Custom solutions, built around the work only your business does.

Ready-made products solve repeatable problems. When your workflow, data or systems are specific to your business, we build the custom platform, automation, agent, app, API or integration around them.

WHAT WE BUILD

Data platforms Pipelines AI automations Agents Web applications APIs & integrations SaaS products Websites

Different challenges call for different forms of software. Whether it needs to clarify information, remove friction or create a new capability, the format follows the need.

HOW WE BUILD

From the way you work to a system built around it.

01

Understand the work.

We identify the decisions, data, exceptions and bottlenecks that shape the actual workflow.

02

Build the custom system.

We design the platform, automation, agent, application or integration that removes the missing step.

03

Put it into work.

We integrate it with the tools your team already uses, document it and make it maintainable after handover.

Keep what we ship useful.

Systems change with the operation. We stay close to maintain them, resolve issues and improve what is already working.

Monthly retainer

Reserved capacity for maintenance, support and continuous improvement on a steady cadence.

Prepaid hour bank

Hours available for occasional needs, drawn down only when your team uses them.

Scoped improvement

A specific upgrade, migration or new capability with agreed scope and deliverables.

REAL CASES

Custom builds we have delivered to clients.

Each one began with a way of working no ready-made tool could solve. The names change. The pattern repeats.

Custom buildBeforeSolutionAfter
A real-time IoT platform, built to scale with every customer.Sensor data was growing across customers. Building a separate system for each customer would have made the platform impossible to maintain, while generic dashboards could not handle device hierarchies, alerts or access controls.A multi-tenant IoT platform with real-time data ingestion, dashboards, configurable alerts, exportable reports and isolated data for each customer.One system supports every customer. Each team sees its own devices and data without waiting for a report or a manual handoff.
A white-label data application that turned proprietary data into a product.A company shared valuable insights through PDF reports and Excel exports. Its customers wanted to explore the data directly, but there was no product to make that possible.A white-label data application with interactive exploration, custom visualisations, role-based access, API endpoints, billing integration and multi-tenant data isolation.Static reports became an interactive SaaS product. Customers could explore the information themselves, while the business gained a scalable way to deliver its data.
An AI agent for the work between scripts.Critical Python scripts lived across different folders. People had to remember which script to run, how to configure it, and how to carry files from one step to the next.An AI agent that turns existing scripts into usable tools. A conversational interface routes each request to the right process, prepares the inputs and carries outputs into the next step.The team can run its data processes in plain language. No searching through folders, memorising commands or manually handing files between scripts.
A decision model for solar investment.Choosing the right size for a solar installation meant balancing consumption, radiation, self-consumption and surplus without a clear way to compare the long-term trade-offs.A simulation model that combines local solar radiation, historic energy demand and multiple installed-capacity scenarios.The team can compare the effect of each option before committing to an investment, choosing a system sized for its real consumption instead of a generic estimate.
A calculation engine for an actuarial team.Critical calculations lived in spreadsheets. Formulas were difficult to audit, hard to reuse and maintained differently across teams.A bespoke actuarial calculation engine covering life tables, premiums and reserves, with a documented API that fits into the team’s existing tools and reporting workflow.Calculations are reproducible, traceable and ready to use across internal systems. The team no longer has to rebuild the same formulas from scratch.

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