A RAG implementation rarely fails because of the language model. It fails because the knowledge behind it isn’t ready for production. Outdated documents. Poor chunking strategies. Missing metadata. Weak retrieval logic. No access controls. No monitoring after deployment. Individually these look…
Visual Inspection Systems
Visual inspection AI software for automated quality control at machine speed and human accuracy
We build machine vision development services that run on production lines, in clinical environments, and across logistics operations, detecting defects, verifying assembly, and enforcing quality standards without manual review. Designed for the latency and accuracy requirements of live industrial environments.
- Defect detection using image segmentation services: surface, dimensional, and structural defects at 99.5%+ accuracy, reducing manual inspection costs by 60%
- Assembly verification: confirm part placement, orientation, torque, and completeness at each production stage
- Medical device quality assurance: FDA 21 CFR Part 11-compliant visual inspection for manufacturing and packaging
- Pharmaceutical compliance inspection: packaging integrity, label verification, and contamination detection at line speed
- Agricultural and food quality grading: automated visual classification by size, color, defect, and compliance











