The layer that decides whether systems hold together.
REST and GraphQL APIs, webhooks, and integration architecture that connect your software to the systems your business already runs on. Designed as contracts, instrumented so failures surface the same hour rather than the same week.
Problem
shapes.
The same data lives in several systems and nobody can say which one is authoritative.
Monthly reconciliation is done by hand because the systems do not talk to each other.
A third party API change broke something and nobody noticed for a week.
You need to expose your product to partners or customers through an API.
A vendor system cannot be replaced yet, but it must connect to new software.
Data feeds arrive late, duplicated, or in inconsistent formats.
What the
work covers.
The layer that decides whether systems hold together
Most operational pain inside a business sits between systems rather than inside them. An order exists in three places. A customer record is updated in one tool and stale in another. A finance team reconciles by hand every month. The integration layer is where that gets fixed, and it is engineering work rather than configuration.
APIs designed to be depended on
Clear resource design, consistent error semantics, versioning, pagination, rate limits, and documentation. An API becomes a contract the moment another team builds against it, so it is designed with that in mind rather than grown organically out of whatever the first consumer needed.
Third party integrations that tolerate reality
Vendor APIs have downtime, change without notice, and return errors in inconsistent shapes. We build adapters with retry logic, backoff, idempotent writes, dead letter queues, and alerting, so a brief outage at a third party does not become a gap in your records.
Webhooks and event driven flows
Inbound webhooks are validated and deduplicated, outbound events are delivered reliably with retry, and every flow has an audit trail. When something does not arrive, you can see exactly what was sent and what the receiving system acknowledged.
Data pipelines and synchronisation
Scheduled syncs, bidirectional replication with conflict rules, and reconciliation reports that surface discrepancies rather than hiding them. Where two systems must both accept writes, the conflict resolution rule gets decided in writing before the build.
Observability for the integrations themselves
Dashboards showing volume, latency, failure rates, and retries per integration. Most teams discover an integration has been failing for a week when a customer complains. Instrumentation turns that into a problem that gets detected the same hour.
What you
receive.
Integration architecture and data flow mapping
Documented REST or GraphQL API with versioning
Authentication, scoping, and rate limiting
Third party adapters with retry and backoff behaviour
Idempotency guarantees on write operations
Webhook ingestion with validation and deduplication
Scheduled sync jobs with reconciliation reporting
Error handling and dead letter queue strategy
Monitoring dashboards and alert thresholds per integration
API documentation and consumer onboarding guide
Asked before
engagement.
Can you integrate with any third party system?
Almost always, but the effort varies enormously. Systems with a documented API are straightforward. Systems with no API require alternate approaches that we will scope honestly rather than promising upfront.
Do you build public APIs for partners?
Yes, including authentication, documentation, rate limiting, and versioning. A public API is a product with consumers, so we design it as one rather than exposing internal endpoints.
What happens when a third party changes their API?
Adapters isolate the change to one place, alerts surface failures quickly, and support agreements cover maintenance as vendors evolve. This is exactly the work that tends to go unmaintained after a vendor relationship ends.
How do you handle data that fails to sync?
Failed records go to a dead letter queue rather than being silently dropped, and a reconciliation report surfaces discrepancies on a schedule. Silent data loss is the failure mode we explicitly design against.
Can you make an old system available through a modern API?
Yes, which is a common engagement. We build a modern interface in front of a legacy system so new software can consume it without waiting for a replacement project.
Get a working prototype
before you commit budget.
Send us what you are trying to build. We will come back with a scoped technical sheet, a written proposal with every cost stated up front, and a free prototype of the core workflow so you can evaluate real software rather than a sales deck.