Automated model validation & data quality

Would you trust AI trained on your models today?

Automatically verify models against standards to deliver with confidence, report accurately, and scale QA.

Model validation dashboard showing pass and fail checks with trend graphs

Validation check results showing pass and fail scores

Massive models, fully verified

AEC data is often inconsistent, creating delivery risk and breaking reporting pipelines. Speckle fixes this by enabling automated validation across any design tool or format.

Every change gets checked
Validation runs the instant a model arrives from a file import, design tool plugin or CDX sync. Keep projects aligned with information requirements at every stage.

Set or import standards
Define rule sets for parameters, naming, classifications, codes and apply them consistently across every project. Import EIR to align with industry standards out of the box.

Catch and discuss errors in 3D
Failed checks become element-level issues you can see in 3D. Assign fixes, track progress, and resolve before they impact the outcome.

AI Ready

Foundation for enterprise intelligence

Connect verified data to your enterprise data lake to power analytics and AI with clean, structured inputs.

Proof over promises

Speckle is key for getting messy and complicated BIM data into our data lake in a way we can use.

Murat Melek

Senior Director

The data stays accurate automatically, fits seamlessly into our workflow, and keeps insights up to date without adding any extra work for our BIM teams.