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Connected Devices & IoT Solutions
From connected devices to AI-ready operations
Connect machines, products, infrastructure, vehicles, and operational systems to the intelligence layer your business needs next — production-ready IoT, edge, cloud, and AI architecture, engineered around the plant you already run.
Talk to an IoT & Industrial AI Expert
Connecting a device is only the first layer
Industrial environments generate signals across PLCs, SCADA, MES, historians, ERP platforms, sensors, machines, quality systems, engineering repositories, cameras, and connected products. SEIDOR builds the architecture that makes that information accessible, contextualized, governed, and usable — without destabilizing production.
Device → Edge → Operational Systems → Data → AI → Action
Build the architecture industrial AI requires
AI pilots prove a model can work. Production AI has to work across plants, machines, legacy systems, OT networks, security policies, and operational teams — so SEIDOR structures every engagement across six interconnected layers, from source to action.
Machines, PLCs, sensors, SCADA, MES, historians, ERP, quality systems, engineering documentation, cameras, and connected products.
Industrial protocols, gateways, APIs, event streams, IoT platforms, integration services, and secure data pipelines.
Asset models, process relationships, metadata, semantic layers, digital twins, and operational knowledge.
Identity, permissions, cybersecurity, data ownership, AI controls, observability, and policies.
Machine learning, computer vision, predictive analytics, generative AI, RAG, copilots, and AI agents.
Dashboards, alerts, recommendations, operator workflows, APIs, automated processes, and controlled machine actions.
This modular architecture lets existing ERP, MES, SCADA, historian, machine-control, and engineering systems remain authoritative while making their information usable by new applications and AI — from zero to AI, without replatforming.
Connected intelligence, by environment
Seven industrial and infrastructure environments, one architectural approach — designed around the systems already running your operation.
Connect the factory. Contextualize the data. Operationalize AI.
SEIDOR connects PLC, SCADA, OPC, MES, historian, ERP, SQL, sensor, machine, edge, and cloud environments so manufacturers can use operational information across OT and IT without disrupting production systems —across brownfield and greenfield facilities alike.
Fewer unexpected failures and higher asset availability by combining sensor data, operating conditions, and maintenance history.
A consistent view of machines, lines, and bottlenecks for faster decisions across operations.
Reduced scrap and faster root-cause analysis by correlating process, inspection, and quality data.
Clearer improvement priorities from a usable model of availability, performance, and quality.
Richer monitoring, simulation, and diagnostics from contextual representations of assets and processes.
Plant-level use cases reused across additional facilities and equipment families.
Operational intelligence where precision drives economics
Small changes in process conditions, equipment behavior, or calibration can shift yield and economics. SEIDOR connects manufacturing equipment, metrology, inspection, test, quality, and enterprise systems so that data becomes usable for analytics, diagnostics, and AI.
Machine, process, test, metrology, quality, and enterprise data connected without another isolated silo.
Unusual equipment or process behavior surfaced earlier, with full operational context.
Historical and real-time signals combined to support condition-based maintenance.
Contextualized pipelines that accelerate root-cause investigation of variation.
Technical documentation and operational history made accessible through secure retrieval architectures.
New analytics, copilots, or agents introduced without locking into a single platform.
Put intelligence where the operational decision happens
Latency, bandwidth, resilience, privacy, cost, and production continuity all determine where data should be processed. SEIDOR designs edge-to-cloud architectures across device, gateway, industrial edge, plant infrastructure, private cloud, and public cloud — deciding which workload belongs where.
Machine-level analytics and computer vision inference processed close to the equipment.
Local data filtering and processing that continue through connectivity loss.
High-frequency signal processing kept local when centralizing every signal is inefficient.
Edge-run models with cloud synchronization for the broader environment.
Connect operational reality with enterprise intelligence
A predictive maintenance model may need machine telemetry plus maintenance records plus asset history. A production optimization app may need MES, ERP, machine state, and quality data. SEIDOR builds the controlled integration layer between OT and IT that makes this possible.
APIs, event-driven architectures, and data platforms connecting OT and IT environments.
Access controls and AI governance applied across hybrid infrastructure.
The right information, in the right context, available to the right system or user — under the right controls.
Turn physical products into digital service platforms
SEIDOR engineers the technologies required to connect products securely throughout their lifecycle — sensor and actuator integration, embedded software, device onboarding, secure communication, remote monitoring and control, OTA capabilities, telemetry, and usage analytics.
Device management and remote control extending the product past the point of sale.
Usage analytics and digital services that create new customer experiences and business models.
Greater manufacturer visibility into how products actually perform in the field.
Open, scalable IoT for complex urban environments
Smart cities need infrastructure that integrates devices, vendors, agencies, and historical systems without permanent dependence on a single provider. SEIDOR has extensive experience building open IoT architectures for urban environments, including Sentilo, the open-source platform originally created for Barcelona.
Independent device and application management sharing common infrastructure.
Interoperability and reduced vendor dependence built into the platform design.
Mobility, energy, traffic, and environmental data made usable across public services.
Connect vehicles, infrastructure, operations, and experience
SEIDOR engineers connected mobility environments across automotive, public transportation, logistics, airports, ports, and infrastructure — connected vehicle platforms, fleet monitoring, predictive maintenance, V2X integration, and passenger and operator applications.
Vehicle telemetry and predictive maintenance across fleets and infrastructure.
Passenger and operator applications built on real-time operational data.
Edge computing and API ecosystems supporting connected operations at scale.
