endorsedCompleted

IoT Platform, Mobile App, and ML for AIRBOX

Services Covered:

Mobile Application Development • Cloud Consulting and Services • AI and Machine Learning • IoT Development

Industry

Engineering & Manufacturing

Duration

6 months

Budget

10K - 49K

Start Date

1 November 2024

Team Size

6-10 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

78/100

Good

Project Capability Score (PCS) estimates how capable Flyte Solutions Ltd. is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

AIRBOX

Charlotte, United States of America

Project Summary

Flyte Solutions built a smart backend platform, client-facing portal, and mobile app for AirBox that integrated IoT data ingestion, machine learning for predictive filter degradation, and energy optimization tools. The vendor provided cloud infrastructure, DevOps/CI-CD pipelines, and a secure portal that produced IAQ compliance reports aligned with ASHRAE IAQP. The solution streamlined onboarding, enabled real-time diagnostics, and helped the client expand from a hardware-only business into a tech-integrated solutions provider.

Key Challenges

Develop a smart backend platform to manage real-time data from purification units across multiple client locations.
Create a client-facing portal for building managers, engineers, and architects to monitor unit performance, IAQ readings, and system health.
Generate documentation and IAQ compliance reports aligned with ASHRAE IAQP.
Enable predictive maintenance capabilities to detect filter degradation and system faults proactively.

Project Deliverables

IoT integration middleware to ingest and process real-time air quality data from AirBox units.
Machine learning predictive models to flag filter degradation, airflow anomalies, and system faults.
A secure customer dashboard/portal for monitoring devices, IAQ compliance reports, and maintenance alerts.
Mobile app (iOS/Android) for field technicians and building managers with QR-based unit scans.
An energy optimization interface to analyze HVAC usage and suggest adjustments to meet ASHRAE standards.
DevOps support, cloud infrastructure management, and CI/CD pipelines.

Project Solution

Flyte assigned a multidisciplinary team to build IoT integration middleware to ingest PM2.5, VOCs, and CO₂ data from AirBox units, developed machine learning algorithms to predict filter degradation and detect anomalies, and implemented a secure customer dashboard and mobile app (iOS/Android) for monitoring and field operations. They also delivered an energy optimization interface, DevOps support, cloud infrastructure management, and CI/CD pipelines, all within a HIPAA-aware, security-sensitive framework and with IAQ reporting aligned to ASHRAE IAQP.

Project Outcome

Client onboarding became significantly smoother with real-time data streaming into a single portal.
Predictive filter alerts prevented at least one costly IAQ compliance issue by flagging performance dips weeks before an audit.
Energy optimization module enabled a facility to justify HVAC downsizing during renovation.
The company evolved from a hardware-only brand to a tech-integrated solution provider, opening new revenue and service opportunities.

Platforms

Mobile
Web
Cloud

Tech Stack

Android
iOS

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Flyte Solutions Ltd. helped the client streamline their onboarding process and evolve into a tech-integrated solution provider. The team delivered the project on time and handled the client's evolving requirements. Their deep technical skills and adaptability impressed the client.”
Michail Moore
VP Marketing
Date: 06/26/2025