Industrial Data Platforms & OT/IT Integration
We design and implement industrial data platforms that unify OT and IT data into governed, production-grade environments ready for analytics and AI. We focus on architecture first, ensuring reliability, security, and compliance without disrupting operational systems.
A pragmatic approach to Industrial Data & AI
We deliver industrial data and AI engineering services grounded in system architecture, not isolated use cases. Our work focuses on building industrial analytics foundations that connect OT and IT data into governed, production-grade environments ready for scale.
Turn industrial data into operational decisions
Reach out when your organization needs a reliable industrial data platform and production-ready AI systems, but existing data and architecture limit scalability or trust.
Where industrial data platforms and AI deliver measurable impact
The value of industrial data platforms and industrial AI systems emerges where data reliability, system integration, and operational constraints intersect.
Operational reliability
- Reduction of unplanned downtime through predictive maintenance and anomaly detection
- Lower maintenance and repair costs through condition-based servicing
- Faster access to consistent operational data across sites
- Elimination of manual data handling and duplicated data entry
Data and architecture foundations
- Unified industrial data platform integrating SCADA, PLC, MES, ERP, and IoT data
- AI-ready data architecture supporting real-time and batch processing
- Governed access, data lineage, and compliance-ready pipelines
- Scalable industrial analytics foundations enabling reuse across locations
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Specialized industrial data and AI capabilities
Our industrial data and AI engineering services focus on building production-grade systems that operate reliably within OT environments. We design systems based on architecture, integration constraints, and real operational requirements.
Industrial Data Platform Development
We design and implement industrial data platforms that integrate OT and IT data into governed, scalable environments ready for analytics and AI. The focus is on architecture that allows reliability, compliance, and safe integration with operational systems.
Predictive Maintenance & Industrial AI
We build production-grade industrial AI systems that detect anomalies, predict failures, and support maintenance decisions in real operating conditions. Solutions are designed for scalability, explainability, and integration with existing operational workflows.
“We've worked for almost three years with InTechHouse and it became a successful partnership along the years with the delivery of a fully qualified On-Board Computer for space vehicle.
It started with software and hardware development, then casing and PCB routing and finally an environmental qualification. Some steps were harder than others like any electronics project but the team was always available, efficient and professional. The success of this first journey allow us to think about our future avionics developments with InTechHouse.”
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Turning industrial data into reliable systems
We design and deliver industrial data platforms and industrial AI systems with a focus on long-term reliability, governance, and safe integration with OT environments.
Problem analysis
We define the problem in the context of real operations, focusing on decision-critical use cases such as maintenance, performance, and operational risk. We assess OT/IT constraints, data availability, and system dependencies to make sure that every initiative is grounded in what can be safely implemented within existing environments.
Design
We design AI-ready data architecture and industrial analytics foundations that support both real-time and batch processing. We structure industrial data platforms to provide governed access, data lineage, and compliance, while planning OT-safe integration and Edge processing where latency, bandwidth, or security constraints require it.
Development
We build production-grade industrial data solutions and industrial AI systems aligned with operational environments. We implement ingestion pipelines across SCADA, PLC, MES, ERP, and IoT systems, and validate system performance under real conditions to guarantee stability and reliability.
Maintenance
We operate and maintain systems with a focus on long-term performance and control. We monitor data pipelines, model behavior, and system health, implementing drift detection, retraining, and governance mechanisms to ensure that solutions remain reliable, auditable, and aligned with compliance requirements.
Scaling
We scale solutions across sites and use cases by standardizing architecture and enabling reuse. We extend industrial data platforms and industrial AI systems without introducing operational risk, while optimizing storage, compute, and data transfer to maintain cost efficiency at scale.
Selected case studies
FAQs
If you have additional questions or would like to discuss your requirements, feel free to get in touch with our team.
OT/IT integration connects operational systems such as PLCs, SCADA and industrial devices with IT systems including data platforms, analytics and enterprise applications. It enables consistent data flow across the organisation and improves visibility into operations. Proper integration must not disrupt critical industrial processes.
OT/IT integration enables better decision-making by making operational data accessible in business systems and analytics platforms. It supports use cases such as performance monitoring, predictive maintenance and process optimisation. Without integration, data remains fragmented and difficult to use effectively.
Development includes building data pipelines, integrating industrial protocols, designing data models and connecting systems across OT and IT layers. It also involves handling data consistency, latency and system interoperability. The solution must be aligned with existing infrastructure and operational constraints.
Reliable data flow is ensured through robust data ingestion mechanisms, buffering strategies and fault-tolerant communication. Systems are designed to handle intermittent connectivity, data loss scenarios and varying data rates. Validation is performed under real operational conditions.
Challenges include integrating legacy systems, inconsistent data formats and strict uptime requirements in OT environments. Additional complexity comes from security constraints and differences between operational and IT system architectures. These factors require careful system design and staged implementation.
Security is addressed through network segmentation, controlled data access and secure communication protocols between systems. The architecture limits exposure of critical OT components while enabling data exchange with IT systems. Security measures are aligned with industrial standards and operational requirements.
Get in touch with our Industrial Data & AI experts
This initial conversation is focused on understanding your product, technical challenges, and constraints.
No sales pitch - just a practical discussion with experienced engineers.
Share a few details about your product and context. We’ll review the information and suggest the most appropriate next step.