What is the name of your organization?
Nexleaf Analytics
What is the name of your solution?
The Connected Clinic
Provide a one-line summary or tagline for your solution.
Empowering frontline health workers with AI-driven, real-time tools to keep medical equipment functioning and healthcare accessible.
In what city, town, or region is your solution team headquartered?
Los Angeles, CA, USA
In what country is your solution team headquartered?
United States
What type of organization is your solution team?
Nonprofit
Film your elevator pitch.
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What specific problem are you solving?
In low-resource health systems, up to 40% of lifesaving medical equipment—like vaccine refrigerators, oxygen concentrators, and diagnostic tools—is non-functional. While billions are invested annually in infrastructure and training, persistent equipment maintenance and support gaps remain. These silent failures aren’t due to a lack of equipment but a lack of systems to keep it functional. Governments urgently need tools to protect existing investments as global health funding shifts and shrinks. Frontline health workers, particularly in rural and underserved areas, are expected to manage complex equipment without sufficient access to data, technical guidance, or spare parts. Without a radical shift in operations, frontline facilities will continue to fail, and patients will suffer.
Traditional approaches to facility management are costly, infrequent, and not adapted to evolving, equipment-specific needs. Studies estimate that 10 million children receive ineffective vaccines yearly due to cold chain failures. Equipment breakdowns delay diagnoses, interrupt maternal and newborn care, and can even make facilities non-operational.
As health systems expand electrification and procure new devices, investments will fall short without scalable, accessible, and real-time maintenance solutions. Without innovative tools that empower frontline workers with on-demand support, health systems will continue to underperform, and patients will bear the consequences.
What is your solution?
Nexleaf’s Connected Clinic is an on-demand training and performance management platform utilizing generative AI and real-time sensor data to help health workers maintain critical medical equipment. It puts AI-powered tools directly in the hands of frontline health workers, transforming how infrastructure is maintained and workforce performance is supported. By pairing real-time data from medical equipment, including Nexleaf’s 45,000 deployed sensors, significant barriers to functional health systems—poor facility maintenance, fragmented training, and low accountability—can be solved.
Frontline health workers engage through WhatsApp, SMS, mobile apps, or web dashboards—accessing troubleshooting guides, training videos, and role-specific instructions in local languages. The platform extracts and simplifies technical manuals into digestible, actionable steps. It analyzes equipment data from equipment enabled with IoT sensors and via user interactions to detect potential failures, automate spare part orders, and flag urgent repair needs. Facility managers can use natural language queries to explore performance trends and prioritize interventions.
The system works with or without internet connectivity and accommodates diverse literacy levels through multimodal delivery (text, voice, video). By reducing reliance on in-person training and enabling proactive maintenance, Connected Clinic protects infrastructure investments and improves uptime, knowledge retention, and patient safety.
Who does your solution serve, and in what ways will the solution impact their lives?
Our solution directly serves frontline government health workers in low- and middle-income countries, including biomedical technicians responsible for maintaining lifesaving medical equipment and the patients who rely on this equipment, particularly mothers and children in underserved health systems.
Technicians struggle without immediate access to tailored support, delaying equipment repair. The Connected Clinic directly addresses this gap, providing on-demand knowledge previously unavailable to frontline staff in remote settings. This tailored support will enhance decision-making and operational capabilities for frontline health workers and their managers while fostering continuous learning. As users adopt best practices into their workflows, the tool evolves to meet emerging needs, driving continuous improvements in equipment performance and overall healthcare service delivery. This context-aware, interactive experience ensures reliable equipment functionality, enhances operational efficiency, and leads to better patient outcomes.
In the short term, 3,000 frontline workers in Malawi and Rwanda will access our AI-driven support, reducing equipment downtime by at least 50%. At scale, our platform will drive data-informed decision-making and system-wide resilience for tens of millions across low-resource health systems.
