Industrial IoT and OT/IT integration
Make production data operational.
Connect machines and systems. Give every production event enough context to drive action.
Your plant does not need another isolated application.
It needs reliable connections, shared production context and systems that operations can understand, support and improve.
Manual capture blocks analysis
Operators copy results between paper, spreadsheets and applications. Data arrives late or detached from the product.
Machines speak different languages
PLCs, test benches and tightening tools expose inconsistent protocols, identifiers and result structures.
Enterprise and production disagree
Orders, operations, serial numbers and process results drift across ERP, MES, PLM and IoT systems.
The pilot cannot move past the first line
Naming, security, deployment, monitoring and documentation were not designed for multiple lines, fleets or sites. Maintenance becomes complex and the solution difficult to evolve.
Start with what is blocking operations.
We find the cause, fix the flow and hand over a solution your teams can operate and maintain.
Find the break. Fix the right problem.
Review architecture, data, interfaces and failure paths before committing budget.
Diagnose the flow →
Connected machines and tightening tools
Capture every result with the right context.
Link PLC, sensor, test bench and tightening-tool data to the product, operation and timestamp.
Connect equipment →Keep every system aligned.
Maintain consistent orders, operations, serial numbers and results across systems.
Align system flows →Make industrial data usable by every team.
Give equipment, production events and time-series data a shared meaning.
Structure the data →Guide operators. Remove duplicate entry.
Deliver digital instructions, record checks and keep traceability at the point of work.
Digitize the shopfloor →Run a stable, maintainable platform.
Connect equipment, structure models and keep applications ready for production change.
Strengthen the platform →Make the system easier to operate and support.
Give teams clear installation, operating, recovery and training procedures.
Improve documentation →Usable data, from machine to decision.
Every result must remain linked to its product, operation and production conditions throughout the flow.
At the sourceCapture the result with its product, operation, timestamp, compliance and equipment state.
Across systemsPreserve identifiers, meaning, ownership and recovery rules.
For the teamsGive production, quality and maintenance information they can act on.
Solutions built around operational constraints.
Traceability, asset availability, maintenance and operational performance: each sector brings its own priorities.
Part traceability, controlled configuration, assembly evidence and real-time location of components, tools and equipment.
Connected tightening tools, paperless operations, quality control and operational excellence.
BMS, building controls, transport networks and distributed asset management.
Product and equipment traceability, process parameters, quality control and production ramp-up.
Batch tracking, process parameters, utilities, downtime and quality checks.
Electric and gas network monitoring, distributed asset maintenance and legacy equipment integration.
See how difficult industrial flows are solved.
Start from your sector or operational problem, then explore the integration pattern used to make the flow reliable.
Connected tightening with product and operation context.
View traceability cases →Digital execution that removes duplicate entry and late evidence.
View shopfloor cases →Time-series monitoring for distributed assets and maintenance decisions.
View asset cases →Free industrial field guide
Audit one flow before investing in another platform.
Use 12 questions to align operations, controls, IT and quality, expose breaks, clarify ownership and reduce project risk.
Get the audit checklistIndustrialized, not abandoned after the pilot.
Audit the current flow
Observe the process, architecture, data, ownership, failure behavior and support reality.
Define the contract
Specify interfaces, identifiers, models, security boundaries, quality rules and recovery.
Deliver in production context
Connect, validate and digitize with the people who will use and support the result.
Transfer ownership
Provide test evidence, documentation, training, monitoring and rollout patterns.
Bring one difficult production flow.
We will identify the assets, systems, data contracts and operational risks involved.