages only what’s relevant to them.
Patient onboarding runs through Bank ID. No manual verification, no back and forth.
The questionnaire collects symptoms, preferences, and needs. Once submitted, the algorithm runs and therapist recommendations appear immediately, with full profiles and feedback visible right away. What previously took 7-15 days now happens in real time.
The platform works across all devices. Desktop, tablet, phone, same experience.
We built it as an MVP, which gave Meela a solid base to launch in Sweden and raise funding. The architecture is built to add features without restructuring. As the user base grows, performance stays consistent.
Automation removed the manual steps entirely. No Excel, no human comparison, no data lost between handoffs. Patient progress, session history, and therapist feedback are tracked through the full therapy journey.
Natali Suo
Co-founder at Meela
The
