About Nable AI
Nable AI builds human-centred staffing intelligence to help hospitals, long-term care homes, and education organisations create fair, safe, and efficient schedules. Our technology reduces administrative burden, supports staff well-being, and improves operational stability across shift-based workplaces.
We combine AI, smart rules, and deep industry insight to ensure every schedule is fair, transparent, and grounded in real-world staffing needs.
Our Story
We started Nable AI to tackle a critical challenge shared across healthcare and other shift-based industries: chronic staffing shortages, unfair scheduling, and rising burnout.
For years, frontline workers have carried the weight of inconsistent staffing, last-minute changes, unsafe workloads, and inequitable shift distribution. These issues affect not only hospitals and LTC homes, but also colleges, school boards, and government-run operations where staffing is essential.
We knew there had to be a better way.
Our team brings together expertise in AI, education design, workforce planning, and healthcare operations. We've spoken with nurses, nurse chargers, frontline managers, administrators, and educators to understand their daily challenges. We built Nable AI to do more than generate schedules — we built it to support the people who make our systems work.
Our Mission
To empower organisations with intelligent, transparent scheduling tools that prioritise fairness, well-being and operational efficiency.
Our Vision
A future where every shift-based worker — across healthcare, education, and public-sector operations — feels supported, valued, and treated fairly by their schedules.
When organisations schedule with fairness and clarity, burnout decreases, staff stay longer, and communities receive better care and services.
Our Core Values
Fairness
We design AI that distributes workloads equitably and transparently, ensuring every schedule supports a balanced workforce.
Transparency
We believe AI should be understandable. Every scheduling recommendation comes with clear explanations — no black boxes, no hidden logic, and no unwritten rules. Managers and staff can see why decisions are made and what factors are considered.
Well-Being
Shift-based work is demanding. Our platform highlights fatigue risks, rest needs, and workload patterns to help prevent burnout and support long-term staff health.
Innovation
We're advancing what's possible in workforce management. From fairness-driven optimisation models to predictive staffing tools, our technology helps organisations solve complex scheduling challenges with clarity, equity, and measurable operational impact.
Privacy
Protecting organisational and staff data is essential. Our platform uses encryption, secure infrastructure, and role-based access controls designed to meet the requirements of PHIPA, HIPAA, GDPR, and SOC 2 as we progress toward full compliance. We are committed to building a security framework that supports safe, responsible, and future-ready deployment across healthcare and public-sector environments.
Our Founding Team
CEO & Founder
Instructional design and healthcare education leader with experience supporting complex operational workflows in hospitals and public-sector organisations. Specialises in human-centred design, change management, and workforce training. Brings a practical, user-focused approach to ensuring AI tools work for real people in real environments.
Expertise: Product design, user experience, training strategy, healthcare operations, customer success
CTO & Founding Engineer
AI engineer and technical builder with proven startup experience. Former founding engineer at an AI video platform that raised venture funding. Skilled in machine learning, optimisation algorithms, cloud infrastructure, and scaling early-stage products into production-ready systems.
Expertise: AI/ML engineering, system architecture, cloud systems, startup scaling, technical partnerships
Founding Engineer
Engineer specialising in designing and implementing the algorithms that power Nable AI's scheduling engine. Focuses on translating optimisation concepts into production-ready code, building the logic that supports fairness, workload balance, staffing rules, and real-time decision-making across complex scheduling environments.
Works across the full algorithm lifecycle — from rule interpretation and constraints modelling, to system optimisation, testing, and performance tuning — ensuring the scheduling engine is accurate, efficient, and scalable.
Expertise: Scheduling logic design, optimisation implementation, rule-based systems, algorithm engineering, system integration, performance optimisation
Founding Engineer
Full-stack engineer with expertise in front-end and back-end development, system integration, and applied AI. Focuses on building product features, performance optimisation, and implementing AI-driven capabilities including voice recognition and workflow automation. Brings strong execution skills and end-to-end product delivery experience.
Expertise: Full-stack development, product engineering, AI integration, voice recognition systems, UI/UX implementation
Ready to transform your workforce scheduling?
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