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APIs & Middleware

The connective layer for systems that were never meant to talk.

Also part of AI & Automations.

Most integration work should be done with off-the-shelf connectors. They’re cheaper, faster and someone else maintains them. We build custom middleware only when that path genuinely runs out.

It runs out in fairly predictable places: a legacy or sector-specific system with no modern API, transformation logic too complex to express in a visual builder, volumes where per-operation pricing becomes absurd, strict latency requirements, or data that can’t leave your environment for compliance reasons.

What we build in that situation:

  • Integration services that handle the sync properly — incremental where possible, with change detection rather than full reloads.
  • APIs over systems that lack them, giving other tools a clean, documented way in.
  • Transformation and mapping layers where the two data models genuinely don’t line up.
  • Queuing and retry so a downstream outage delays the sync instead of losing records.
  • Idempotency, so a retry doesn’t create a duplicate — the failure mode that quietly does the most damage.
  • Monitoring and alerting, because the worst integration failure is the silent one that’s been dropping five percent of records for a month.

We document the contract and hand over the source. Middleware nobody understands is a serious liability, and integration code is exactly the kind of thing that gets written once and then depended on for a decade.

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