About Mauryan AI
Research That Becomes Products.
Mauryan AI is an Indian artificial intelligence and data science company focused on turning advanced research into systems that solve real problems.
We believe powerful technology should not remain confined to research papers, laboratories or the world’s largest technology companies. It should reach the people and institutions that can benefit from it.
MIKU NCERT brings an entire academic support system into a student’s pocket.
Research-Driven
We study the underlying problem before choosing the technology.
India-First
Our systems are designed around Indian users, institutions, languages and operating realities.
Built to Scale
We design systems that can move from focused deployments to large populations and organizations.
Applied Intelligence
We care about what intelligence enables in the real world: stronger learning, better decisions and more capable institutions.
MIKU NCERT
Everything You Need to Master NCERT. In One Place.
MIKU is an AI-powered NCERT learning platform for students in Classes 8-12. It combines structured revision, guided homework, question practice, numerical concept application, searchable doubts and progress tracking in one curriculum-aligned system.
Instead of asking students to piece together tuition notes, reference books, solution guides, videos and practice material, MIKU organizes the academic support they need around the chapters they are already studying.
Study
Visual learning for understanding and revision.
HW
Guided homework solutions that build toward the answer.
Practice
Chapter-wise question banks, solutions and mistake predictions.
Concept Application
Numerical archetypes, variables, formulae, question signals and targeted practice.
Ask MIKU
Searchable theoretical doubts organized by attributes and sub-attributes.
Progress
Tracking across questions and study activity, with school integration potential.
Available in English and Hindi.
Study: Visual Learning
See the Concept Before You Memorize It.
Students often struggle because a textbook explanation is technically correct but difficult to picture. MIKU’s Study experience turns important NCERT concepts into visual learning material designed to make the underlying idea easier to understand and remember.
- Visual Concept Learning - Use illustrations, visual sequences and comic-style explanations to make abstract concepts more concrete.
- Chapter Revision - Review the most important concepts in a structured chapter flow instead of searching through scattered notes.
- Recall Reinforcement - Use visual memory, concise explanations and active review to strengthen retention.
- Built Around NCERT - The experience stays anchored to the curriculum students are actually studying in class.
Core learning flow
VisualizeUnderstandRecallApply
The goal is not to replace the textbook. It is to give students another way to finally understand what the textbook is trying to teach.
HW: Guided Homework Solutions
Stuck? Start With a Hint.
MIKU provides guided support for NCERT homework and exercise questions. Instead of immediately exposing the final answer, the student can move through progressively stronger hints that reveal the reasoning in stages.
- Hint 1 - A small push that helps the student identify where to begin.
- Hint 2 - Identify the relevant concept, relationship or information.
- Hint 3 - Structure the method and connect the necessary steps.
- Hint 4 - Bring the student close enough to finish the reasoning independently.
- Full Solution - Reveal the complete reasoning and final answer when the student needs it.
- Learn From the Method - The solution is written to explain how the answer is reached, not only what the answer is.
Less copying. More understanding.
Practice: Chapter Question Banks
Practice Until It Becomes Automatic.
Every supported chapter includes a structured question bank with complete solutions. Practice ranges from introductory questions that build the concept to advanced questions that prepare students for more demanding board and entrance-exam applications.
- Introductory to Advanced - Start with fundamental understanding and progressively increase the difficulty and depth of application.
- Concept and Numerical Practice - Train both theoretical understanding and the ability to solve quantitative problems.
- Complete Solutions - Review the reasoning behind each answer and use mistakes as part of the learning process.
- Entrance Exam Foundations - Push beyond basic textbook recall toward the stronger application skills required for competitive preparation.
- Preemptive Mistake Predictions - Surface likely mistakes, such as choosing the wrong formula, misreading a condition, confusing variables or making a common conceptual error.
- Chapter-Level Mastery - Keep practice organized around the exact chapter the student is currently learning or revising.
A good solution tells a student what worked. A better learning system also teaches the student what is likely to go wrong, so they can recognize and avoid the error the next time they face a similar question.
