AI Across the Student Lifecycle
From admission to graduation, intelligent systems that work alongside admissions teams, exam controllers, and faculty mentors. Not instead of them.
Indian universities and EdTech platforms are scaling student volumes faster than their teams can grow. Admissions officers verify thousands of documents by hand. Exam controllers wait weeks for handwritten answer sheets to be evaluated. Placement teams have no clean view of which students are ready for industry. Faculty mentors are stretched thin across cohorts of hundreds.
QverLabs builds modular AI for these exact bottlenecks. Each module deploys independently, integrates with the systems you already run, and is designed so the human stays in the loop on every consequential decision.
Five Modules. One Student Journey.
Admission Document Verification
Automated verification of board results and identity documents through DigiLocker and APAAR, with anomaly flagging for officer review.
- DigiLocker + APAAR integration
- Field-level cross-check with anomaly detection
- Officer queue with audit trail
AI Chat Agent for Admissions
Conversational AI grounded in your admission SOPs, FAQs, and program knowledge. Handles inbound calls, web chat, and WhatsApp 24/7.
- SOP and FAQ-grounded responses
- Multi-channel: voice, web, WhatsApp
- Hot-handoff to human counsellors
Exam Paper Evaluation
AI evaluation of objective and subjective answer sheets against rubrics, with annotated feedback, evaluator override, and grievance flow.
- Rubric Designer with AI-assisted authoring
- Per-question scoring with criteria-level audit
- Annotated PDF for student grievance review
Skills Assessment
Diagnostic assessments that map where each student stands on hard and soft skills, feeding placement readiness and learning paths.
- Hard skills: code, quant, domain
- Soft skills: communication, problem-solving
- Per-student gap report for placement office
Mentor & Tutor (Learning Companion)
Personalised AI learning companion that supports each student's progression, bridging the mentor-to-student ratio gap.
- Concept-by-concept tutoring grounded in syllabus
- Progress tracking faculty can review
- Escalates to human mentor on signal
Built for Universities, K-12, and EdTech
Universities
Multi-program institutions with admissions, exam controllers, and placement cells. Modules cover the full lifecycle and integrate with your SIS.
K-12 Schools
School groups and chains with admissions automation, parental verification, formative assessments, and learning-companion deployments.
EdTech Platforms
Learning platforms layering personalised tutoring, automated assessment, and skills diagnostics on top of existing course catalogues.
Frequently Asked Questions
Universities, autonomous colleges, K-12 school groups, and EdTech platforms. Each module is designed to drop into existing student information systems, learning management systems, and admission portals, not replace them.
Modules are independent. Most institutions start with one or two priority modules (commonly Admission Document Verification or Exam Evaluation) and add the rest as ROI is proven. Each module has its own onboarding, pricing, and rollout timeline.
Every module is built privacy-first. Data is processed in India, role-based access is enforced for officers and faculty, audit logs are retained for compliance, and consent is captured for every processing purpose under the DPDP Act.
DigiLocker and APAAR for verification, common SIS platforms (Camu, Linways, Tata Edge, custom Oracle/PeopleSoft instances), LMS platforms (Moodle, Canvas, Blackboard), and standard SSO providers. Custom integrations are scoped during onboarding.
No. The platform is designed as a force multiplier. Officers approve verifications, evaluators review and override AI scores, and faculty mentors stay in the loop for student progression. AI handles the high-volume, repetitive work so people can focus on judgment calls.
Document Verification and Exam Evaluation MVPs ship in 2 to 4 weeks once integration credentials are in place. Larger deployments across multiple departments or campuses typically run a 6 to 8 week pilot before full rollout.
Ready to bring AI to your institution?
Walk through the modules with our team and pick the right starting point for your campus.
Schedule a call