AI-powered IoT companion platform delivering real-time air quality intelligence, predictive maintenance, and compliance reporting for healthcare and regulated indoor environments.
AirShield is a full-stack IoT companion platform built for a US-based university startup in collaboration with the US Department of Defense. The platform connects to proprietary air purification hardware deployed across hospitals, clinics, assisted living facilities, schools, and commercial spaces delivering continuous air quality telemetry, AI-driven maintenance advisories, and exportable compliance documentation.
CodesClue delivered the complete product from early MVP through scaled production, covering firmware integration, native iOS and Android companion apps, a fully serverless AWS cloud backend, and an ongoing post-launch iteration cycle.
AirShield connects to proprietary air purification hardware across regulated indoor environments, providing 24/7 real-time sensor telemetry, automated maintenance alerts, and audit-ready compliance exports all through native iOS and Android companion apps backed by a 100% serverless AWS infrastructure.
The platform serves hospitals, clinics, assisted living facilities, schools, and commercial spaces where air quality directly impacts patient safety, regulatory standing, and operational continuity. Built in collaboration with the US Department of Defense, every technical decision was made to defense-grade standards of device reliability, data integrity, and environmental performance.
We engineered a scalable IoT platform that turns real-time air quality data into actionable insights for healthcare operators. From telemetry and AI-based maintenance to audit-ready reporting and simplified UX, the solution was built to improve reliability, compliance, and day-to-day operational efficiency.
Designed a continuous IoT data pipeline using AWS IoT Core with bidirectional MQTT communication, capturing pathogen levels, PM2.5, disinfection cycle data, and device performance metrics around the clock. Versioned DynamoDB schemas accommodate new sensor types as hardware evolves without disrupting existing telemetry streams. Offline buffering was built into the companion apps to handle healthcare network restrictions with zero data loss.
Integrated a machine learning layer that continuously analyses device performance trends to detect early degradation signals before failures occur. Purification cycles adapt automatically based on detected air quality patterns, reducing unplanned downtime in live healthcare environments. Maintenance advisories are surfaced directly to facility operators through push notifications, enabling action before critical thresholds are breached.
Built exportable air quality and disinfection cycle reports structured for regulatory submissions and accreditation audits across all facility types. Full audit trail maintained with historical retention covering device uptime, firmware update events, zero-emission compliance status, and timestamped telemetry records. Role-based access ensures compliance viewers get read-only access to reports without exposing operational controls.
Post-MVP UX iteration was driven directly by real-world feedback from deployed facility staff with no technical background. Complex air quality metrics were translated into clear, actionable dashboards with threshold alerts, device status indicators, and maintenance advisories designed for maintenance operators not engineers. Significant iteration cycles refined the interface based on how facility teams actually used the product in the field.
Healthcare IoT is a uniquely demanding environment. Every technical decision carried real consequences for patient safety, regulatory standing, and operational continuity.
Continuous sensor data from many simultaneous devices across multiple facilities threatened write bottlenecks at the data layer. The challenge was sustaining reliable ingestion at high throughput without introducing latency or data loss across an expanding device fleet.
Complex air quality metrics PM2.5 readings, pathogen detection levels, disinfection cycle data, needed to be understood and acted upon by facility maintenance staff with no data or engineering background. The risk was building a technically accurate product that operators couldn't effectively use in the field.
Strict firewall policies in hospitals and clinics meant that network connectivity gaps were unavoidable during day-to-day operations. Any architecture that assumed continuous connectivity would result in telemetry data loss at precisely the environments where data integrity mattered most.
Updating firmware across active healthcare deployments without interrupting purification cycles was a uniquely high-stakes challenge. A failed or poorly sequenced OTA update in an operating theatre or ICU carries direct consequences for patient safety and facility compliance status.
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Addressed telemetry throughput through batched write patterns and DynamoDB table configuration optimised for high-frequency IoT workloads. This approach sustained reliable ingestion across growing device fleets without traditional backend scaling overhead, leveraging AWS managed services to handle volume automatically.
Conducted structured UX iteration cycles based on direct feedback from facility managers and maintenance staff using the deployed product. Dashboard layouts, alert thresholds, and notification language were refined specifically for non-technical users simplifying complex air quality data into clear status indicators and actionable advisories.
Built local data buffering into the iOS and Android companion apps to capture and queue telemetry during network-restricted periods. Data syncs automatically when connectivity is restored, ensuring zero telemetry loss regardless of hospital or clinic firewall conditions.Designed the platform to be flexible, allowing quick adaptation to changing legal requirements across different regions.
Designed an OTA update mechanism with staged rollout sequencing that protects active purification cycles throughout the update process. Incremental deployment ensures only a subset of devices update at any time, with rollback capability ready if anomalies are detected maintaining operational continuity across live healthcare environments.
AirShield begins at the device level IoT hardware running C/C++ firmware captures continuous sensor readings including PM2.5 particulate levels, pathogen detection, and disinfection cycle status. Data transmits in real time over AWS IoT Core via bidirectional MQTT, with offline buffering active on the companion app side to handle any periods of restricted network access common in healthcare environments.
Facility managers and operators access the platform through native iOS or Android companion apps secured with AWS Cognito and Microsoft MFA. The live dashboard surfaces air quality readings, device status, and threshold breach alerts via push notification presented in clear, non-technical language designed for maintenance staff rather than engineers. Alerts trigger automatically when sensor readings cross configured thresholds, enabling rapid response before air quality issues escalate.
On the data side, telemetry flows into DynamoDB with versioned schemas that accommodate new sensor types as hardware evolves. The AI and ML layer runs continuously in the background, analysing device performance trends to detect early degradation signals and adapting purification cycles based on detected air quality patterns reducing downtime before it starts.
Multi-tenant facility management keeps each deployment fully isolated at the AWS infrastructure layer. Hospitals, clinics, assisted living facilities, schools, and commercial spaces each operate within their own scoped environment, with role-based access separating Facility Administrators, Operations Staff, and Read-Only Compliance Viewers. Compliance reports covering air quality readings, disinfection cycle history, zero-emission status, and full audit trail are exportable on demand for regulatory submissions and accreditation audits.
Firmware updates roll out via a staged OTA mechanism designed to protect live purification cycles, with rollback capability ensuring healthcare environment deployments are never disrupted by an update sequence.
From embedded firmware through to cloud infrastructure and companion apps CodesClue delivers end-to-end. Let's talk about your product.