What we do
Connecting what you already run.
Legacy systems, data pipelines, APIs, and hardware protocols — connected to the rest of your stack without a risky rewrite of what already works.
Legacy Bridging · Data Pipelines · API & Middleware · Device Integration
Why it matters
AI and new features only reach production if they can actually talk to the systems you already run — the old database, the vendor platform with no modern API, the sensor feeding a spreadsheet by hand. Integration is the unglamorous work that makes everything else possible, and it's usually where a project's real risk lives, not in the flashy part.
How it works
- 01Map what exists
What systems are in play, what they actually expose, and where data currently moves by hand instead of automatically.
- 02Choose the least invasive path
The integration approach that gets systems talking with the smallest footprint on what already works — rarely a full rewrite.
- 03Build the connection as real infrastructure
Monitored, documented, and tested — not a background script nobody owns once it ships.
- 04Validate against real data
Tested against your actual data and load, not a clean sample that never has to survive contact with production.
Use cases
Connecting a system that was never built to talk to anything else to the rest of your stack.
Learn more →Data pipeline engineeringMoving data from where it's created to where it's needed, with validation at each step.
Learn more →Data preparation & labelingCleaning, structuring, and labeling data so it's actually usable.
Learn more →API & middleware developmentThe layer between two systems that don't speak the same language.
Learn more →Device & protocol integrationGetting data out of hardware and industrial protocols and into a system that can use it.
Learn more →Web & mobile application buildsThe interface your team or your customers actually use, built to the same delivery model as everything else.
Learn more →Benefits
- Legacy and modern systems connected without a risky rewrite
- Data pipelines that catch bad records instead of silently passing them downstream
- A documented, monitored connection instead of a fragile, undocumented one
Technologies
Matched to what your systems actually run — relational and legacy databases, message queues, industrial and device protocols (Modbus, MQTT, serial), and modern API standards — selected per integration rather than a single fixed stack.
Frequently asked
Is this always a precursor to an AI project?
Often, but not always — integration work stands on its own whenever systems need to talk to each other, with or without an AI component attached.
Do you replace our legacy systems?
Rarely. Most engagements connect to what exists rather than replacing it — a rewrite is a much bigger risk than most integrations justify.
How do you handle systems with no documented API?
There's almost always some integration surface — a database, scheduled exports, or a last-resort read of the interface. Which one makes sense gets confirmed during scoping, by testing against the real system.
Can this work alongside an existing Dedicated Node?
Yes — integration work is a normal part of a node's scope, not a separate engagement to set up.
Not sure this is the right fit yet?
A systems readiness review is a lower-commitment way to find out before anything gets built.