Technical labeling and dataset curation for proprietary engineering data. We build the foundations for your production-ready models.
Generic data companies don't understand engineering. We do.
Generic labelers miss the nuance in engineering drawings. Our experts don't.
Your data stays secure. We work on your infrastructure or our hardened environment.
Large scale technical datasets require specialized management and QC.
Multi-layer validation ensures your models are trained on ground-truth data.
Our annotation infrastructure is built for large-scale, high-precision technical data.
99.98% Average uptime across deployments.
Expert annotation of drawings, CAD, and docs.
Remove duplicates and errors from legacy records.
Build balanced, high-quality training sets.
Data never trains public models or leaves your control.
Building the ground-truth foundation for your proprietary AI models
Designing precise taxonomies and technical guidelines. We align your labeling schema with the specific physics and logic of your engineering domain.
High-precision annotation of technical assets—from DWG drawings to sensor telemetry—performed by specialists who speak your industry language.
Multi-stage quality control, with gold-standard checks and reviewer consensus, before data reaches a production model.