Digital Transformation in Operational Technology (DxOT)

Grounds transformation in operational reality, assessing digital maturity, exposing the gaps that carry the most business and operational risk, and building a phased roadmap tailored to how your plants run. Technology-agnostic and without a predetermined destination, we meet you where you are and chart a clear path to measurable outcomes.

Designs scalable, resilient network, cloud, and edge architectures that support every layer of the operation, from the shopfloor to the boardroom, unifying plant-floor systems, edge infrastructure, and enterprise platforms into a coherent foundation that enables real-time data processing, and the digital capabilities organizations need to grow into.

Secures converged IT/OT environments where connectivity has outpaced protection, delivering security assessments, IEC 62443 alignment, network segmentation, and application zoning to reduce cyber, safety, and regulatory risk across the full operational attack surface.

Solves the “data rich, insight poor” problem by modernizing data pipelines, governance, contextualization, and architecture, including structured migration of historians, MES, and OT data to modern platforms like UNS, to enable real-time visibility, analytics, and AI-ready operational data across the enterprise.

Addresses the brownfield reality most operations live in, stabilizing and modernizing legacy OT infrastructure without disrupting production, and integrating aging plant-floor systems with IT, cloud, and enterprise platforms to eliminate the reliability and interoperability gaps that block digital progress.

Puts actionable information in the hands of the people doing the work, deploying Industry 4.0 connected worker capabilities including digital work instructions, mobile HMI, wearables, and AR-assisted guidance to improve execution, reduce errors, and close the loop between the workforce and the systems that support them.

Uses operational data and advanced analytics to anticipate failures, optimize maintenance strategies, and eliminate unplanned downtime, shifting organizations from reactive response to a prescriptive, AI-informed asset performance model.

Connects quality data across the production lifecycle, integrating process, equipment, and inspection data to deliver real-time quality intelligence, strengthen operations assurance, and support continuous improvement at scale.

Modernizes laboratory and quality assurance systems integrating LIMS with manufacturing, MES, and enterprise platforms to improve data integrity, regulatory compliance, and lab-to-production traceability. Designed for regulated environments with ALCOA+ and 21 CFR Part 11 requirements in scope.

Extends operational data continuity beyond the plant floor, connecting production, inventory, logistics, and autonomous systems including robotics and warehouse automation to improve demand responsiveness, traceability, and end-to-end supply chain performance.