We deliver production-grade training data for industrial AI — combining AI-assisted pre-annotation, rigorous human refinement, and a Taiwan-anchored trust layer built for global compliance.
From defect detection to dimensional measurement — we transform raw visual data into high-fidelity labels that power the next generation of industrial vision systems.
Pixel-accurate labeling for surface defects, cracks, voids, scratches, and contamination across PCB, semiconductor, and manufacturing inspection pipelines.
Precise polygon and mask annotations for complex, overlapping objects — enabling models to distinguish individual components on dense assembly lines.
High-throughput object detection labeling with multi-class taxonomies, optimized for real-time quality inspection and sorting systems.
Landmark and dimensional annotation for alignment verification, assembly validation, and robotic pick-and-place calibration.
Volumetric annotation for LiDAR and depth sensor data used in warehouse automation, robotic navigation, and industrial environment mapping.
Frame-by-frame object tracking and event annotation for motion analysis, production line monitoring, and predictive maintenance vision systems.
Every dataset passes through our AI + Human iterative pipeline — each cycle sharpening accuracy, consistency, and domain alignment.
We analyze your raw data, define label schemas, and establish acceptance criteria.
Foundation models (SAM2, YOLO, GroundingDINO) generate initial labels at machine speed.
Trained annotators correct, refine, and validate every label against your quality spec.
Automated consistency checks, cross-validation, and export in your required format.
We serve clients across the industrial spectrum — from high-mix electronics to heavy manufacturing — where mislabeled data means real production loss.
Solder joint inspection, component placement, bridge / tombstone detection
Wafer defect mapping, die-level classification, advanced packaging inspection
Paint finish, weld seam, and assembly verification across production lines
Surface roughness annotation, tool wear detection, dimensional compliance
Packaging integrity, vial inspection, label verification for regulated lines
Corrosion mapping, crack detection on turbines, panels, and structural assets
Your data enters through a Taiwan-based entity with GCP infrastructure in compliant regions. We serve as the legal and operational firewall between your IP and execution teams — meeting EU, US, JP, and KR data residency expectations.
14 AI digital workers orchestrate every project — from intake triage to quality scoring. Foundation models pre-annotate at machine speed; humans refine. The result: 3× throughput at half the error rate of manual-only shops.
Every annotation cycle feeds back into model fine-tuning and annotator calibration. Accuracy doesn't plateau — it compounds. Your tenth batch is measurably better than your first.
Start with a free pilot project. We'll annotate a sample of your data so you can benchmark our quality before committing.
contact@recursialab.ai