Most businesses run on a collection of tools that were never designed to work together. Data moves between them manually, by spreadsheet, or not at all. We fix that — connecting your systems into a unified ecosystem where information flows automatically and nothing falls through the cracks.
Every integration project is different. Some are straightforward API connections; others involve decades-old systems with no documentation and unpredictable behavior. We have handled both ends of the spectrum and everything in between.
Custom REST APIs and GraphQL endpoints that connect your systems cleanly. We design for versioning, rate limiting, authentication, and long-term maintainability — not just the happy path.
Salesforce, HubSpot, SAP, Oracle, Microsoft Dynamics — we've integrated them all. Including bidirectional sync, conflict resolution, and handling the inevitably messy data models that enterprise platforms accumulate over years.
Stripe, Braintree, PayPal, Adyen, and regional payment providers. We handle the full integration including webhooks, idempotency, refund workflows, and compliance requirements like PCI DSS scoping.
Not every system has a nice REST API. We build middleware adapters, SFTP-based integrations, database connectors, and screen-scraping automation to connect legacy systems that were never designed to talk to anything else.
Message queues, pub/sub systems, and event streaming using RabbitMQ, Kafka, AWS SQS, or Google Pub/Sub. Decoupled architectures that handle failures gracefully and scale without tight coupling between services.
Moving data between systems, whether one-time migration or ongoing synchronization. We handle schema mapping, transformation logic, validation checksums, and rollback plans.
Bidirectional real-time sync between a client's custom-built operations platform and Salesforce CRM, handling conflict resolution and field mapping across 40+ object types.
Full migration from a legacy payment provider to Stripe for a marketplace platform, including historical subscription migration, zero-downtime cutover, and reconciliation validation.
Daily extraction from an on-premise SAP instance (via SFTP and database connector), transformation, and loading into Snowflake for analytics and reporting.
A unified API layer aggregating 12 third-party airline and hotel APIs with real-time availability and pricing, caching strategy, and graceful degradation when upstream APIs are down.
We document every system involved, its data model, API capabilities (or lack thereof), volume, and latency requirements. Surprises in integration projects almost always come from undocumented system behavior — we find them early.
We design the integration pattern — direct API, message queue, ETL pipeline, or middleware layer — based on volume, latency, and failure tolerance requirements. Architecture decisions made here determine whether the system is maintainable in two years.
We build the integration layer, connector adapters, and transformation logic. We write integration tests that verify data integrity end-to-end, not just that the code runs.
Historical data migration with row-level validation, checksums, and parallel-run verification. We confirm that data in the target system matches the source before switching over.
Load testing under realistic volume, end-to-end integration testing across all connected systems, and a staged rollout. Go-live with monitoring in place from day one.
Integration failures are silent killers — data stops flowing and nobody notices until a report is wrong three days later. We set up alerting on integration health, data volume anomalies, and error rates.
Integration projects fail more often than most software projects because the complexity hides in the data, not the code. Here are the most common failure modes we see — and how we prevent them:
We run a system audit before writing a line of code, including reading actual database schemas and testing against production data.
Every migration includes a validated rollback procedure tested in staging before touching production data.
We design with rate limits as a first-class constraint, using queuing and backoff strategies appropriate to each upstream system.
Integration health dashboards, data volume alerts, and error rate notifications are set up before go-live — not added later.
APIs change, systems update, data models evolve. We design for change with versioning, adapter patterns, and clear change management processes.
From strategy to execution, we help companies grow through smart, reliable technology built for long-term success. Our team partners with you to understand your goals, streamline processes, and design solutions that support sustainable growth.
Get in Touch