Integration & API Services
Connect your systems. Stop re-entering data.
If your team copies information between the ERP, the CRM, and spreadsheets every day, something is wrong. We build integrations that move data where it needs to go, with no manual re-entry and no spreadsheet glue.
What we build
The pattern is always the same. A team copies data between systems every day, the numbers drift, and by month-end nothing reconciles. These are the integrations we build to stop that.
- Sync pipelines between ERP, CRM, and spreadsheets. Idempotent writes, so retries never duplicate records and the two sides stay in agreement even after a failure.
- Webhook-driven event flows. Things happen in real time instead of running overnight and leaving the rest of the business with stale numbers until morning.
- Cross-platform bridges. Slack, WhatsApp, email, and internal tools connected so the right message lands in the right place without anyone forwarding anything by hand.
- Data pipelines with observability built in. Pull from one system, apply the transformations you need, push to another, and see logs at every step so you know what went through and what failed.
- Scheduled reconciliation jobs. They catch drift between systems before month-end and either fix it automatically or flag it for someone to review.
Technologies
Integration work lives or dies on observability and retry semantics. The stack we reach for reflects that: transport that has been tested in production, clear authentication, and databases that match your actual data shape.
- APIs. REST and GraphQL for most work, plus gRPC when latency matters.
- Message queues and streaming. Kafka, SQS, RabbitMQ, and Redis Streams, picked based on the durability, retention, and throughput the workload needs.
- Authentication. OAuth2 for user-context access, JWT for service tokens, and HMAC signing for webhook verification.
- Orchestration. Zapier and Make when the volume is low and the logic is simple, custom middleware when it is not.
- Databases. PostgreSQL, MySQL, MongoDB, and Redis, chosen based on your data model rather than on preference.
How we'd work on this
A common situation
A team re-enters orders from the ERP into the CRM every morning. Someone copies client data from one spreadsheet into another. Mistakes get through, and by month-end the reports don't match.
How we'd approach it
Map the integration surface, build a one-way sync with idempotent writes, add observability logs so you can see what went through and what didn't. Ship in 2-4 weeks.
What you'd get
A working pipeline, a technical plan, and baseline metrics. After 30 days of use, you'd have real numbers on time saved and errors caught.
Questions about integrations and APIs
Every sync uses idempotent writes. Each record has a stable key on both sides, so the same event applied twice produces the same result. Network retries become noise, not duplicates.
For high-throughput real-time flows we use Kafka, with consumers that commit offsets only after successful processing so a crash does not drop messages. For lighter pub/sub inside a single system, Redis Streams and Redis Pub/Sub are cheaper and easier to operate. For third-party systems, we prefer webhooks with HMAC signing over polling. The mix comes out of the diagnostic based on load, latency, and retention needs.
For anything an end user notices (notifications, order status, account balance), yes. Webhooks deliver in seconds instead of letting data age until the 3am job. For accounting reconciliation and closed reports, batch still has its place.
Per-step observability. Structured logs at every transformation, success and failure metrics per endpoint, alerts when the error rate drifts. Without that, an integration is a black box that seems fine until the day it is not.
It depends on durability and throughput. SQS for AWS workloads where you want minimal ops. RabbitMQ when you need topic routing or per-message acknowledgments. Redis Streams when the queue already shares cache with the rest of the app. The choice goes into the technical plan based on the actual load.
Brazilian ERPs like TOTVS, Senior, and Omie, plus the big international platforms: Salesforce, HubSpot, SAP, Oracle NetSuite, Microsoft Dynamics, Jira, Zendesk, Shopify, Stripe, QuickBooks, Google Workspace, and Microsoft 365. Where a REST or SOAP API exists, we use it. Where no API is exposed, we fall back to file extraction, SFTP drops, or browser automation.
Our differentiators
- Working prototype before any long-term decision
- No lock-in: you keep all code and documentation
- Projects start in days, not weeks
Let's talk about your case
Talk to the Lab
Describe the challenge in a few lines. We'll get back to you to discuss next steps.
What happens next
- 30-min call, no commitment
- Diagnostic in 1-2 weeks
- Working prototype in 2-4 weeks, technical plan in 1 week
Start here