Solutions
Linkdlab combines workflow design, device control, and analytics into a single modular interface that scales from pilot labs to entire research departments.
Compose automation steps, conditional logic, and data capture using reusable nodes that reflect real lab operations. And directly integrate the data into an analysis pipeline to get live insights and automated feedback
Native connectors keep devices, external data sources, and analytics services synchronised without brittle scripts or manual passing of Excel files.
Many solutions are built for a specific use case—Linkdlab is built for the reality that research labs are dynamic and ever-changing. Workflows can be easily changed, functions can be swapped out, and components can be reused in other workflows.
Implementation cadence
Our rollout blueprint reduces risk while delivering measurable wins in each phase.
Jointly catalogue workflows, data sources, and compliance obligations to define success metrics.
Model priority workflows inside Linkdlab, connect core devices, and provision role-based access.
Run shadow executions with production data, refine guardrails, and capture documentation for QA.
Train lab teams, hand over runbooks, and schedule quarterly optimisation checkpoints.