DPL builds end-to-end IoT development services and predictive maintenance solutions that connect your physical assets to real-time monitoring infrastructure - catching equipment problems before they become costly breakdowns. Whether you manage a residential portfolio, a manufacturing floor, or a logistics network, our IoT for predictive maintenance platform gives your team the visibility and lead time to act before operations are impacted.
Equipment failures don't happen without warning. Motors run hot for weeks before they seize. Sensors drift off calibration months before triggering a shutdown. By the time traditional maintenance catches these problems, the disruption has already hit operations. Predictive maintenance solutions change this equation. By combining IoT sensors, cloud infrastructure, and machine learning, DPL's AI-enhanced IoT platform gives operations teams a continuous feed of equipment health data, and the analytics to act before failures occur
Reduced downtime
Extended machine life
Reduced maintenance cost
Production efficiency
Our deployment methodology is structured to deliver measurable outcomes at every phase — from initial asset assessment through continuous model optimization.
We map your critical assets and identify failure modes based on downtime cost impact. The highest-risk, highest-consequence equipment comes first.
Sensors and firmware are deployed on target equipment. Every device authenticates via X.509 certificates over TLS 1.3 — secured from the first connection.
Real-time data flows to AWS IoT Core, stored in DynamoDB with ElastiCache for low-latency access at any scale. Every data point is captured and timestamped.
ML models process incoming sensor streams and compare against equipment-specific baselines. Anomalies trigger graded alerts based on severity and urgency.
Automated notifications reach maintenance teams before failures occur. Work orders are created automatically in your CMMS — no manual triage required.
Alert resolution data feeds back into the models. Prediction accuracy improves continuously as the system learns from your equipment's specific behavior patterns.
DPL built and operates the entire IoT platform powering iApartments. AWS IoT Core manages device state via shadow technology, enabling real-time synchronization without maintaining persistent connections. Fleet indexing allows bulk operations across the device estate. CloudWatch and AWS X-Ray provide end-to-end system observability. Remote equipment monitoring lets property managers detect HVAC irregularities, water leaks, and lock malfunctions the moment they occur, without physical inspection of individual units. Alerts trigger maintenance dispatches automatically, eliminating the lag between problem detection and resolution.
Connected devices managed
From 30,000+ apartments
Manhours saved annually
Operating cost per device
apartments targeted by 2027
as iApts core tech partner
DPL built and operates the entire IoT platform powering iApartments. AWS IoT Core manages device state via shadow technology, enabling real-time synchronization without maintaining persistent connections. Fleet indexing allows bulk operations across the device estate. CloudWatch and AWS X-Ray provide end-to-end system observability. Remote equipment monitoring lets property managers detect HVAC irregularities, water leaks, and lock malfunctions the moment they occur, without physical inspection of individual units. Alerts trigger maintenance dispatches automatically, eliminating the lag between problem detection and resolution.
Connected devices managed
From 30,000+ apartments
Manhours saved annually
Operating cost per device
apartments targeted by 2027
as iApts core tech partner
Smart Workforce Tracking is the right indoor location tracking system for any organization deploying field workers inside large, multi-site, or complex indoor environments:
Monitor HVAC systems, plumbing, leak sensors, and smart locks across residential portfolios at scale
Regular maintenance is vital for businesses and schools. It ensures smooth operations and enhances efficiency, preventing unexpected issues.
Proactive maintenance for commercial buildings, campuses, and service organizations
Vehicle fleet monitoring and warehouse equipment maintenance to prevent costly downtime
Infrastructure monitoring for critical public assets, border operations, and transportation terminals
Guest experience protection through proactive HVAC, elevator, and amenity monitoring
We've built and operated IoT platforms managing 200,000+ devices in production. This isn't experimental — it's a track record.
From embedded firmware to cloud infrastructure to analytics dashboards, DPL builds the complete stack. No gaps between vendor responsibilities. No integration headaches.
ISO 27001 and 27701 certified. Every device authenticates with X.509 certificates. Every data stream encrypted with TLS 1.3. Our security-first approach isn't a feature — it's the foundation.
Our AI engineering team layers advanced ML models on top of IoT data for anomaly detection, failure forecasting, and root cause analysis — capabilities most IoT vendors don't offer
Start with a proof of concept on your highest-risk asset. Prove ROI before scaling. Our phased methodology ensures you see value from the first deployment.
Predictive maintenance solutions use real-time data from IoT sensors to continuously monitor equipment health and predict failures before they occur. Unlike reactive maintenance, which fixes what breaks or preventive maintenance, which replaces parts on a fixed schedule, predictive maintenance acts on actual equipment condition, reducing unnecessary work and preventing unplanned downtime.
IoT for predictive maintenance works by embedding sensors into physical equipment to capture real-time signals: temperature, vibration, current draw, pressure. These data streams flow to cloud analytics platforms where ML models detect patterns that precede failures. When readings deviate from healthy baselines, graded alerts notify maintenance teams with enough lead time to act.
Predictive maintenance in manufacturing, real estate, logistics, facility management, and government infrastructure delivers the highest ROI, wherever unplanned downtime causes significant operational or financial impact. The iApartments case demonstrates that proptech is another high-value vertical, with 552,000 manhours saved annually across a connected apartment portfolio.
Remote equipment monitoring encompasses real-time sensor data collection, cloud-hosted dashboards displaying asset health across your entire fleet, anomaly detection alerts, and automated work order triggers. DPL’s monitoring platforms are built on AWS IoT Core with device shadow technology, meaning equipment state is always current, even when devices are temporarily offline.
Yes. DPL builds alert routing and work order triggers that connect with most major CMMS platforms. If you have an existing maintenance workflow, we connect our monitoring layer to it — no need to replace your systems.
A proof of concept targeting 2–5 critical assets can be live in 6–8 weeks. Full-scale deployment timelines depend on fleet size and site infrastructure, but our phased approach ensures your team sees measurable value early.
According to McKinseys analysis of predictive maintenance, organizations can reduce machine downtime by 30–50%, extend machinery life by 20–40%, and cut maintenance costs by 10–25%. In DPL’s predictive maintenance deployments, clients have achieved sub-$1/device monthly operating costs and eliminated hundreds of thousands of manhours of reactive maintenance annually.
DPL's proof of concept for National Janitorial Solutions validated that Wi-Fi-based indoor positioning works in real-world facility management environments - accurate, practical, and infrastructure-light. If you're managing a distributed indoor workforce and need to move beyond manual check-ins and GPS dead zones, this is the conversation to have now.
Talk to DPL's IoT team. We'll walk you through the system, assess your Wi-Fi infrastructure, and map out exactly what a deployment looks like for your specific environment — before you commit to anything.
