IoT & Smart Systems Solutions

Transform your physical operations with enterprise IoT solutions. We design and deploy comprehensive connected systems that bridge the physical and digital worlds, turning sensor data into actionable insights that drive efficiency, reduce downtime, and enhance safety.

Enterprise IoT That Connects Your Physical World

The Internet of Things is transforming how enterprises monitor, control, and optimize their physical operations. From manufacturing plants with thousands of sensors to construction sites tracking equipment in real-time, IoT technology enables unprecedented visibility and control. At Dalto Software, we design and deploy comprehensive IoT solutions that bridge the physical and digital worlds, turning sensor data into actionable insights that drive operational efficiency, reduce downtime, and enhance safety.

Our IoT expertise spans the entire technology stack—from edge devices and communication protocols to cloud platforms and analytics dashboards. We work with industrial-grade sensors, programmable logic controllers (PLCs), and edge computing infrastructure to ensure your connected systems operate reliably in demanding environments. Whether you're implementing predictive maintenance in a factory, tracking assets across a supply chain, or monitoring environmental conditions on construction sites, we architect solutions that scale from pilot projects to enterprise-wide deployments with thousands of connected devices.

Beyond simply connecting devices, we focus on extracting meaningful value from IoT data. Our solutions incorporate machine learning models for anomaly detection, time-series databases optimized for sensor data, and intuitive dashboards that put critical information in the hands of operators and decision-makers. We handle the complexities of device management, security, connectivity protocols, and data pipelines so you can focus on leveraging IoT insights to transform your operations.

IoT & Smart Systems Capabilities

Comprehensive IoT solutions from sensor to cloud for industrial enterprises

Sensor Integration & Connectivity

Connect diverse sensors, PLCs, and industrial equipment using MQTT, OPC UA, Modbus, and other protocols. We handle complex integration scenarios including legacy equipment retrofitting and multi-protocol environments.

Real-Time Monitoring

Build dashboards and monitoring systems that provide instant visibility into equipment status, environmental conditions, and operational metrics. Real-time alerting ensures rapid response to critical events.

Edge Computing

Deploy edge processing capabilities that analyze data locally, reducing latency, bandwidth costs, and cloud dependencies. Edge AI enables intelligent decisions at the source without round-trip delays.

Device Management

Manage device lifecycles including provisioning, configuration, firmware updates, and decommissioning. Centralized management platforms support thousands of devices across distributed locations.

Time-Series Data Management

Store and query massive volumes of time-stamped sensor data efficiently using specialized time-series databases. Handle high-frequency data ingestion while maintaining fast query performance.

Intelligent Alerting

Implement sophisticated alerting systems that use thresholds, anomaly detection, and predictive models to notify operators of issues before they become critical. Reduce alert fatigue with smart filtering.

Asset Tracking & Geolocation

Track equipment, vehicles, and materials across facilities and job sites using GPS, RFID, and Bluetooth technologies. Real-time location data improves utilization and prevents loss.

Predictive Analytics

Apply machine learning to IoT data streams to predict equipment failures, optimize maintenance schedules, and identify operational inefficiencies. Turn reactive maintenance into proactive strategy.

Industry Applications

Our IoT solutions are deployed across diverse industrial sectors, each with unique connectivity challenges and monitoring requirements.

Manufacturing

  • IIoT production monitoring connecting PLCs and sensors to track real-time production metrics and equipment performance
  • Predictive maintenance systems analyzing vibration, temperature, and other sensor data to predict failures before they occur
  • Quality control automation using vision systems and sensors to detect defects and maintain consistent product quality
  • Energy consumption tracking monitoring power usage across equipment to identify optimization opportunities
  • Digital twin implementation creating virtual replicas of production lines for simulation and optimization

Construction & Infrastructure

  • Equipment tracking systems using GPS and telematics to monitor location, usage, and maintenance needs
  • Environmental monitoring tracking temperature, humidity, dust, and noise levels for safety and compliance
  • Worker safety systems using wearables and sensors to detect falls, monitor vitals, and ensure PPE compliance
  • Structural health monitoring deploying sensors to track building movement, stress, and environmental impact
  • Site security integration connecting cameras, access control, and sensors for comprehensive site protection

Logistics & Distribution

  • Fleet management systems tracking vehicle location, driver behavior, fuel efficiency, and maintenance needs
  • Cold chain monitoring ensuring temperature and humidity compliance for perishable goods throughout transport
  • Warehouse automation using RFID and sensors to track inventory movement and optimize picking routes
  • Container tracking monitoring location and condition of shipping containers across global supply chains
  • Last-mile delivery optimization using real-time data to optimize routes and delivery schedules

Technologies & Platforms

We work with industry-leading IoT technologies and platforms, selecting the right tools for your specific requirements to ensure reliable, scalable, and secure connected systems.

IoT Protocols

MQTT OPC UA Modbus CoAP LoRaWAN Zigbee BLE HTTP/HTTPS

Edge Computing

Docker Containers K3s Kubernetes Azure IoT Edge AWS Greengrass Node-RED Apache NiFi

Time-Series Databases

InfluxDB TimescaleDB Azure Time Series Insights Amazon Timestream Prometheus Grafana

IoT Platforms

AWS IoT Core Azure IoT Hub Google Cloud IoT ThingWorx Particle ThingsBoard

Hardware & Sensors

Raspberry Pi Arduino ESP32 Industrial PLCs RFID Systems GPS Trackers

Our IoT Implementation Process

We follow a proven methodology that ensures your IoT deployments deliver operational value while maintaining reliability and security.

1

Discovery & Assessment

We start by understanding your operational environment, existing equipment, connectivity constraints, and business objectives. We conduct site surveys to evaluate network infrastructure, identify integration points with legacy systems, and assess environmental factors.

