Quality with Precision AI
Borde Lab is a sample-based AI inspection system designed for QA, R&D, and validation—delivering precise, repeatable quality measurements.
Borde Lab is a precision AI inspection system built for controlled environments where accuracy and repeatability are critical. It enables quality teams and R&D groups to analyze product samples in detail—providing object-level defect detection, standardized grading, and digital records. Borde Lab establishes the ground truth for quality, ensuring consistency across suppliers, batches, and production systems.
High-Precision Sample Analysis
Inspect every item within a sample with AI-driven object detection, delivering far greater accuracy and consistency than manual inspection.
Standardized Quality Measurement
Eliminate variability across operators and facilities by using consistent, repeatable AI-based grading and defect classification.
Ground-Truth Data for Production
Generate reliable datasets to validate suppliers, benchmark quality, and calibrate production systems like Borde Inline.
Faster QA & Decision Making
Reduce analysis time from hours to seconds, enabling faster quality assessments and more confident production decisions.
Built for QA, R&D, and Validation Workflows
From Sample Inspection to Production Intelligence
01
Sample-Based Inspection
Analyze 500g to 10kg samples with full object-level inspection, capturing defects, foreign material, and quality attributes across the entire sample.
02
Detailed Defect Classification
Automatically classify defects by type, size, and severity, providing deeper insights than traditional lab inspection methods.
03
Digital QA Records
Generate structured, exportable inspection reports for every sample, enabling traceability, auditing, and data-driven decision making.
04
Model Training & Calibration
Use lab-generated data to train and refine AI models, ensuring alignment between lab standards and production systems like Borde Inline.
Success Stories
Find out how leading tree nut processing plants modernize inspection, eliminating manual checks per nut and relying on AI to inspect a nearly 100% sample.
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