Inspection and field applications
Guided inspection workflows, asset identification, photographic and documentary evidence, offline operation, synchronisation and review.
Industrial & Engineering
Software for engineering work that must remain technically defensible.
Connected Intelligence builds inspection, test, calculation and asset-health systems that preserve the evidence behind every result.
We work with specialist engineering methods, field data, instruments, calculations and review processes that cannot be reduced to a generic workflow.
The engineering method is part of the product
Generic software teams can treat formulas, units, tolerances and instrument behaviour as implementation detail. In engineering systems, they are the system.
We begin by documenting the method: inputs, measurement context, calibration, transformations, calculations, acceptance criteria, exceptions and review authority. The software is then designed so that a result can be reproduced, reviewed and defended.
An automated pass or fail should never be a naked output. The system should retain the route from raw evidence to derived value, applicable rule and final engineering decision.
Where we help
Test and sensor-data systems
Engineering data acquisition, signal processing, event capture, instrument metadata, result derivation and visualisation.
Calculation and rules engines
Controlled implementation of equations, lookup tables, tolerances, acceptance criteria, classifications and engineering recommendations.
Asset health and condition monitoring
Condition histories, anomaly detection, failure indicators, predictive models, maintenance recommendations and asset-health dashboards.
Engineering reports and certificates
Automated generation of technical reports, inspection records, calculations, charts, certificates and evidence packs from governed data.
Engineering portals and workflow
Client portals, review queues, QA and QC workflows, project records, asset histories and controlled release of findings.
Digital representations and twins
Useful digital representations of assets and processes, connected to the data needed for monitoring, simulation, maintenance or operational decisions.
Engineering controls by design
- Correct identity and hierarchy for assets, tests, readings and evidence
- Retention of raw data alongside derived results
- Instrument, configuration and calibration metadata
- Explicit units, conversions, precision, rounding and tolerances
- Versioned calculations, rules and reference data
- Automatic invalidation of results when relevant source data changes
- Manual override only with reason, authority and audit history
- Traceable links from result to evidence and applicable method
- Validation against reference calculations and known cases
- Role-based collection, analysis, review and approval
- Offline behaviour, synchronisation and conflict handling
- Reproducible reports from the governed record
These controls determine whether the software can support professional engineering responsibility.
Selected work
Marine asset inspection software
Connected Intelligence has designed and developed offline-first Windows applications for marine asset inspection.
The systems structure the inspection process, associate test readings and photographic evidence with the correct asset, preserve an auditable record, support controlled analysis and generate client-ready reports. They are designed for field use in port environments where connectivity cannot be assumed.
The architecture separates collection from specialist review so that the software strengthens, rather than displaces, engineering accountability. It also creates the data foundation from which increasingly automated analysis and decision support can be developed responsibly.
From expert method to reusable software and IP
Many specialist engineering businesses hold valuable methods in worksheets, templates, macros, calculation files and the judgement of senior engineers.
That knowledge is commercially important but difficult to scale, assure or transfer.
We turn the repeatable parts of the method into maintainable software: explicit data structures, versioned calculations, guided workflows, review controls and evidence. The result can support internal delivery, strengthen a client service or become a product that can be licensed and improved over time.
Machine learning in engineering decisions
Proprietary engineering datasets can support classification, anomaly detection, failure prediction and surrogate models. The opportunity is strongest where the data has been collected consistently, labelled against expert outcomes and linked to the operating context.
We do not present model output as certainty. Confidence, validation limits, drift, edge cases and the route to engineer review are part of the system design.
Built for the people accountable
We work with:
- Engineering consultancies
- Inspection and non-destructive testing providers
- Asset-integrity and condition-monitoring businesses
- Test and measurement organisations
- Original equipment manufacturers
- Infrastructure and industrial asset operators
- Specialist field-service companies
- Engineering firms developing proprietary digital products
Typical sponsors include technical directors, engineering managers, heads of inspection, asset-integrity leads, product directors and operations directors.
Turn a specialist engineering method into a reliable operating system or product.
Bring us the inspection, calculation, test or asset decision that currently depends on fragmented tools or difficult-to-transfer expertise.