We design and build integration architectures and adapters - utilising global standards such as HL7 and SnoMEDand - to connect your instruments, robotics, LIMS, ELNs, databases, and analytics tools — eliminating manual data handling, improving traceability, and making your laboratory data work harder.
Most laboratories have instruments and software that were never designed to work together. The result is manual data handling, transcription errors, and limited traceability — even in otherwise modern labs.
Scientists exporting files, reformatting data, and manually entering results into LIMS or databases — slow, error-prone, and untraceable.
Instruments generating data in proprietary formats with no automated path to downstream analysis or reporting systems.
Gaps in traceability between sample, instrument run, data output, and reported result — a compliance and QC risk.
Manual or semi-automated pipelines that depend on specific folder structures, naming conventions, or manual triggers — and break frequently.
Data spread across network drives, instrument computers, spreadsheets, and databases — with no easy way to query across all of it.
QC results being reviewed days after a run, when the ability to intervene has already passed, due to manual reporting processes.
We build integrations across the full laboratory stack — physical instruments through to reporting and analytics — using APIs, file watchers, database connectors, and custom integration middleware.
Whether you want to connect a new instrument to your LIMS, build a data pipeline from scratch, or fix a fragile existing integration, we'd love to hear about it.
Based in Australia · Remote integration work available globally