Concept Application (Cheat Sheet)
Every Numerical Has a Pattern. Learn to Recognize It.
Students often memorize formulas but still freeze when the wording of a question changes. MIKU breaks each chapter into the major numerical types a student is likely to face and teaches the signals that reveal which concept, variables and formulae should be used.
- Numerical Archetypes - Break a chapter into recurring categories of numerical problems instead of treating every question as completely new.
- Variables - Show the quantities involved, what each symbol represents and how the variables relate to one another.
- Formulae - Give students the relevant formulas and explain the conditions under which they apply.
- Words to Look For - Teach students to recognize phrases, units, conditions and question wording that signal a particular concept or method.
- Cheat-Sheet Style Guidance - Compress the recognition process into an easy reference students can revisit before practice or exams.
- Practice by Concept - After learning the pattern, solve additional questions that specifically reinforce that exact application.
The objective is to turn formula memorization into reusable problem-solving intuition.
Ask MIKU: Searchable Doubts
Search the Doubt. Understand Where It Fits.
Ask MIKU is a searchable doubt system organized around the structure of each chapter. Rather than presenting theory as an unstructured stream of questions and answers, doubts are broken into attributes and sub-attributes so students can see how individual ideas connect to the larger chapter.
- Searchable Doubts - Quickly find the theoretical question or concept a student is trying to understand.
- Attributes - Organize the major conceptual dimensions of the chapter into clear learning categories.
- Sub-Attributes - Break each major idea into the smaller questions and details students commonly need to revise.
- Chapter Flow - Help students understand where a doubt sits within the chapter instead of learning isolated facts.
- Theory Revision - Use the doubt library as a fast way to revisit definitions, relationships, mechanisms and conceptual explanations.
- Structured Knowledge - Turn question answering into a map of the chapter rather than a generic chatbot conversation.
Ask MIKU should feel less like asking the internet a random question and more like navigating a well-organized map of everything a student needs to understand in the chapter.
Progress: Learning Visibility
Learning Is Easier to Improve When You Can See It.
MIKU tracks activity across attempted questions and reviewed study sections so students can see what they have covered, where they have practiced and what still needs attention.
- Question Progress - Track attempted questions and practice activity across chapters.
- Study Progress - Record which learning and revision sections have been reviewed.
- Chapter Visibility - Give students a clearer picture of their activity across the curriculum.
- Return to Weak Areas - Use progress information to identify sections that need more practice or revision.
- School System Integration - Progress data can be integrated with school systems to give institutions better visibility into student learning activity.
- Institutional Insight - Help schools move beyond simple app adoption toward understanding how students are actually using academic support resources.
The long-term value is not only giving students more learning material. It is giving schools a clearer view of engagement, practice and academic support outside the classroom.
English and Hindi
Same Curriculum. Same Depth. Your Language.
A student’s ability to understand science or mathematics should not depend on whether they are most comfortable studying in English.
MIKU’s learning materials are available in English and Hindi, allowing students to learn difficult concepts in the language that makes them easiest to understand.
English Hindi
Switch languages without switching platforms.
Study. Homework. Practice. Concept Application. Searchable doubts. Structured academic support. Designed to remain accessible across English and Hindi.
CBSE Boards, Catch-Up and Entrance Foundations
Built Around What Students Are Actually Studying.
MIKU follows the NCERT curriculum students use in school, making it useful throughout the academic year, not just before an exam.
- Keep Up With Class - Revisit concepts that were not clear the first time and reinforce classroom learning.
- Catch Up - Work through chapters independently when a student has fallen behind or needs more support at home.
- Prepare for CBSE Boards - Revise concepts, solve NCERT material and repeatedly apply knowledge before examinations.
- Build Entrance Foundations - Progress from concept building into more advanced numerical and application-based practice.
Learn for tomorrow’s exam. Understand for what comes after it.
Why MIKU?
One Student. One Phone. An Entire Academic Support System.
Traditionally, getting this level of support could mean combining tuition classes, reference books, solved NCERT guides, revision notes, question banks, YouTube explanations and practice books.
