About Us

NodeHarbor uses AI to turn raw industrial data into actionable insights. We help small and mid-sized manufacturers modernize by integrating directly with existing PLCs and sensors. Our edge-powered analytics, real-time alerts, and approachable, offline-ready dashboards are purpose-built for harsh environments—without the complexity or cost of traditional integration firms.

Our Approach

We partner with manufacturers, energy companies and government contractors to bridge the gap between cloud platforms and rugged field operations. Each engagement follows:

1

Discovery & Data Access

Assess your equipment, PLCs, and network to identify accessible data and integration points.

2

Edge Pipeline Design

Design lightweight, local-first pipelines for real-time data processing, alerts, and resilience.

3

Deploy & Insight Delivery

Install, test, and tune dashboards and alerting so your team sees the metrics that matter.

Practical Use Cases

Most In-Demand Services of IoT Consultants

Edge Data Integration

Bridge the gap between sensors, PLCs, and modern platforms with resilient edge pipelines.

We build lightweight, local-first systems that tap into your existing equipment and convert machine data into clean, structured streams — ready for dashboards, alerts, or remote monitoring.

Offline & Remote Analytics

Gain real-time visibility in environments where cloud connectivity isn’t guaranteed.

From air-gapped defense sites to rural facilities, we deploy field-tough analytics solutions that operate offline — collecting, processing, and displaying critical insights on-site.

IoT Readiness & Roadmapping

Plan and prioritize sensor and data system upgrades across your operation.

We assess your current systems and design a step-by-step integration plan, ensuring that each investment in IoT — from the first sensor to full-site visibility — delivers measurable ROI.

Machine Data Audit

Discover what your equipment is already telling you — and how to act on it.

We inventory your existing PLCs, sensors, and control systems to uncover what data is accessible, what matters, and how to extract value through thresholding, logging, and alerting.

Firmware to Dashboard

From embedded code to real-time UI — we build the full data path.

We write modular firmware for rugged microcontrollers, structure edge processing logic, and design dashboards that display your most critical operational metrics in real time.

Predictive Monitoring

Catch problems before they cause downtime with trend-based alerts.

We implement threshold logic, rolling averages, and lightweight anomaly detection at the edge — giving your team a heads-up when vibration, temperature, or pressure starts drifting out of bounds.

NodeHarbor Things

Free IoT Industry Insights for Business Owners

Discover practical strategies, case studies, and technical insights that help small and medium-sized businesses leverage IoT for real ROI.

Explore Things

How We Can Help You

Reduce costs

Automate routine data collection and eliminate manual checks

Minimize manual intervention

Deploy self-healing, modular systems that require fewer field visits

Improve operational insights

Access custom dashboards and AI-driven analytics that turn raw sensor data into clear action items

Boost uptime

Catch equipment issues early with edge-based anomaly detection and predictive alerts

Ensure compliance

Implement secure, auditable data logging and one-touch export workflows

Scale easily

Utilize off-the-shelf components and plug-and-play modules without lengthy redesigns

Technologies We Leverage

Bluetooth Low Energy

connectivity

Energy-efficient wireless communication for IoT devices with limited power resources.

MQTT

connectivity

Lightweight messaging protocol designed for constrained devices and low-bandwidth networks.

AWS IoT Core

cloud

Managed cloud service that enables connected devices to interact with cloud applications.

Azure IoT Hub

cloud

Managed service for bi-directional communication between IoT applications and devices.

Secure Boot

security

Hardware-based security feature that ensures devices boot using only trusted software.

Docker

development

Containerization platform for consistent deployment across environments.

Time Series DB

analytics

Specialized databases optimized for handling time-stamped data from IoT sensors.

UI/UX Design

development

Creating intuitive interfaces for both web dashboards and on-device displays.

Edge Computing

development

Processing data near the source to reduce latency and bandwidth usage.

End-to-End Encryption

security

Securing data from device to cloud with robust encryption protocols.

Rust & C/C++

development

Low-level programming for resource-constrained devices with strong safety guarantees.

5G & NB-IoT

connectivity

Next-generation cellular connectivity options for IoT devices requiring wide-area coverage.

Real Results: Machine Monitoring

How we helped a precision parts manufacturer reduce downtime by 37% without replacing equipment

The Challenge

Unexpected Downtime

CNC machines were failing with no warning, causing production delays and rushed maintenance.

Condition Visibility

No way to see real-time machine health or trends to predict potential failures.

Legacy Equipment

Mix of Siemens and Allen-Bradley PLCs with no budget for replacing functional machines.

Our Approach:

Non-invasive monitoring system that connected to existing PLCs to extract sensor data without modifying control logic. Data processed on-site with alerts and insights delivered to both shop floor displays and management dashboards.

The Results

37%
Reduction in unplanned downtime
22%
Decrease in maintenance costs
45min
Average early warning before failure
4.2mo
ROI achieved

Early vibration pattern detection identified bearing wear before catastrophic failure

Temperature trend analysis allowed for scheduled maintenance during planned downtime

Cycle time optimization identified 12% potential throughput increase

Implementation Timeline

Initial Assessment

Week 1

Site survey, identified equipment types, PLC protocols, and network architecture.

Connectivity & Edge

Week 2-3

Installed edge devices with secure connections to PLCs. Set up local network for data processing.

Data Processing

Week 3-4

Configured data pipeline for all metrics. Implemented anomaly detection algorithms.

Dashboard & Alerts

Week 4-5

Deployed dashboards and set up escalating alerts for different conditions.

Monitoring & Optimization

Ongoing

Continuous refinement based on real-world events. Monthly system review.

Ready to Talk?

Schedule Free 15-Minute Field Readiness Consult. Get a no-obligation review of your site's connectivity, power and security posture—and see how quickly we can get you up and running, or, send us a message below.

Let's Build Something Together

If you're ready to bring your device from bench-top to field—or you need a hardened infrastructure for the ones already out there—let's talk.

Email

hello@nodeharbor.io

Location

Chicago, IL