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AvaSure
AvaSure, founded by Brad Playford in 2008, deploys AI-driven video monitoring across 1,000+ hospitals to prevent patient falls and manage clinical risk.
AvaSure
Brad Playford established AvaSure in 2008, recognizing that continuous video monitoring combined with early-stage AI could address a persistent hospital liability: un-witnessed patient falls. The Belmont, California firm developed a purpose-built platform that integrates fixed and mobile cameras with algorithmic alerting, allowing a single remote monitor technician to watch multiple patients simultaneously, rather than relying solely on floor nurses stretched across units. AvaSure deploys deep learning, computer vision, and natural language processing across its hardware-software stack to detect patient movement patterns that predict falls, elopement risks, and self-harm events. The platform functions as a clinical decision-support layer, not passive recording — it triggers real-time verbal interventions and escalation workflows within existing nurse-call infrastructure. Confirmed deployments include major health systems such as HCA Healthcare, Ascension, and Providence, with the firm reporting over 1,000 hospital customers by 2024 (per the firm's official communications, 2024). The installed base covers acute-care hospitals, behavioral health units, and emergency departments across the United States, with limited international pilots in Canada. As of late 2023, AvaSure closed a strategic growth investment from Waud Capital Partners, a Chicago-based private equity firm focused on healthcare services and technology (per Waud Capital, November 2023). This transaction marked a transition from bootstrapped founder-operator scaling toward institutional sponsorship, with Brad Playford stepping into a Board role and Adam McMullin named CEO to lead the next phase. The firm employs a direct-enterprise sales model targeting chief nursing officers and risk-management leadership, with hardware-as-a-service pricing that bundles cameras, software licensing, and 24/7 algorithmic monitoring. The company does not operate a philanthropic foundation or adjacent venture arm. AvaSure is one of a small set of firms operating with a dedicated clinical AI mandate inside hospital operations, distinct from EHR-centric analytics companies or broader telehealth platforms. Its structural differentiator is the closed-loop integration of physical hardware, real-time edge inferencing, and clinical workflow software — a combination that creates both a high switching-cost moat inside hospital IT environments and a proprietary dataset of annotated clinical video that trains its next-generation models.
General information
Firm type
Asset Manager
Year founded
2008
AUM
Undisclosed
Location
Region
North America
Country
United States
City
Belmont
Corporate office
Belmont, CA, United States
Principals
Brad Playford
Founder & Managing Partner
Sector focus
Frequently asked questions
What specific problem does AvaSure's platform solve inside hospitals?
AvaSure addresses un-witnessed patient falls, elopement, and self-harm events — three of the most expensive and common liability categories in acute-care settings. Its platform replaces periodic in-room checks with continuous AI-driven video monitoring, where computer vision models detect risky patient movements and trigger immediate verbal interventions. Hospitals report substantial reductions in fall rates and sitter costs following deployment, supported by clinical studies citing 50–80% declines in fall-related incidents.
Who currently owns and governs AvaSure after the Waud Capital transaction?
Waud Capital Partners, a Chicago-based private equity firm, made a strategic growth investment in AvaSure in November 2023, acquiring a controlling interest. Founder Brad Playford transitioned to Board Chair at that time, and Adam McMullin, a healthcare technology executive with prior CEO experience at HealthSparq, was appointed CEO. The governance structure reflects a PE-backed growth posture with founder continuity at the board level.
How does AvaSure's AI differentiate from passive video monitoring or simple motion detection?
AvaSure's platform applies deep learning and computer vision to interpret patient behavior — not just detect motion. The system classifies specific risk poses, such as a patient attempting to rise unassisted, and triggers graded interventions ranging from automated verbal prompts to direct staff alerts via existing nurse-call infrastructure. This inferencing occurs on edge hardware within hospital walls, avoiding cloud-dependent latency or external data exposure, which is critical for hospital compliance.
What is AvaSure's commercial model — hardware sale, SaaS, or bundled service?
AvaSure operates on a hardware-as-a-service model that bundles fixed and mobile camera units, software licensing, and 24/7 algorithmic monitoring into a single per-bed, per-month fee. This includes access to trained remote monitoring technicians who escalate to on-site staff when automated interventions are insufficient. The model aligns with hospital capital-avoidance preferences, shifting video surveillance from a large upfront capex line item to an operating expense.
Which health systems have publicly disclosed AvaSure deployments?
AvaSure has publicly confirmed deployments with HCA Healthcare, Ascension, and Providence, among other large health systems, representing over 1,000 hospital facilities as of 2024. These relationships span acute-care medical-surgical units, behavioral health settings, and emergency departments. The firm's direct-enterprise sales motion targets chief nursing officers and patient safety leaders rather than traditional IT procurement channels.
Does AvaSure participate in fund commitments or operate as a venture firm?
No. AvaSure is a single-line operating company that develops and deploys a clinical AI platform — it does not invest in external funds, make venture commitments, or operate as a family office or fund manager. Its capital structure is institutional private equity via Waud Capital Partners, and its deployment activity consists of internal product development and enterprise sales, not portfolio investing.
What are the primary competitive moats around AvaSure's position in hospital video AI?
Three structural moats protect AvaSure's position: a large installed base of proprietary camera hardware inside hospital IT environments, creating high physical switching costs; a multi-year dataset of annotated clinical video that trains increasingly accurate computer vision models, representing a data network effect; and deep integration with nurse-call and electronic health record workflows, which means removal disrupts clinical operations. No broad-based EHR vendor or telehealth platform has replicated this integrated hardware-software-AI stack at comparable scale in the acute-care video monitoring segment.
Profile maintained by Altss using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.
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