Browse our resources

Case Study: How Be A Reader was designed to rebuild the habit of deep reading

Reading is in decline, and no app is building for Indian literary traditions. Be A Reader is a deliberate reading and reflection tool for Hindi, English, Sanskrit, and regional literature. This case study documents the problem, the product decisions, and the technology behind it.

Why Did an AI Flag a Raksha Bandhan Story as Prohibited Content?

A Hindi literary passage about Raksha Bandhan was blocked by AI safety filters as "prohibited content." The culprit? Idiomatic expressions like 'खा बैठी' and culturally specific dynamics that moderation systems, trained primarily on English-language data, consistently misclassify. We break down why — and what needs to change.

Why Sairandhri? The Hidden Story Behind Our AI Film

Discover why Project Bhaskar chose Sairandhri (Draupadi's hidden identity during the Agyatwas) as the central theme of their AI film to explore female agency, identity under duress, and patriarchal resistance in Indian mythology, revealing how lesser-told stories offer powerful narratives for contemporary AI filmmaking.

Why is deep reading important in the age of AI?

As AI reshapes how we work and think, Project Bhaskar makes the case for deep reading as the foundation of critical thinking, creativity and empathy. Explore why we are building a reading space in Ajmer, the Bhaskar Reader app, and why India's regional literature holds the key to cultural sovereignty.

Case Study: How Magic Was Built to Make Paris Feel Smaller

Paris generates more cultural events every week than any one person can track — and no tool existed to make sense of it. Magic is the AI-powered assistant built for Paris residents that learns your tastes, monitors events across dozens of sources, and reminds you before you miss anything.

Case Study: How Lama Was Built to Close the Gap Between Business Data and Business Decisions

Business owners shouldn't need a developer to answer a data question. Lama is the AI-native platform that ingests your project data, analyses it automatically, and delivers rich dashboards with actionable recommendations — no SQL, no waiting weeks for a report. Here's how it was built, and why it works.

Case Study: How Globist Is Building the AI Workspace To Kill the Marketing Tab Spiral

Marketing teams don't have a tools shortage - they have a fragmentation crisis. Globist is the AI-powered workspace that lets GTM teams go from live market research to finished creative assets without switching platforms. One canvas. Persistent context. Real-time data. Here's how it was built and why it works.

Case Study: How Ask Sétu Was Built to Guide Indian Students Through Every Stage of Life in France

Case Study: How Paays built a one-of-a-kind travel lending experience

Paays built PreQ to solve a problem every budget-conscious traveller knows: the loan arrives too late, after the inspiration is gone. By surfacing a pre-approved borrowing amount before a user even picks a destination - and layering in exclusive partner deals on top - Paays reimagined travel financing as the first step in the journey, not the last.

Case Study: How Adapt for AI Was Built to Close the Applied AI Literacy Gap

Adapt for AI helps close the critical AI skills gap with a chat-and-slides micro-learning platform built for students, professionals, and entrepreneurs. Combining conversational AI, structured lessons, and persona-driven pathways, it turns AI urgency into practical capability, making applied AI literacy accessible, engaging, and relevant for today’s fast-changing workforce.

From Images to Health Insights: Engineering the Arogyagram AI Health Platform

Arogyagram is an AI-powered health platform designed to understand lifestyle behaviors and transform them into meaningful health insights. By combining computer vision, behavioral analytics, knowledge retrieval, and conversational AI, the system analyzes everyday activities, generates personalized recommendations, and helps users build healthier habits through intelligent feedback, real-time guidance, and engaging health tracking.

Project Bhaskar: A Creative Research Space for Indian Culture and AI

Project Bhaskar is a creative research space exploring the intersection of Indian culture and artificial intelligence. Through its Lab, Incubator, and Residency programs, the initiative brings together researchers, artists, and technologists to experiment, collaborate, and develop projects that connect traditional knowledge systems with emerging technologies in meaningful and innovative ways.

Rendering Home: An AI Film on Ajmer

Rendering Home is an AI-generated film that explores the historical and cultural evolution of Ajmer, the city where I was born and raised. Through generative visuals, the project reimagines different moments in the city’s past, from the formation of the Aravalli mountains to Ajmer’s modern identity. Combining personal memory, historical research, and emerging AI tools, the film experiments with how generative technology can be used to reinterpret place, history, and cultural storytelling.

The Research-Driven Innovation Process

Bhaskar’s research-driven studio process combines cultural inquiry, design exploration, and engineering experimentation to build responsible AI systems and digital knowledge platforms through iterative development cycles

Technology Across India & France

Bhaskar operates a global studio network across Paris, Bengaluru, Ajmer, and Grenoble, enabling collaborative research, design, and engineering through distributed teams and follow-the-sun innovation workflows.

Integrating Research, Design, and Engineering to Build Responsible AI

Bhaskar’s studio culture integrates research, design, and engineering into collaborative pods that build culturally aware AI systems and digital knowledge platforms through structured innovation rituals.

Why Collaboration Matters for the Future of AI and Cultural Knowledge

Complex challenges like multilingual AI, cultural preservation, and ethical technology cannot be solved in isolation. Collaboration between researchers, technologists, artists, and institutions is essential. Bhaskar is building an open ecosystem where interdisciplinary collaboration supports the development of inclusive and culturally informed AI systems.

Ethics and Cultural Intelligence in AI: Designing Technology That Understands Context

AI systems increasingly shape how knowledge is interpreted and shared. Ensuring ethical AI requires more than fairness metrics—it requires cultural intelligence. This article explores why context, language, and cultural understanding must become central to AI development, particularly in diverse societies like India.

Multimodal AI for Indian Knowledge Systems: Beyond Text-Based Intelligence

Much of India’s knowledge exists beyond text—in images, manuscripts, oral traditions, and artistic forms. Multimodal AI offers new ways to understand and connect these diverse sources of knowledge. Bhaskar explores how combining language, visual, and cultural data can support richer digital knowledge systems.

AI for the Common Good: Building Technology That Benefits Society

Artificial intelligence has the potential to transform society, but its benefits are not evenly distributed. AI for the Common Good focuses on developing technologies that expand access to knowledge, support cultural preservation, and improve digital inclusion. Bhaskar’s initiatives aim to align AI development with societal benefit.

How Technology Can Protect and Revive Cultural Heritage

Digital tools offer powerful ways to preserve cultural heritage—but preservation requires more than digitization. This article explores how technology, AI, and curated digital platforms can help document, interpret, and revive artistic traditions. Bhaskar’s initiatives focus on building digital systems that sustain cultural knowledge for future generations.

Human-Guided Framework for Building Better Indic Language AI

Developing reliable AI for Indian languages requires more than large datasets—it requires human oversight. UTKARSHINI is Bhaskar’s framework for testing, annotating, and reviewing scraped information with human expertise. This initiative aims to improve the quality, reliability, and cultural accuracy of Indic language datasets used in AI systems.

Responsible AI in India: Why Cultural Context Matters

Responsible AI must reflect the cultures and societies it serves. In India, ethical AI requires attention to linguistic diversity, cultural knowledge, and local contexts. This article explores why cultural intelligence is essential for AI development and how Bhaskar approaches responsible and inclusive technology design.

Building a Culture Stack: Using Technology to Revive India’s Artistic Heritage

Digital technology can do more than archive culture—it can revive it. This article introduces the concept of a “Culture Stack,” a digital infrastructure designed to preserve, document, and rediscover regional art traditions. Bhaskar’s initiatives aim to combine AI, archives, and digital platforms to support cultural knowledge systems.