Make your stack talk to itself.
Production integrations between the SaaS tools your business already pays for — Salesforce, HubSpot, NetSuite, Slack, Zendesk, Stripe — and the long tail of internal APIs. Reliable, observable, recoverable. Not duct tape.
1Your systems
Your database, app, and the internal APIs only you have.
2The integration layer
Auth, retries, idempotency, mapping, and monitoring — built once, properly.
3The tools you run on
Salesforce, HubSpot, NetSuite, Slack, Zendesk, and the rest.
An integration is easy to demo and hard to trust.
Anyone can wire two APIs together for a happy-path demo. The hard part is the day the upstream service is slow, the webhook arrives twice, a field gets renamed, or a record is deleted on one side and not the other. That's where most integrations quietly rot — and where ours are actually engineered. We build the boring, durable layer underneath: retries with backoff, idempotency, replay, and monitoring, so the connection keeps its promises long after the demo.
What we connect
If it has an API — or a halfway-decent export — it can join the system.
- 01
CRM ↔ your product
Pipeline, accounts, and usage kept in step both ways. - 02
Billing ↔ accounting
Stripe and your ledger reconciled, not re-keyed. - 03
Support ↔ customer data
Zendesk and Intercom with the context already attached. - 04
Ops ↔ internal APIs
The bespoke systems no off-the-shelf connector covers. - 05
Marketing ↔ product events
HubSpot and your app firing on real behaviour. - 06
Data ↔ the warehouse
Fresh, modelled data instead of nightly CSV dumps.
Reliable, observable, recoverable.
The integration keeps running — and tells you the moment it doesn't.
Rate-limit handling
We respect every provider's limits and back off with jitter, so a burst never drops data.
Retries with backoff
Transient failures are expected; the system retries intelligently instead of giving up.
Idempotency
The same event can arrive twice and never double-creates an order or a charge.
Replay & monitoring
Inspect any record, replay what was missed, and get alerted before customers notice.
The work behind a connection that just works.
Map the flow
Which system owns which field, how often it changes, and where it breaks today.
Design the contract
Auth, mapping, and the failure modes — decided before a line is written.
Build the reliable layer
Retries, idempotency, replay, and monitoring around the integration.
Backfill & verify
Reconcile history, prove the edges, and watch it under real load.
Operate & alert
Hand over an operator view and alerts so it stays trustworthy.
Questions teams ask first.
Two systems that should be talking?
Tell us which tools are out of sync and where the data hurts. We'll map the flow and build the integration that keeps them honest — with the retries, idempotency, and monitoring that make it last.