2

Architecture & Pilot Design

Based on discovery findings, we design an IoT architecture that addresses your specific requirements. We select appropriate sensors, communication protocols, edge devices, and cloud platforms, then scope a pilot deployment to validate the approach.

3

Pilot Deployment

We deploy a pilot system on a limited scale—typically 10-50 devices covering a single production line or facility zone. This allows us to validate connectivity, test data pipelines, refine analytics models, and demonstrate ROI before full-scale rollout.

4

Full-Scale Implementation

After pilot validation, we execute phased rollout across your operations. We handle device provisioning, network configuration, edge software deployment, and cloud platform setup, establishing monitoring dashboards and alerting rules tailored to your KPIs.

5

Integration & Training

We integrate IoT data with your existing systems—ERP, CMMS, BI tools, and operational databases. We train your teams on dashboard usage, alert interpretation, and system maintenance while documenting all configurations and procedures.

6

Support & Optimization

Post-deployment, we provide ongoing monitoring, device management, and system optimization. We handle firmware updates, add new device types as needed, and continuously refine analytics models and alert thresholds based on operational learnings.

Why Choose Dalto Software for IoT & Smart Systems

End-to-End IoT Expertise

We handle the complete IoT stack from sensor integration through cloud analytics. Our engineers have deep experience with industrial protocols, edge computing, time-series databases, and IoT platforms. We understand the unique challenges of IoT deployments including connectivity constraints, data volume management, and device lifecycle management.

Industrial-Grade Solutions

Our IoT systems are designed for harsh industrial environments with reliability, security, and scalability as core requirements. We work with industrial-grade hardware, implement redundancy at every layer, and ensure systems can handle millions of data points per day. Our solutions meet the demanding requirements of 24/7 operations.

Proven ROI Focus

Every IoT project starts with clear business objectives and measurable KPIs. We focus on solutions that deliver tangible value through reduced downtime, improved efficiency, and operational insights. Our pilot-based approach ensures ROI is validated before full-scale deployment, minimizing risk and maximizing business impact.

Security-First Architecture

We build security into every layer of IoT architecture—from secure boot and encrypted storage at the device level to certificate-based authentication and network segmentation. Our solutions follow NIST cybersecurity frameworks and include comprehensive monitoring for anomaly detection.

Long-Term Partnership

IoT deployments require ongoing optimization and evolution. We provide comprehensive support including device management, firmware updates, analytics refinement, and system expansion. As your operations grow and technology evolves, we ensure your IoT infrastructure continues delivering value through continuous improvement.

Frequently Asked Questions

How do you ensure IoT systems remain secure against cyber threats?
Security is built into every layer of our IoT architecture. At the device level, we implement secure boot, encrypted storage, and certificate-based authentication. Communication channels use TLS/SSL encryption and we support VPN tunnels for additional protection. We segment IoT networks from corporate networks using firewalls and VLANs. On the platform side, we implement role-based access control, audit logging, and anomaly detection. We design systems following NIST cybersecurity frameworks and conduct regular security assessments.
What's the typical scale and cost of an IoT deployment?
IoT deployments vary widely based on scope and complexity. A pilot project might involve 10-50 devices and cost $50,000-$150,000, while enterprise deployments can scale to thousands of devices. Costs include hardware (sensors, gateways, edge devices), connectivity (cellular, Wi-Fi, LoRaWAN), cloud platform fees, and implementation services. We recommend starting with a focused pilot to validate ROI before scaling. Most clients see positive ROI within 6-12 months through operational efficiencies.
Can IoT systems work with our existing equipment and software?
Yes. We specialize in integrating IoT solutions with existing infrastructure. For legacy equipment, we use protocol converters and edge gateways to extract data from PLCs, SCADA systems, and industrial controllers. On the software side, we integrate with ERPs, MES systems, CMMS platforms, and BI tools through APIs and data pipelines. Our solutions are designed to augment, not replace, your existing operational technology investments.
How do you handle connectivity in areas with limited network coverage?
We design solutions for challenging connectivity environments. Options include LoRaWAN for long-range, low-power communication; mesh networks for device-to-device connectivity; edge computing to process data locally and batch-upload when connected; cellular with signal boosters; and satellite connectivity for remote locations. We often implement hybrid approaches with edge processing handling real-time needs while periodically syncing to the cloud.
What happens if internet connectivity is lost?
Our IoT systems are designed for resilience. Edge computing capabilities allow local data processing and storage during connectivity outages. Critical alerts can be delivered via local networks or SMS. When connectivity is restored, buffered data automatically syncs to the cloud. The system continues monitoring and can trigger local actions based on predefined rules, ensuring operations aren't disrupted by network issues.
How quickly can we see results from IoT implementation?
Initial insights are often available within weeks of deployment. A pilot project typically takes 2-3 months from planning to initial results. During this time, you'll see real-time data from connected assets, identify optimization opportunities, and validate ROI assumptions. Full-scale deployments may take 6-12 months but are done in phases, with each phase delivering incremental value. Most clients report measurable operational improvements within the first quarter after deployment.
Do you provide ongoing support and maintenance?
Yes, we offer comprehensive managed services for IoT deployments. This includes 24/7 system monitoring, device health checks, firmware updates, security patches, and performance optimization. We handle adding new devices, modifying alert rules, and refining analytics models as your needs evolve. Our support plans range from basic monitoring to full managed services where we handle all aspects of your IoT infrastructure operations.

Ready to Connect Your Operations?

Let's discuss how IoT and smart systems can transform your business operations. Whether you're looking to monitor equipment, track assets, or optimize processes, our team can help you navigate the journey from pilot to production-scale IoT deployment.