Charu Solutions

Custom Solutions

For the problem that does not fit a category

Custom Solutions at Charu Solutions

The approach

Some problems do not map onto a service line. A piece of hardware that needs a data pipeline. A regulator asking for a report nothing in your stack can produce. An idea that needs a working prototype before anyone will fund it properly.

This is where that work goes. We scope it as a short, bounded engagement with a clear question to answer or artefact to deliver, so you are not committing to a programme before you know whether the idea holds. If it does hold, the prototype is built well enough to grow into the real thing rather than being thrown away.

What’s included

  • Proof-of-concept and prototype development
  • Research spikes to de-risk a technical unknown
  • One-off integrations and data migrations
  • Internal tooling and admin interfaces
  • IoT, hardware and device data pipelines
  • Bespoke reporting for regulatory or board requirements

What you get out of it

  • A working answer to a technical question, in weeks not quarters
  • Enough evidence to fund the full build with confidence
  • A prototype built to grow rather than to be discarded

Custom Solutions · Questions

Custom Solutions: common questions

What counts as a custom solution?

Anything that does not map onto a standard service line: a prototype needed before a project can be funded, a one-off data migration, an integration between two systems nobody has connected before, internal tooling, or a report a regulator wants that nothing in your stack can produce.

How do you scope work when the outcome is uncertain?

As a short, bounded engagement with one clear question to answer or artefact to deliver, so you are not committing to a programme before you know whether the idea holds. If it does hold, the prototype is built well enough to grow into the real thing rather than being thrown away.

Will a prototype have to be rebuilt for production?

Not if it is built with that in mind. We use the same languages and patterns we would use in production and skip the operational scaffolding — monitoring, scaling, hardening — rather than skipping the engineering. That keeps the prototype cheap without making it disposable.