Molar

Dental practices are complex ecosystems. A single treatment can involve a receptionist scheduling the appointment, a dentist managing the patient record and treatment plan, a dental lab receiving and manufacturing a crown or appliance, and then a return visit to fit and sign off the work. In most clinics, all of this is tracked across paper files, phone calls to the lab, and fragmented software tools that don't talk to each other. The challenge with Molar was not just building features — it was designing a unified data model that could connect all four stakeholders without introducing friction for any of them. Lab case tracking alone required building a full lifecycle state machine: order placed, received by lab, in production, quality check, dispatched, received by clinic, fitted. Every state change needed to be visible to the right people in real time.

We architected Molar as a multi-tenant Next.js and NestJS application backed by PostgreSQL, with role-based access control at every layer. The system has four primary modules that all share a single relational data layer: Doctor Management, Patient Management, Lab Management, and Lab Cases (full case lifecycle from digital impression order through to delivery and fitting confirmation). A real-time notification layer ensures that when a lab updates a case status, the assigned doctor and reception team see it instantly. The frontend is built for speed — clean dashboards per role, designed to be usable by non-technical dental staff with zero training overhead.