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M

M7

M7 offers an AI‑powered workforce operations platform that forecasts nursing demand, auto‑balances schedules, and optimizes staff deployment across health systems. By integrating with existing payroll, HRIS, ERP, and EMR tools, it provides real‑time coverage visibility and analytics that reduce premium labor spend, administrative workload, and nurse turnover.

New York, United StatesFounded 2022603K+ followers
Updated 2 months ago

Funding

$6.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Healthcare facilities struggle with inefficient nurse scheduling, leading to high premium labor costs, excessive administrative workload, and elevated turnover rates. Manual processes and fragmented systems make it difficult to forecast staffing needs, balance schedules, and respond quickly to gaps in coverage.

Solution

M7 provides an AI‑powered workforce operations platform that forecasts nursing demand, automatically balances schedules, and optimizes staff deployment across all care sites. The system integrates with existing payroll, time‑keeping, ERP and EMR tools, creating a single interface for central staffing teams. Real‑time visibility of unit coverage lets supervisors anticipate gaps and float staff proactively, reducing reliance on costly premium labor. Auto‑balance algorithms incorporate nurse preferences, improving fairness and satisfaction while cutting the time managers spend on schedule creation by up to 60%. The platform delivers actionable analytics on labor spend, administrative burden, and turnover, enabling health systems to achieve measurable cost savings and higher staff retention.

Target Audience

Primary customers are nurse staffing and workforce management teams within hospitals and health systems, including central staffing offices, nurse managers, and nursing executives seeking to improve scheduling efficiency and reduce labor costs.

Features

  • AI-driven demand forecasting that surfaces staffing gaps before they occur
  • Auto‑balance scheduling engine that aligns shift assignments with nurse preferences and skill sets
  • Real‑time, unit‑level coverage dashboard for supervisors and central staffing offices
  • Seamless pre‑built integrations with payroll, HRIS, ERP, and EMR systems requiring minimal IT effort
  • Centralized interface that replaces disparate spreadsheets and manual tracking tools
  • Analytics suite reporting reductions in premium labor spend, admin time, and turnover rates
  • Onsite implementation, training, and dedicated success managers to ensure rapid adoption
This profile is AI-generated and may contain inaccuracies.