Edge Technologies & Internet of Things (IoT)
We design and implement resilient edge computing and IoT systems that enable real-time, low-latency data processing, secure device management, and seamless cloud integration.
In an era where 80% of IoT projects stall before deployment due to technical and operational hurdles, our edge computing and IoT expertise delivers resilient, real-time solutions, bridging the gap between innovation and implementation. With the edge computing market projected to reach $111.3 billion by 2028, now is the time to future-proof your infrastructure.
At Enliven Systems, we specialize in designing and implementing resilient edge computing and IoT architectures that bring intelligence closer to where it’s needed, enabling real-time insights, operational efficiency, and business agility.
Edge architectures process 90% of industrial data locally, slashing cloud dependency and reducing latency to <10ms for critical applications like robotic assembly lines. Edge computing’s distributed architecture requires robust, low-latency networks, which is a challenge in remote or dynamic environments.
Traditional infrastructure often fails to support the real-time processing needed for autonomous vehicles or innovative grid management applications.
Edge caching & CDNs
5G integration
Offline functionality
Edge environments expand attack surfaces, with each device posing a potential vulnerability. Cyberattacks on IoT devices increased by 300% in 2023, underscoring the need for robust security frameworks. We apply defense-in-depth principles across the whole stack.
Zero-trust architecture
Hardware-based encryption
Over-the-air updates
IoT devices generate 79.4 zettabytes of data annually, overwhelming legacy storage systems. Balancing local processing with cloud integration is key to avoiding bottlenecks. We build edge computing solutions that enable real-time data processing without round-trips to the cloud. From predictive maintenance on industrial machinery to dynamic pricing engines in retail kiosks, our systems make fast, local decisions when latency matters most.
Intelligent data filtering
Hybrid edge-cloud architectures
Automated lifecycle management
Lightweight ML inference at the edge
Proprietary protocols and legacy systems create interoperability nightmares, delaying deployment timelines by 6–12 months. The edge doesn’t replace the cloud; it complements it. We design architectures that allow data, models, and insights to flow fluidly between edge and cloud environments.
Standards-based development
Built with MQTT, CoAP, and OPC UA for cross-platform compatibility.
Protocol benchmarking
Interoperability testing
Continuous standards review
API-first design
Unify devices from AWS IoT, Azure Edge, Google Cloud, and on-prem Kubernetes clusters into a single dashboard.
By embedding these rigorous research protocols into our system integration process, we ensure robust, scalable, and future-ready edge and IoT solutions.
API schema validation
Security audits
Usability studies
Limited device resources and energy constraints hinder growth, particularly in industrial IoT (IIoT) settings.
Maintaining distributed edge nodes in harsh or inaccessible locations drives up operational costs by 35%. IoT success depends on reliable, secure, and scalable device orchestration. We design systems that can manage thousands to millions of connected devices with visibility, control, and confidence.
Our Edge & IoT solutions are adaptable across sectors.
Integrating AI with IoT sensors has transformed maintenance workflows, with 61% of manufacturers prioritizing predictive maintenance to reduce unplanned downtime by 25% and lower costs by 30%.
Edge computing enables the close-to-real-time analysis of customer behavior, allowing retailers to deliver personalized offers within 600 milliseconds of a customer’s entry into the store. Retailers using smart shelves with pressure sensors report a 90% reduction in out-of-stock incidents, resulting in an annual recovery of $4.2 million per 100 stores.
Edge-enabled IoT devices now provide continuous, real-time monitoring of patient vitals, enabling proactive interventions that reduce hospital readmissions by up to 30%. Over 70% of healthcare providers have adopted wearable sensors and edge analytics platforms that process data locally to ensure immediate alerts for critical conditions such as arrhythmias or respiratory distress.
For example, remote cardiac monitoring systems analyze ECG data at the edge, enabling 15-minute faster emergency response times compared to cloud-only solutions.
From prototype to production
Your end-to-end IoT development partner. We support clients through every stage of the solution lifecycle.
Every successful edge computing initiative begins with aligning technological capabilities to concrete business outcomes. During our discovery phase, we conduct 360-degree requirement mapping that balances operational realities with innovation potential. For a recent smart factory project, this process reduced latency-critical decision loops from 850 ms to 68 ms through optimal edge-node placement.
Key focus areas include:
Our edge architects select components based on 23 technical dimensions, including environmental tolerance, power profiles, and update cycles.
Prototyping phases leverage physical and digital twin environments, compressing validation cycles from 6 months to 3 weeks.
Transitioning from PoC to production requires full-stack hardening. Our CI/CD pipelines simultaneously automate testing across 50+ edge configurations, catching 93% of platform-specific bugs pre-deployment.
Post-deployment management combines human expertise with AI-driven insights.
Real-time observability
- Custom Grafana dashboards tracking 150+ KPIs per edge node.
- Anomaly detection models flagging abnormal RAM usage patterns.
- Predictive maintenance alerts for hardware EOL components.
Automated optimization
- Dynamic resource allocation adjusts CPU governors according to the workload.
- A/B testing of ML model versions across device subgroups.
- Security patch orchestration during low-utilization windows.
Why Enliven Systems?
At Enliven, we bring a rare blend of deep technical expertise, cross-industry experience, and forward-looking strategy. We don’t just connect devices, we create intelligent, resilient ecosystems that adapt and evolve.
Distinguished talent pool with deep expertise
Makers of leading, real-time IoT products
Predictable, high-quality delivery
Edge and IoT aren’t just about devices and data. They’re about insight, responsiveness, and resilience. If you’re looking to create a smarter, faster, and more connected business, Enliven Systems is ready to help you design the future.
