AI-native assessment & credentialing
Know who's truly job-ready.
AI-powered interviews that produce structured, defensible evidence of mastery.
VeraLearning uses adaptive AI interviews to reveal how people think and solve problems in authentic workplace scenarios. Beyond test scores, you get clear insight into judgment, decision-making, and applied skills. These signals are what separate true job readiness from test-taking ability.
Our Learning Context Model™ (LCM) provides AI with the structure it needs to recognize and evaluate mastery. LCM aligns with your existing skill maps and curricula, and it ensures that evaluation stays valid, consistent, and fully explainable.
Who it's for
Built for anyone who needs to know with confidence that someone can perform.
VeraLearning provides a shared, rigorous way to understand how learners think and perform. It helps educators and workforce teams measure applied reasoning, communicate readiness clearly, and give decision-makers transparent, defensible evidence.
Educators & Training Teams
Assess reasoning and problem-solving, not memorization. Build mastery-based programs that produce work-ready graduates.
Learning & Development Teams
Measure applied skill in real workplace scenarios and accelerate employee development with targeted feedback.
Employers & Workforce Initiatives
Identify people who can actually do the work. VeraLearning reveals judgment, decision-making, and job-ready thinking.
What teams get
- Transparent mastery snapshots
Every adaptive interview produces a structured reasoning trail that shows how a learner approached the task, not just what they recalled. - Signals mapped to your needs
LCM™ ensures every question, probe, and score ties directly to the competencies and indicators you already use, keeping evaluation consistent and explainable. - Evidence you can hand off with confidence
Share concise reports with partner schools, employers, or certifying bodies without interpretation gaps or manual rewriting.
How VeraLearning works
From course materials to competency-based evidence.
VeraLearning doesn't just generate questions. It aligns with your course materials and skill maps, clarifies competencies, orchestrates adaptive interviews, and produces transparent evidence of what learners can actually do.
Step 1
Map your learning context
VeraLearning ingests course materials, job requirements, and skill frameworks to expose the cognitive demands and expectations that matter.
Step 2
Run AI-powered interviews
VeraLearning conducts real-time interviews that seek evidence of mastery. Each turn of the conversation adjusts to the learner and stays aligned with the competencies and expectations that matter to you.
Step 3
Issue verifiable credentials
VeraLearning produces defensible decisions, evidence trails, and sharable mastery reports so every stakeholder understands why it’s a yes.
Example · CNC Safety Assessment
How the learner reasoned through CNC operation tasks
The learner understands the purpose behind safety steps and follows the primary sequence well. Their gaps occur in consistency — occasional missed confirmations, incomplete workspace checks, and rushed verification. With oversight or a checklist, they can operate safely, but they’re not yet ready to run machines independently.
- Competency level
- Ready with support
- Evidence coverage
- 4 of 5 critical themes
- Interview length
- 16 minutes
- Export
- Shareable rubric report →
VeraLearning’s LCM™-based engine structures the interview, scores reasoning patterns, and outputs a defensible decision trail you can share directly with faculty and employers.
Issued badge · CNC Safety Foundations
Learners who meet the Assisted Readiness bar receive a shareable digital credential that makes verification effortless for employers.