Service

API & System Integrations

Connecting the systems that should already agree with each other, without brittle nightly batch jobs.

Most businesses run on more systems than anyone chose deliberately — a CRM here, an ERP there, a handful of SaaS tools that accumulated over time. The cost shows up as manual reconciliation: someone checking that two systems agree, because nothing guarantees they do.

We design and build integration layers that keep systems in sync in something close to real time — webhook-driven updates instead of nightly batch jobs, idempotent processing that survives retries and failures gracefully, and clear ownership of which system is the source of truth for which data. Where no clean API exists, we build resilient bridges that isolate the fragile parts instead of letting an unreliable third-party system take down your own.

We also build the observability layer that integration work is usually missing: logging, alerting, and dashboards that tell you when a sync fails, instead of finding out three weeks later from a customer complaint.

What's included

Real-time data sync

Webhook-driven integration instead of brittle nightly batch jobs.

Resilient error handling

Idempotent processing that survives retries and partial failures.

Source-of-truth design

Explicit ownership of which system is authoritative for which data.

Integration observability

Logging and alerting so sync failures surface immediately, not weeks later.

Why it matters

Systems that actually agree

No more manual reconciliation between tools that should already match.

Fails loud, not silent

You find out about a broken sync from an alert, not a customer.

Built to survive failure

Retries and partial outages don't corrupt your data.

How we deliver it

01

Discover

We learn the actual system — existing code, data, constraints, and the business problem underneath the feature request — before proposing an approach.

02

Design

Architecture, data model, and technical approach get written down and reviewed before implementation starts, so scope and trade-offs are explicit.

03

Build

Incremental delivery against a working system, not a big-bang release — you can see progress and redirect it early.

04

Validate

Functional testing, security review, and performance checks appropriate to what's being shipped, not a rubber stamp.

05

Launch

Deployed with monitoring and rollback paths in place, not just a green build.

06

Scale

We stay engaged post-launch to harden what's actually under load, not just what looked right in a demo.

Technologies we use for this

TypeScriptNode.jsRedisGraphQL

Related solutions

Related work

Industries we apply this in

Ready to talk about api & system integrations?

We'll walk through your situation and give you a straight answer about fit.