Connect the Systems That Refuse to Talk

Most operational pain is not inside one system. It is in the gap between two. We build backend APIs and integrations that connect your software, your vendors, and your data, so information moves automatically instead of being exported, emailed, and re-keyed.

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The symptom is always the same. Someone downloads a report from one system and uploads it to another, or retypes an order that already exists somewhere else. Every one of those handoffs is a delay and a chance to get it wrong, and they multiply quietly as a business adds tools.

We work at both ends of that problem. Sometimes it means building an API: a clean, documented, authenticated interface to your data that your own apps and your partners can use. Sometimes it means integration, which is connecting to systems you do not control, handling their rate limits and their outages, and translating between two systems that describe the same thing differently.

The hard part is rarely the happy path. It is what happens when the other side returns an error at 2am, sends a duplicate, or changes a field without telling anyone. We build for that explicitly, with retries, idempotency, validation at the boundary, and logging that lets you see what actually happened instead of guessing.

What we build

Signs you need this

What you end up with

Tools and platforms

API Development and Integration questions

What does an API integration project usually involve?

Mapping what each system means by the same words, agreeing how data flows and how conflicts resolve, then building the connection with authentication, validation, retries, and logging. The mapping is the part people underestimate, because two systems rarely define customer or order identically.

Can you connect software that has no API?

Usually. Options include building an interface directly against its database, using export mechanisms on a schedule, or putting a modern API in front of the system. Which one fits depends on how the system is licensed and hosted, and we assess that before promising anything.

What happens when a third party service goes down?

Anything crossing a network fails eventually, so we design for it: retries with backoff, queued work that resumes, idempotency so a retry cannot double charge or duplicate a record, and alerting when something stays broken. The failure mode should be a delay, not corrupted data.

How do you keep an API secure?

Authentication on every endpoint, authorisation checked server side rather than in the client, validation of all input at the boundary, scoped credentials, rate limiting, and transport encryption. Secrets live in a secret manager, never in the codebase, and that applies to our own work as much as to advice we give.

Will we be able to maintain it after you hand it over?

That is the intent. APIs ship documented, with the integration behaviour covered by tests so a change that breaks a contract fails before it reaches production. You own the code and can extend it in house or keep us on a support plan.

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