Getting your systems to actually talk to each other.

When two platforms don't have a ready-made integration, or the one that exists doesn't do what you need, we build the API layer that connects them properly. That might mean building an API for a system that doesn't expose one, or writing the middleware that translates between two platforms' very different data formats and authentication methods. Either way, we design it to keep working when one side changes — with proper error handling and retry logic, so a temporary outage on one platform delays data instead of silently losing it.

Payment gateways, CRMs, accounting and ERP systems, marketing platforms, booking and scheduling tools — we've connected all of these into custom applications and into each other. The goal of a good integration is that nobody has to think about it: an order placed on your site should show up in your accounting system without anyone re-typing it, and a new customer in your CRM should automatically trigger the right workflow elsewhere, without a person in the middle keeping it all in sync by hand. Businesses that get this right tend to stop treating integration as a one-off project and start treating their tools as a single connected system — which usually saves far more time, week after week, than the integration itself cost to build.

Some integrations extend past software entirely. We've built the software layer connecting physical devices and sensors into web and mobile applications — collecting data from hardware in the field, sending commands back to it, and giving your team a dashboard that reflects what's actually happening in the physical world in something close to real time. It's a different set of engineering constraints to a typical web integration — unreliable connectivity, devices that can't be assumed to be always online — and we design for those constraints from the start rather than treating them as edge cases discovered after launch.

An integration that breaks silently is worse than no integration at all, because nobody notices until the data's already wrong. We build monitoring and alerting into every integration we deliver, so a failed sync gets flagged and investigated within minutes, not discovered three weeks later during a reconciliation. Documentation comes standard too — so when a platform on the other end changes its API, whoever's maintaining the integration isn't starting from zero trying to work out what it does.

Every integration project starts with a short discovery phase: understanding exactly what systems you're running, what data lives where, and how information is currently — if at all — moving between them. That step matters more than it sounds. Building an automated integration around a workflow that was already broken just makes the broken workflow run faster and further before anyone notices the underlying problem. Once we understand the real picture, we can tell you honestly which integrations will save you the most time for the least effort, rather than starting with whichever one sounds most technically interesting to build. That's usually the difference between an integration project that pays for itself quickly and one that solves a problem nobody was actually having.