Building The Explainability Layer For How Humans And AI Work Together
Our Story
AISquare began with a simple question: How can AI do more than automate tasks? How can it amplify human expertise?
Founded in 2023, we set out to make learning more engaging and impactful. Starting with Math Premier League (MPL), an ELO-based skill assessment and challenge game, we quickly uncovered the potential of AI-driven adaptive learning to keep people motivated and growing.
Building on these early successes, we expanded beyond math quizzes to help creators, educators, and teams transform their expertise into living, interactive experiences. This insight led to the creation of AI Studios: branded, multimodal hubs where expertise can be captured, structured, and shared as AI Experiences.
Today, AISquare is pioneering a new category of AI Experience Management, where human expertise meets adaptive intelligence. With secure vaults and enterprise-ready controls, our Studios are reshaping how expertise is distributed, scaled, and monetized in the Age of AI.
Our Vision
We envision a world where AI systems are as understandable as they are powerful.
A world where expertise can scale through AI without becoming opaque, unaccountable, or detached from human intent.
As AI becomes embedded in how people learn, decide, and work together, we believe explanation and reasoning must be built into the foundation of every system.
Our Mission
Our mission is to make explainability a first-class layer of AI systems.
We empower creators and teams to turn their content into reusable AI experiences that show their reasoning, stay grounded in evidence, and remain guided by human oversight.
By doing so, we enable people and AI agents to collaborate with trust, clarity, and shared understanding as work scales.
AISquare at a Glance
People Behind AISquare
Meet the Talented, Purpose-Driven Community That Makes AISquare Possible
Gunjan Sinha
Co-Founder and Chairman
Jatin Saini
Co-Founder and Director of Technology
Scott Hollingshead
Chief Growth Officer
Katrin Eggenberger
Chief Strategic Advisor
Anindo Banerjea
Technical Advisor
Norbert Kiesel
Technical Advisor
Dheeraj Prasad
GTM Advisor
Aditya Jaiswal
Director of Product Management
Jaikrit Sinha
Director of Business Development
Anmol Majithia
Director of AI
Shellye Archambeau
Advisor
Dr. Rajendra Pratap Gupta
Advisor
Prof. Ramesh Raskar
Advisor
Jeson Godilo
Sr. Front-End Developer
Christopher Manuel
Sr. Front-End Developer
Khushal Metar
Sr. UI/UX Designer
Akshit Sanghani
Front-End Developer
Surjoyday Talukdar
Front-End Developer
Aditya Saini
Full Stack Developer
Omkar Shendge
Community Manager
Zahwah Jameel
DevRel Associate
Vaibhav Bajaj
FullStack Developer Intern
Rabia Tahirr
QA Engineer
Pranav Kapoor
Community Associate
Anvay Arora
Community Associate
Rohan Sinha
Community Associate
Message from the Founders
We've entered an exciting new era of AI. Two decades ago, e-commerce transformed small sellers into online brands by harnessing the power of the internet. Companies like Shopify and Wix empowered millions of entrepreneurs to reach audiences worldwide through online stores and websites. Today, we're on the cusp of a similar revolution - this time bringing AI Studios to the creator economy. Just as online storefronts democratized commerce, AISquare will empower creators and entrepreneurs to democratize and monetize their expertise by rapidly publishing their own AI Studio. Our AI Studio enables anyone - from professors to professionals to entrepreneurs - to share their expertise, engage learners interactively, and build thriving communities. This is the future of how we teach, learn, and grow - with AI amplifying our capabilities every step of the way.
Gunjan Sinha
Co-Founder & Chairman
At AISquare, we've built the platform from the ground up with a simple but bold principle: AI should not just assist learning - it should engineer it. Our core innovation, QLLM (Question generation LLM), isn't just another LLM wrapper. It's an applied research system purpose-built to generate domain-specific, ELO-calibrated questions. Unlike generic LLMs, QLLM leverages Retrieval-Augmented Generation (RAG), user skill history, and creator-ingested knowledge capsules to generate tailored quizzes, explanations, and learning paths. This isn't just about using AI to teach better. It's about redefining what a learning system can be when it's built natively with AI as the core infrastructure, not just an add-on.
Jatin Saini
Co-Founder & Director of Technology
Our Values
Responsible Ownership
We believe in proactive transparency and accountability. We treat every project as if it's our own and keep the team and stakeholders informed and engaged, empowering everyone to make informed decisions and drive meaningful results.
Driven by Simplicity
Simplicity is at the heart of our approach. We cut through complexity to deliver clear, focused solutions that make an impact. Every process and product we create is designed to be intuitive and effective for our customers and teams alike.
Inclusive Innovation
We embrace diversity and foster a culture where all voices contribute to innovation. Supporting growth, learning from varied perspectives, and building bridges across different backgrounds and experiences drive our collective success.
Purposeful & Results-Oriented
Speed and focus drive us forward. We act with urgency and clear goals, ensuring that each initiative, big or small, creates measurable impact. By aligning results with purpose, we move with intention and deliver value that matters.
More About AISquare
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