Platform Integrations
We connect your systems so data moves reliably — API integration, workflow automation, and middleware built to survive the failures that integrations always hit.
Platform integration is the work of making separate systems behave like one — and it's harder than it looks, because every integration eventually hits a timeout, a rate limit, or a payload that changed without warning. We build API integration and systems integration that survive those failures: idempotent writes, retries with backoff, dead-letter handling, and a clear record of what synced and what didn't. Whether it's connecting your product to a third-party platform, wiring internal systems together, or workflow automation across tools your team already uses, we build the middleware layer to be reliable first and clever second.
API integration that survives the real world
Third-party APIs fail in every way an interface can: timeouts, rate limits, partial outages, silent schema changes, and the occasional 200 that's actually an error in disguise. Robust API integration treats those as the normal case, not the exception. We build with retries and exponential backoff so a transient blip self-heals, idempotency keys so a retry never double-charges or double-creates, and circuit breakers so one struggling dependency doesn't drag your whole system down with it. We isolate each external call behind an interface we control, so when a provider changes its contract — and it will — the blast radius is one adapter, not your entire codebase. The integration that works in the demo is easy; the one that's still working after the provider's bad deploy is the job.
Systems integration and the shape of your data
The hardest part of systems integration is rarely the wire protocol — it's that two systems model the same thing differently. One calls it a customer, the other an account; one stores money as a decimal, the other as integer cents; one's required field is the other's optional. We map those domains carefully and put the translation in one place, so the mismatch is handled deliberately instead of leaking into business logic across your app. We decide explicitly which system owns each piece of data, how conflicts resolve, and what happens when they disagree — because two sources of truth with no tie-breaker is how data quietly rots. Done right, systems integration leaves each system clean and the seam between them well defined.
Workflow automation that's worth trusting
Workflow automation is only useful if you trust it to run unattended — a flow that needs babysitting is just manual work with extra steps. We build automations that are observable and safe to leave alone: every run leaves a record of what it touched, failures alert instead of vanishing, and steps are idempotent so a re-run doesn't duplicate the side effects. We're careful about where automation acts on its own versus where it pauses for a human, especially when money or irreversible actions are involved. The goal is to take the repetitive cross-system work off your team's plate — the data entry, the status syncing, the handoffs — without trading a manual chore for a mysterious one nobody can debug.
Middleware as a deliberate layer, not glue
When you connect more than a couple of systems, the integration logic deserves to be a real layer rather than scripts scattered through the codebase. We build middleware that owns the connections, the translations, and the retries in one place — a clear seam between your core system and everything it talks to. That layer is where we centralize auth and credential handling, normalize the data shapes, and put the observability so you can see traffic across every integration from one view. Treating middleware as deliberate architecture, not glue, is what keeps the tenth integration as easy to add as the second, and keeps a change to one connection from quietly breaking three others.
Webhooks, queues, and eventual consistency
Real-time sync between systems is usually an illusion you pay too much for; what you actually want is reliable, eventually consistent sync that survives one side being down. We lean on queues and webhooks: inbound events land in a durable queue and get processed with retries, so a burst or a downstream outage delays work rather than dropping it. We verify webhook signatures, dedupe redelivered events, and design every consumer to be idempotent because at-least-once delivery means you'll see the same event twice. This is the difference between an integration that loses a record under load and one that catches up cleanly once the pressure passes — eventual consistency, handled on purpose.
- API integration with retries, backoff, idempotency keys, and circuit breakers
- Each external dependency isolated behind an adapter you control
- Domain mapping and clear data ownership across systems, conflicts resolved deliberately
- Workflow automation that's observable, idempotent, and safe to run unattended
- A real middleware layer owning connections, translation, auth, and observability
- Durable, queue-backed event processing with verified, deduped webhooks
- Integrations that self-heal through transient failures instead of losing data
- One observable middleware layer, so the tenth connection is as easy as the second
- Cross-system work taken off your team's plate without becoming a black box
Use cases
Your product needs to sync with an external service whose API fails in creative ways. We isolate it behind an adapter, add retries and idempotency, and make sure a provider outage delays work rather than corrupting your data.
Two internal systems model the same data differently and drift out of sync. We map the domains, decide who owns what, and build a middleware seam so each side stays clean and conflicts resolve on purpose, not by accident.
A repetitive process spans several tools and eats your team's time. We automate it with observable, idempotent steps that alert on failure and pause for a human where it matters — so the chore disappears without becoming a mystery.
Common questions
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Product Engineering
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