MIKU puts them together and organizes them around the curriculum the student is already studying.
We could give you another three paragraphs of AI buzzwords. Or you could just try it.
Ek baar try toh karke dekho.
For Schools
Give Every Student More Support Without Adding Another Teacher.
MIKU gives schools a structured digital academic support layer students can access inside and outside the classroom.
For Students
Study, guided homework, practice, concept application and theory revision in one curriculum-aligned platform.
For Teachers
A supplementary system that reinforces classroom instruction and gives students another route to understanding difficult material.
For Schools
A modern academic offering deployable across classes and campuses without replacing the school’s existing teaching structure.
Better Visibility
Progress tracking can connect learning activity back to school systems, giving institutions clearer insight into what students are reviewing and practicing.
MIKU is available for school partnerships and institutional deployments.
Industry Partnerships
Your Industry Has the Problem. Our Research Lab Builds the Intelligence.
Mauryan AI works with established and legacy organizations to apply modern machine learning, data science and AI research to problems that conventional software cannot solve well.
Our partnerships begin with the problem, not with a predetermined model or product. We study the organization’s workflows, data, constraints and economics, then determine where intelligent systems can create a measurable advantage.
We already work across sectors including healthcare and governance, bringing research-led engineering into environments where reliability, usability and real-world deployment matter as much as model performance.
Healthcare
Intelligent digital health systems, clinical and operational workflows, structured summaries, analytics, decision-support layers and scalable patient-facing technology.
Governance and Public Systems
Machine learning and data science for institutional visibility, fraud and anomaly detection, entity resolution, forecasting, resource allocation and operational decision support.
Legacy Corporations
Modernize data-heavy workflows without requiring an organization to rebuild its entire technology stack.
Custom Research and Applied AI
Investigate difficult problems, prototype approaches, evaluate feasibility and engineer purpose-built systems when off-the-shelf tools are not enough.
How we work
Problem discoveryData and feasibility assessmentResearch and modelingPrototypeDeploymentMeasurement and iteration
Technology and Research
Research Is Useful When It Survives Contact With the Real World.
Our research lab operates at the intersection of machine learning research and deployable systems. We are interested in architectures, models and methods, but we judge them by whether they can improve a real product, workflow or decision.
The goal isn’t to make AI sound impressive. It’s to make intelligence useful.
- Natural Language and Knowledge Systems - Domain-aware systems for organizing, retrieving and reasoning over complex information.
- Entity Resolution and Graph Intelligence - Connect fragmented records and relationships across noisy datasets for fraud, compliance and institutional intelligence.
- Predictive Modeling - Forecast risk, demand, outcomes and operational events from structured and unstructured data.
- Multilingual AI - Build systems that work across Indian language and communication contexts.
- Efficient Language Models - Explore smaller and more efficient model architectures for lower-cost, lower-latency systems.
- Visual and Multimodal Intelligence - Combine text, images and other modalities where a problem requires more than language alone.
- Anomaly and Fraud Detection - Identify unusual patterns, networks and behaviors that rules-based systems can miss.
- Applied Data Science - Turn organizational data into useful signals for decisions, prioritization and resource allocation.
Beyond Education
MIKU Is the Beginning, Not the Boundary.
Mauryan AI’s broader mission is to build intelligent systems for high-impact Indian problems.
The same capabilities behind our education work are already being applied with partners in healthcare, governance and other established industries.
Our long-term work spans the intersection of AI research, applied machine learning, data science and India-scale product development.
We do not build technology for novelty. We build systems intended to become useful infrastructure for the people and institutions using them.
Ready to Build Something Useful?
For Students and Families
Explore MIKU NCERT and bring structured learning, revision, homework support and practice into one place.
For Schools and Institutions
Bring MIKU to your students through a school partnership or institutional deployment.
For Companies and Public Institutions
Bring us a difficult data, machine learning or intelligence problem. Our research lab can assess it, prototype the right approach and build toward deployment.
Built for India. Built to scale.