Connect systems beyond the built-in options
Link operational software, vendor APIs, customer applications, and specialist tools where native connectors do not cover the workflow.
Engineering & connected systems / APIs, integrations & data platforms
Connect applications, external services, and operational data with clear ownership and reliable handoffs. From one missing integration to the data foundation behind an entire product.
Based in Bloomington, Illinois. Working with teams across the United States.
Where it fits
Moving a record from one system to another is the easy part. The important questions are which system owns it, what happens when something fails, and whether the people using the data can trust it.
Link operational software, vendor APIs, customer applications, and specialist tools where native connectors do not cover the workflow.
Give applications or partners a stable way to access the right data and actions, with authentication, permissions, and documented behavior.
Bring data from several sources into a consistent model for applications, analytics, or machine learning without losing track of its origin.
What we deliver
Vendor access, API limits, licensing, and source data quality affect scope. We check those constraints before committing to a connector. We will not promise a real-time sync where the source cannot support one.
How we work
Start with a free fit conversation. We will discuss the requirement, decide what needs a closer look, and quote the next useful scope privately.
Identify the systems, records, and people involved. Agree on ownership and how conflicts should be handled.
Test access, data mapping, volume, and failure behavior before expanding the integration.
Make failures actionable and define how records are checked, recovered, and maintained as vendors change.
Before we start
No. We work across application APIs, operational platforms, data pipelines, and connected devices. CRM integration is one specific use case, with its own service page.
Often we can. We review native integrations and the tools you already have first. Custom code is appropriate when the required behavior, data controls, or reliability cannot be covered cleanly.
You do not need a finished brief. Bring the idea, the existing system, or the part of the work that is not working.