Marine asset inspection software
Offline-first inspection applications for a specialist marine inspection business, designed around field reliability, evidence integrity, engineering review and structured report production.
View the workOperational Software · Data Platforms · Decision Systems
Operational software for complex, regulated and asset-intensive organisations.
Connected Intelligence designs and builds specialist systems for energy, engineering, financial services and manufacturing.
We replace fragmented processes, disconnected data and difficult-to-evidence decisions with software that fits the operating environment.
UK-based · Senior-led · From operating requirement to production
Where ordinary software stops being enough
Some processes can be improved by configuring an established product. Others depend on technical rules, multiple sources of data, field conditions, regulatory evidence or specialist judgement.
Those are the problems we take on.
The design must do more than sequence tasks. It must preserve the basis of a decision, respect the boundaries of existing systems and remain usable by the people accountable for the outcome.
What we build
Operational software
Internal applications, field tools, portals, workflow systems, review queues and operational dashboards built around the work itself.
Data and integration
Pipelines, APIs, reconciliation, lineage and the integration of legacy, cloud, document, spreadsheet and sensor data.
Decision systems
Rule engines, engineering calculations, predictive models and AI-assisted workflows with explicit human accountability.
Architecture and assurance
Solution architecture, cloud infrastructure, security controls, testing, modernisation and production readiness.
The operating problems we are asked to solve
- A critical process is spread across email, spreadsheets, documents and individual memory.
- Staff repeatedly reconcile the same information across systems that do not agree.
- A decision can be made, but its basis cannot be reconstructed with confidence.
- Field and operational teams work around the software rather than through it.
- Management reporting is slow because the underlying data is not operationally coherent.
- An automation or AI pilot exists, but there is no safe route into production.
- Valuable specialist methods remain dependent on a small number of experienced people.
We map the work, define the data and control model, design the system boundaries, build against representative cases and validate the result with the people who will use and govern it.
Selected work
Financial control and compliance platform
CalcBridge is being developed to bring documents, portfolio data, calculations, tests, exceptions and scenario analysis into a source-backed operational workflow.
View the workManufacturing and logistics data operations
Multi-source pipelines and operational reporting for production, picking, vehicle, cost and defect data previously assembled through spreadsheet-led processes.
View the workDistributed infrastructure operations
Solution architecture for a digital operating layer around multi-site energy and service infrastructure, combining asset status, availability, maintenance, scheduling, field activity and management information.
View the workTechnical discipline, grounded in the operation
Relevant to the domain
We begin with the operating method, vocabulary, constraints and failure modes. Technology choices follow.
Defensible by design
Sources, transformations, rules, versions, exceptions and approvals are made visible where they matter.
Built for the existing estate
Most organisations are not blank sheets. We integrate with legacy systems, files, instruments and established operating practices rather than assuming wholesale replacement.
Owned through production
The people responsible for the architecture remain close to implementation, testing and deployment. Important decisions are not lost between a strategy team and a delivery team.
Before recommending a build, we establish whether the requirement justifies bespoke software or is better served by integration, firmer data discipline or a controlled extension to an existing platform.
Bring us the process that is difficult to operate, the decision that is difficult to evidence, or the system that no longer fits the work.
A useful first conversation is specific: what the organisation is trying to do, how the work is carried out today and where the present arrangement creates cost, delay or risk.