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Scheduling software for digital health clinics to do more with less.
Digital Clinics are facing an existential problem - fix margins, or die. We’ve built a clinic, and seen the tech they need to fix their margins. Now we’re bringing this tech back to other clinics. For our first customer, we’re projected to generate $2.5M in revenue.
Untether Labs provides AI-driven workforce management and scheduling for healthcare, aiming to minimize administrative toil and optimize care team utilization. It positions itself as an operating system for healthcare staff, with AI scheduling, careops automation, and integrations to reduce premium labor spend and improve patient access.
The product builds optimized schedules in seconds by considering costs, coverage targets, provider rules (contracts, licenses, skills), and integrates with HRIS and EHR systems. It offers an AI agent to automate workload tasks like callouts and coverage gaps, a unified view for shifts, time tracking, PTO, utilization, and availability, self-serve mobile access for providers, predictive analytics to reduce premium spend, and two-way integrations with HRIS/EHR to keep data in sync. Implementation includes co-design with customers, customization of rules and workflows, and fast ROI delivery including predictive analytics and ROI-driven milestones.
Who it’s for: Healthcare organizations with staffing and scheduling challenges, including digital health clinics and health systems seeking to improve access, reduce administrative overhead, and optimize clinician utilization.
Hiring mentions (leadership team and engineers listed) and customer-focused ROI messaging; mentions of beta and requesting demos imply early commercial traction and deployment readiness.
ex-Uber, ex-Headspace, repeat founder, Waterloo Engineer
We help clinics schedule their doctors and patients, to improve margins and access to care.
UntetherLabs launches a digital clinic platform for clinics, offering an all-in-one SaaS tool for scheduling, reporting, and forecasting to improve margins and match doctor supply with patient demand across varied care models. The product targets clinics and aims to help them optimize scheduling and utilization while forecasting demand.
From the original launch (Mar 2023) — may be outdated.
Transforming how health systems optimize labor
Automating repetitive processes in healthcare