Accelerate delivery without creating unnecessary dependency
Custom engineering combined with reusable frameworks developed through real IoT and AI implementations — so teams move faster while keeping the flexibility to select architecture, platforms, and infrastructure per environment.
IoT BricksTM
A configurable IoT framework
Accelerates capabilities across device connectivity, communications, cloud services, analytics, monitoring, and governance.
- Connected equipment
- Remote monitoring
- Device management
- OEE
- Servitization
DelfosTM
Secure enterprise AI agent architecture
SEIDOR's work in secure enterprise knowledge and AI agents, particularly where organizations need controlled access to proprietary operational or engineering information.
- Engineering assistants
- Maintenance copilots
- Controlled RAG
- On-prem / private AI
Connected Devices & IoT client stories
Proven deployments, not pilots. 30+ enterprise IoT ecosystems in production, spanning connected equipment, smart infrastructure, mobility, and device platforms.
The FUSE IoT cloud platform, built for a global veterinary diagnostics company, connects diagnostic equipment across thousands of clinics.
Business value: Remote equipment management, preventive maintenance, real-time data access.
8,000+ clinics on one unified IoT platform
A connected-device environment designed to securely ingest device data while enabling remote equipment management for an industrial access & automation solutions manufacturer.
Business value: Secure connectivity, remote management, scalable data ingestion, connected-product services.
Secure Remote Connectivity for Industrial Equipment
Digitization and connectivity for a global commercial equipment manufacturer and industrial laundry equipment through the Connected initiative.
Business value: Connected equipment, remote visibility, scalable IoT services, foundation for servitization.
Connected IoT Platform for Professional Equipment
Redesigned emergency beacons with connectivity, geolocation, and embedded communications for Spain’s General Traffic Directorate (DGT) platform.
Business value: Persistent connectivity, geolocation, digital services, lifecycle intelligence.
Transforming Road Safety Equipment Into an Intelligent Connected Device
IoT data architecture and roadmap for passenger boarding equipment used in airports and seaports by an aviation ground operations provider.
Business value: Lower service costs, proactive maintenance, new digital-service opportunities.
IoT data analytics for passenger boarding bridges (PBBs)
Sentilo, the open-source sensor and actuator platform originally developed for Barcelona.
Business value: Interoperability, shared infrastructure, data ownership, reduced vendor dependence.
Open IoT infrastructure at city scale
Technology platform supporting Barcelona's Low Emission Zone, integrating vehicle, mobility, and environmental data.
Business value: Integrated mobility intelligence, scalable data processing, improved urban management. Client Case
IoT and cloud infrastructure for urban mobility
Why SEIDOR
Built for the plant you already run. Built for the immediate operational challenge — and the intelligence you'll need next.
End-to-end ownership
We work across device, connectivity, edge, cloud, data, AI, software, and experience — one engineering organization that understands how decisions at every layer affect the complete system.
Built for brownfield reality
We design around existing operational environments. PLCs, SCADA, MES, historians, ERP systems, and machinery can remain authoritative while new intelligence layers are introduced progressively.
AI-ready by architecture
We focus on the connectivity, context, governance, and operational controls required to move AI beyond the pilot stage.
Vendor-agnostic and modular
Architectures are designed so infrastructure, platforms, cloud providers, and models can evolve without forcing wholesale redesign.
Engineering + AI + human-centered design
SEIDOR combines engineering, AI, software, and UX expertise around the operators, engineers, technicians, and decision-makers who rely on the system.
Proven production experience
30+ enterprise IoT ecosystems in production across connected equipment, industrial systems, smart infrastructure, mobility, and device platforms.
Talk to SEIDOR
Tell us what's running today: we'll show you where the connectivity, context, and governance layers fit around it.
Talk to Our Experts Assess your Architecture for AI
FAQs about connected devices & IoT solutions
What are connected devices and how do they create business value?
Connected devices are networked physical assets (such as sensors, machines, or vehicles) that collect and exchange data in real time. When combined with IoT platforms and AI analytics, they generate insights that improve efficiency, predict maintenance needs, and enable faster decision-making. By turning operational data into actionable intelligence, connected devices help enterprises reduce costs, increase uptime, and unlock new service and revenue opportunities.
How can AI enhance connected devices in manufacturing environments?
AI transforms connected devices from reactive monitors into intelligent systems. In manufacturing, AI models analyze sensor data to predict failures, optimize production flow, and automate quality control. Integrating AI within Industrial IoT (IIoT) platforms enables real-time decision support, reducing downtime and improving throughput. This fusion of AI and connected devices powers smarter factories that continuously learn and adapt for higher performance and profitability.
What makes SEIDOR Opentrends a trusted partner for connected devices and IoT projects?
SEIDOR Opentrends brings over a decade of enterprise-scale IoT experience, with 30+ ecosystems in production and its proprietary Thingtia platform powering thousands of connected sensors globally. The company’s transdisciplinary teams unite engineering, design, and AI consulting to deliver secure, human-centered, and cloud-agnostic solutions. This proven track record, combined with agile delivery and deep UX expertise, positions SEIDOR Opentrends as a reliable partner for complex connected device and AI transformation initiatives.
What industries benefit most from connected devices and IoT solutions?
Connected devices deliver measurable impact across multiple sectors. Manufacturers leverage Industrial IoT for predictive maintenance and process optimization. Semiconductor firms use AI-enabled platforms for precision testing and yield improvement. Cities deploy open IoT frameworks like Sentilo for mobility and sustainability insights, while transportation networks rely on edge computing for safety and efficiency. Any organization seeking real-time visibility, automation, and data-driven growth can benefit from connected device solutions.