Welding Performance Assessment at Scale
Vision AI checkoffs for weld schools and fabrication programs—evaluate technique, positions, and safety with repeatable rubrics
Vision AI checkoffs for weld schools and fabrication programs—evaluate technique, positions, and safety with repeatable rubrics
Capture arc starts, travel speed, and joint completion on video. Align rubrics to NCCER welding performance objectives; encode OSHA-aligned PPE, ventilation, fire watch, and hot-work steps as scored criteria—so every student receives consistent feedback whether the lab runs 8 or 80 welders.
Monitor competency trends by process, position, and section to guide equipment investments and curriculum updates.
Reduce subjective variance between instructors while preserving final approval on weld quality and code interpretation.
Encode OSHA-aligned ventilation, PPE, and hot-work controls into rubrics alongside NCCER skill criteria—documentation that reinforces safe shop habits.
See exactly which criteria need work before the next plate—ideal for high-demand welding programs.
Share performance evidence aligned to common weld tests and workplace expectations.
Report measurable skill gains with timestamped artifacts suitable for grant and WIOA reporting.
Automate hands-on skills assessment with timestamped evidence, competency mapping, and reporting—aligned to program standards and employer expectations.
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Automated trades competency assessment
Per student per year
No credit card required
Standalone module
Join technical colleges and trades schools using AI-assisted skills checkoffs for consistent grading, audit-ready records, and stronger employer outcomes.
TradeTasks is built for trades schools, technical colleges, and apprenticeship programs that need scalable, objective skills verification in the shop and lab. It automates competency checkoffs and documentation so faculty spend less time grading and more time teaching—while producing audit-ready evidence mapped to NCCER-style performance criteria, OSHA-aligned safety documentation, and employer partners.
Programs define rubrics that mirror NCCER performance objectives and module outcomes, so each video checkoff documents industry-standard competencies. Safety-critical steps—PPE, hazard controls, lockout/tagout, housekeeping, and shop rules—are explicit criteria aligned with OSHA training and documentation expectations, with timestamped evidence for every attempt. Instructors retain final sign-off, so professional judgment stays central.
Educators define the rubric and steps for each skill. Learners record their performance on video and upload it. AI analyzes the video against your rubric, scores performance, and generates detailed feedback with comments and timestamps for each criterion—aligned to how you already teach hands-on skills.
The AI applies the same criteria every time, reducing inconsistency between raters and grader fatigue. Feedback is timestamped and tied to your rubrics, creating a traceable record for remediation, program improvement, and reporting.
Yes. Expert-in-the-loop is built in: after AI analysis, the instructor reviews results and can approve, edit, or add comments. Final sign-off stays with your faculty so professional judgment remains central.
Vision AI Skills Checkoffs complements your LMS and shop management workflows. You use it for structured, AI-assisted skills checkoffs with automated grading and timestamped evidence—without replacing your core systems.
Every checkoff produces timestamped, rubric-aligned feedback and grades tied to your criteria—including NCCER-mapped competencies and OSHA-relevant safety steps. That creates a clear digital record for remediation, program improvement, and demonstration of outcomes to employers, sponsors, and oversight bodies.