Eklavya: one platform, four layers
Eklavya combines institutional workflows, data systems and Savvy AI into one unified platform for education institutions. It is not a collection of separate tools — every capability runs inside the same connected system, on the same institutional data.
Eklavya: application and workflow platform
Eklavya is where institutes run their daily work — admissions, academics, assessments, communication, operations. It holds the institutional data and workflows that Savvy AI works on: every AI capability shows up inside Eklavya as an everyday feature, not a separate tool. We build feature-by-feature with pilot institutions who use the system and shape what we solve next.
Savvy AI: embedded intelligence layer
Savvy AI is not a single model or a standalone product — it is the intelligence layer embedded within Eklavya. A system of AI models spanning reasoning, recommendation, retrieval, language and generation, Savvy AI enables automation, contextual assistance and AI-powered workflows across the platform.
AI capabilities within Eklavya today
Institute Website Builder
Institutional knowledge capability
Problem: Most institutes have no real web presence — getting a website means agencies, cost, and months.
What it does: Generates a complete marketing and storefront website for an institute — courses, batches, enquiry capture — ready to publish and easy to keep current.
Teacher Avatar
AI-powered workflows capability
Problem: Students' doubts pile up faster than any teacher can answer them individually.
What it does: A retrieval-grounded avatar answers student doubts from institute-approved material — in chat and as AI-generated video in the teacher's own avatar — and hands off anything it can't confidently resolve.
Teaching Recommendations
Reporting & insights capability
Problem: Test attempt data accumulates, but turning it into 'what should I do for this student' stays manual.
What it does: Analyzes student test-attempt data and recommends to teachers where to intervene — which students, which topics, what to assign next.
Architecture
These are four layers of one proprietary SaaS platform, not separate products. Each layer is built and operated by CMB Greens LLP.
Responsible AI & Security
Human-in-the-loop AI
AI-generated content and recommendations are reviewed by a person before they reach students.
Role-based access control
Staff, teachers and administrators only see the data and actions relevant to their role.
Tenant isolation
Each institution's data is kept separate from every other institution on the platform.
Secure authentication
Access to institution accounts is protected by secure, credentialed authentication.
Audit logs
A record of key actions taken on institution data, for accountability and troubleshooting.
Backups
Regular backups of institution data to protect against loss.
DPDP readiness
Alignment with India's Digital Personal Data Protection Act requirements.