One-size-fits-all education leaves the fastest learners bored and the slowest learners behind. Kalp Corporate builds the adaptive learning platforms, AI tutoring systems, and learner analytics that make personalised education possible at the scale of thousands — or millions.
We build learning technology that adapts to each student in real time, surfaces the right intervention at the right moment, and gives educators the intelligence to teach every learner more effectively.
Discuss Your EdTech Roadmap →Knowledge graph-driven curriculum engines that continuously assess each learner’s mastery level across concepts and dynamically sequence content, adjust difficulty, and recommend resources — delivering a genuinely personalised path for every learner.
SCORM and xAPI-compliant learning management systems built around your specific curriculum, assessment model, and user roles — for K-12, higher education, corporate L&D, and professional certification programmes.
Socratic dialogue tutors, Socratic question generation, automated hint systems, and NLP-powered short-answer grading — providing the patient, personalised support of a one-to-one tutor at the cost of software.
Real-time engagement monitoring, at-risk learner identification, cohort progress dashboards, and predictive churn models — giving educators and administrators the intelligence to intervene before learners disengage permanently.
Computerised adaptive testing using item response theory, automated question generation from content, NLP essay scoring, plagiarism detection, and secure proctoring infrastructure — measuring what learners actually know, not what they remembered last night.
Mastery-based progression, skill trees, badges, leaderboards, streaks, social learning features, and challenge missions — applying behavioural design principles that make learners want to return, compete, and complete.
EdTech platforms require pedagogy-informed design, accessibility compliance, and scalable infrastructure. Our delivery process brings together engineers, learning designers, and UX specialists from day one.
Curriculum model analysis, learner persona mapping, content architecture, knowledge graph design, assessment strategy, and platform architecture — aligning pedagogical goals with technical design before any development begins.
Content delivery infrastructure, assessment engine, user progress tracking, and foundational LMS functionality — with WCAG 2.1 AA accessibility compliance built into every component from the first sprint.
Adaptive engine integration, recommendation system training on real learner data, early warning model deployment, and instructor-facing analytics dashboards — each validated against learning outcome metrics.
Infrastructure scaling for exam-day peak loads, A/B testing of content and UX variants, model retraining on accumulated learner data, and ongoing product iteration driven by engagement and outcome analytics.
Learning platforms serve diverse users across varied devices, connectivity conditions, and ability levels. We engineer for all of them — not just the ideal case.
Knowledge graph data models, item response theory implementation, Bayesian knowledge tracing, and reinforcement learning path optimisation — the core intelligence that makes genuine personalisation possible at scale.
Responsive web, iOS, and Android apps with offline learning capability, adaptive video streaming, progressive loading for low-bandwidth environments, and SCORM/xAPI compliant content packaging.
Screen reader compatibility, full keyboard navigation, caption and transcript support for all video content, colour contrast compliance, cognitive load management, and accessible assessment design for diverse learner populations.
Transformer-based short-answer and essay scoring, automated rubric application, personalised written feedback generation, question generation from source content, and plagiarism detection — reducing grading load while improving feedback quality.
LTI 1.3 compliant tool provider and consumer implementations for Moodle, Canvas, Blackboard, Google Classroom, and Microsoft Teams for Education — extending existing platforms without requiring institutional migration.
Learning Record Store implementation, xAPI statement processing, cohort-level analytics, predictive retention modelling, and instructor dashboards that translate learner data into actionable teaching interventions.
Every technology chosen for learning outcome impact, accessibility support, and the ability to scale from a classroom pilot to millions of concurrent learners.
Book a free 60-minute EdTech consultation. We will review your curriculum model, learner audience, and platform requirements — and propose an architecture that delivers measurable learning outcomes, not just completions.
Combine AI decision intelligence with RPA execution to automate entire business workflows end-to-end — from intelligent document intake all the way through to approvals and notifications.
Embed intelligence directly into your custom software — predictive features, NLP interfaces, recommendation engines, and automation that compounds value over time.
AI is only as good as the data feeding it. We build the pipelines, warehouses, and governance frameworks your ML models depend on for reliable, consistent performance.