Can you integrate tools that don't have public APIs?

Often yes, through webhooks, headless browser automation, or a middleware layer. These approaches are more fragile than a real API and we will tell you that before you commit budget, along with what it costs to maintain them.

How do you handle data conflicts when syncing between systems?

We define the source of truth per field before anything is built, then test the conflict cases explicitly before go-live. Deciding this during an incident is how companies end up with three versions of a customer.

data-engineering

Integrations & APIs

Data trapped in separate tools is data you paid for and cannot use. We build the API integrations and middleware that connect your CRM, marketing stack, operations tools, and reporting layer into one system where information moves on its own.

A stack where every tool knows what the others know.

Copy-paste is the symptom. The cause is systems that cannot talk, and the real cost is not the ten minutes it takes — it is the customer record that is right in one place and wrong in two others. We architect the integration layer so your CRM, ad platforms, databases, and ops tools share state in real time, with an explicit answer to the question every integration eventually raises: when two systems disagree, which one is telling the truth?

Source of truth agreed per field, before a single sync goes live

Logging, retries, and alerting shipped with every integration

Manual exports left in the flows we take over

Integration architecture

We design for reliability before convenience. Authentication, rate limiting, pagination, idempotency, and versioning handled properly, because the webhook that works on Tuesday and silently drops records on Friday is the most expensive kind of integration.

Real-time data sync

Events propagate across systems as they happen. A new customer in the CRM appears in billing. A completed order updates inventory. A closed deal fires the onboarding sequence, without a person in the middle deciding when.

Conflict resolution

Two systems will eventually hold different values for the same field. We decide up front which one wins for each field, test the edge cases before go-live, and document the rule, so the answer is not improvised during an incident.

Observability and error handling

Every integration ships with logging, error detection, and retry logic. When a sync fails you hear about it from an alert rather than from a customer quoting a price you stopped offering last month.

Integration architecture + data flow diagram
Source-of-truth definition per synced field
API connection builds (native + custom middleware)
Real-time sync configuration and edge-case testing
Error handling, retry logic, and alert setup
Ongoing integration monitoring and support

How we work

The engagement

Trace

Follow one customer record through every system it touches, and mark each point where a human is currently the integration.

Architect

Design the data flow, auth, sync frequency, and conflict rules. Decide which system owns which field, and write it down.

Ship

Build, test against the edge cases, deploy, and monitor. An integration is finished when it survives a failure, not when it first succeeds.

FAQ

Common questions

Often yes, through webhooks, headless browser automation, or a middleware layer. These approaches are more fragile than a real API and we will tell you that before you commit budget, along with what it costs to maintain them.
We define the source of truth per field before anything is built, then test the conflict cases explicitly before go-live. Deciding this during an incident is how companies end up with three versions of a customer.