Automotive & Diesel Skills Checkoffs
AI video assessment for automotive and heavy equipment programs—brake, electrical, and drivability tasks with timestamped feedback
AI video assessment for automotive and heavy equipment programs—brake, electrical, and drivability tasks with timestamped feedback
Labs move fast. TradeTasks helps automotive programs document diagnostics, service procedures, and safety protocols using your rubrics—map tasks to NCCER performance criteria and industry standards you already teach, and encode OSHA-aligned lift, HV, fluid handling, and shop safety as scored criteria for scalable grading and remediation.
Balance enrollment growth with fair, documented assessment across lifts, bays, and course sections.
Spend coaching time on complex diagnostics while AI scores structured procedural checklists.
Receive detailed feedback on each criterion before re-testing expensive lab procedures.
Align capstone performances to entry-level task lists used by service departments.
Embed OSHA-aligned lift, HV, fluid handling, and PPE steps in rubrics alongside technical criteria—defensible safety documentation on every checkoff.
Demonstrate measurable skill outcomes for grants, apprenticeships, and OEM partnerships.
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.