Vantle
Vantle is an AI-powered teaching platform that makes student understanding visible by adapting existing courses into weekly assessments where students solve problems, explain concepts to an AI, and critique flawed work. The platform analyzes written responses to generate weekly reports showing where understanding is solid, where it is breaking, and the root cause of breakdowns. Instructors retain full grading control, with Vantle never computing grades.
- Education Technology
- Artificial Intelligence
- Software Only
- Data & Analytics
- AI Agents
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional education measures student work rather than actual understanding, leaving comprehension hidden in the mind and invisible to instructors. With AI tools now capable of producing correct answers without genuine understanding, the gap between work and knowledge has widened, making it harder for educators to identify when students truly grasp concepts or merely reproduce correct outputs.
Solution
Vantle runs inside existing courses and makes understanding visible by adapting coursework into a structured format that reveals student comprehension. Instructors upload their syllabus, and Vantle proposes a week-by-week breakdown and a concept map showing how each topic builds on others, both of which instructors can edit. Throughout the term, students complete short assessments built from course material that require them to work problems independently, explain concepts to an AI that misunderstands, and judge flawed work. Vantle analyzes every student's written responses and provides weekly reports showing where understanding is solid, where it is breaking, and the root cause of breakdowns, tracking whether instructor interventions successfully address gaps.
Target Audience
Primary customers are university and college instructors teaching concept-heavy courses who need deeper insight into student comprehension than traditional assignments and exams provide.
Features
- Syllabus upload with automatic generation of weekly course structures and concept maps that instructors can edit
- Multi-part assessments requiring students to solve problems, teach concepts to an intentionally flawed AI, and critique misleading answers
- Weekly class-level analytics showing aggregated understanding, pinpointing which concepts are failing and tracing failures to earlier root causes
- Individual student dashboards showing each learner's written responses alongside their understanding profile
- Instructor review queue for grading with one-click override capability and tracking of instructor agreement rates
- System that never computes grades, preserving full instructor control over assessment outcomes