Start with one repeatable task
Bring a process that consumes time or produces inconsistent outputs. We examine the inputs, rules, exceptions and expected result before deciding what should be automated.
- IFC data extraction and information quality checks.
- Model information organization and semantic enrichment.
- Prototype workflows linking model data to downstream tools.
- Technical documentation and validation of the agreed method.
Define success before development
A representative input and a manually checked result provide a starting point. We agree on how the workflow will be tested, what it should report when information is missing, and which steps still need a person's judgment.
What you receive
The deliverable is defined around your task: a scoped prototype or repeatable workflow, documented inputs and outputs, and the checks needed to assess its results.
The Model Lab demonstrates selected browser-based review interactions. Custom automation services are scoped separately; the lab does not perform a verified quantity takeoff or life-cycle assessment.