
Embedding AI into existing LMS, SIS, ERP, content platform, and data workflows without rebuilding systems from scratch.
Validating AI use cases quickly with working prototypes, so institutions can make informed decisions before scaling.
Helping education leaders define where AI fits, what data is required, and how governance, security, and scale are handled.
Designing AI agents that collaborate across workflows such as content generation, student support, analytics, and administration.
Building AI experiences that work seamlessly across Arabic and English, with localization built into the system design.
Designing AI systems with security, data governance, and long-term scalability in mind, especially for medium-sized, multi-stakeholder education institutions.

Using AI to take care of repetitive, system-driven tasks so that educators can focus on teaching, mentoring, and academic judgment.
Applying AI where it can replace slow, error-prone workflows across academic and administrative functions.
Supporting institutions in delivering differentiated learning experiences without adding complexity for teachers or administrator.
Ensuring learning platforms, support services, and academic workflows feel connected, responsive, and consistent for students.
System that adjust learning paths, content difficulty, and pacing based on learner behavior and performance without increasing teacher workload.
Analytics frameworks that help institutions identify learning gaps, engagement issues, and at-risk students early, enabling timely academic support.
Content-aware AI assistants that support students with questions, explanations, and guidance while aligning with curriculum and institutional rules.
An AI-driven platform that maps learner skills, interests, and academic progress to education and career pathways.
Interactive, multilingual digital textbooks enhanced with AI for content navigation, learning support, and engagement tracking.
Embedding AI capabilities directly into existing LMS platforms to improve learning delivery, assessment, insights, and system usability.

Library digitization at the National Institute for Newman Studies transformed 250,000+ historical documents into intelligent digital collections. Using OCR for text recognition, AI for metadata tagging, and Elasticsearch for fast discovery, the platform enables secure, blockchain-backed access and global collaboration—creating a scalable, future-ready digital research ecosystem.

Krunal Shah is the Chief Technology Officer at Third Rock Techkno, where he leads engineering strategy and oversees the design and delivery of scalable, secure, and future-ready digital systems. With deep expertise in system architecture, AI integration, and product engineering, Krunal works closely with leadership teams to translate complex ideas into reliable, production-ready solutions.