Making AI useful, trusted, and income generating for rural India
A community-led approach that makes artificial intelligence accessible, usable, and beneficial to rural and small-town India.
Journey
How it started?
To date, JanAI has trained over 75,000 individuals across India.
These trainings were intentionally designed to:
- Remove fear around AI
- Use local languages and voice-first tools
- Focus on practical applications, not abstract theory
- Build confidence rather than technical dependency
Strategic Partnerships
Partnerships with IIIT Dharwad, MGRDPR University, Visvesvaraya Technological University, and others. They created
- Structured pathways from training to certification
- Opportunities for students to become co-creators and field practitioners
- A bridge between academic research and community deployment
Building a Collaborative Ecosystem
Expansion built on the principle of Society, Government and Markets moving together
- MagicBus, Mahila Housing Trust, Digital Green, Shikshana, Indivillage, Reach To Teach
- Karnataka Digital Economy Mission
- EkStep Foundation, LinkedIn, Bharat Digital Infrastructure Association, Neutrinos
Community Engagement
Institutions such as Chitkara University and regional centres hosted conclaves.
The events focussed on:
- Youth engagement
- Women’s confidence with AI
- Local language learning
- Certification and recognition
- Community dialogue around opportunity and access
JanAI at India AI Summit
Summit partners including UN Women, MagicBus, Dhwani, OneTAC, Hebbale, Neutrinos, EkStep, and others host conversations inside the Pavilion that focus on use cases, collaboration, and shared learning, not product showcases.
Across India, youth, women, farmers, and small businesses continue to be excluded from the benefits of AI.
Most AI tools assume English and high digital literacy
Rural users lack access, not ability
MSMEs still hire offline through word-of-mouth
Youth cannot discover local jobs
JAN AI is building a rural-first AI ecosystem
Built in collaboration with communities, institutions,
innovators, and government partners, we’re addressing systemic barriers with local-language, trust-first, grassroots tools.
Voice-first tools
Local language flows
Verified identities
District-led orchestration
Hyperlocal job matching
Trusted community intermediaries
Designed around real lives, real livelihoods, and real transitions
WOMEN
Challenges
- Safety + mobility barriers
- Time-bound responsibilities
- Lack of access to training
- Low digital confidence
Solutions
- Hyperlocal job discovery
- Home-based digital work
- Voice-led learning modules
Outcome
Income generation without unsafe or long-distance travel
YOUTH
Challenges
- Confusion between AI/ML/Data Entry
- Preference for local jobs
- No verified digital identity
- Limited exposure to AI pathways
Solutions
- Voice-based profile creation
- Verified DigiPass interview scheduling
- Hyperlocal job matching
- AI learning pathways (Basic → Non-Tech → Tech → Advanced)
Outcome
Faster hiring, better matching, reduced migration, increased confidence.
FARMERS
Challenges
- Climate variability
- Fragmented market signals
- Lack of predictive insights
- Middlemen dependencies
Solutions
- Voice-based advisory
- Weather + pest predictions
- Market demand signals
- Crop planning intelligence
Outcome
More predictability → less risk → stable income
SMALL BUSINESSES
Challenges
- Informal hiring
- Low trust
- No structured validation
- High turnover
- Time-intensive hiring processes
Solutions
- Speak job descriptions into voice bot
- Instant shortlisting
- DigiPass verification
- Hyperlocal matching
Outcome
Faster, lower-cost hiring with lower attrition
Challenges
- Safety + mobility barriers
- Time-bound responsibilities
- Lack of access to training
- Low digital confidence
Solutions
- Hyperlocal job discovery
- Home-based digital work
- Voice-led learning modules
Outcome
Income generation without unsafe or long-distance travel
Challenges
- Confusion between AI/ML/Data Entry
- Preference for local jobs
- No verified digital identity
- Limited exposure to AI pathways
Solutions
- Voice-based profile creation
- Verified DigiPass interview scheduling
- Hyperlocal job matching
- AI learning pathways (Basic → Non-Tech → Tech → Advanced)
Outcome
Faster hiring, better matching, reduced migration, increased confidence.
Challenges
- Climate variability
- Fragmented market signals
- Lack of predictive insights
- Middlemen dependencies
Solutions
- Voice-based advisory
- Weather + pest predictions
- Market demand signals
- Crop planning intelligence
Outcome
More predictability → less risk → stable income
Challenges
- Informal hiring
- Low trust
- No structured validation
- High turnover
- Time-intensive hiring processes
Solutions
- Speak job descriptions into voice bot
- Instant shortlisting
- DigiPass verification
- Hyperlocal matching
Outcome
Faster, lower-cost hiring with lower attrition
The Charkha decentralized production and restored agency during India’s industrial shift.
Jan AI does the same for artificial intelligence
by decentralizing access, identity, opportunity, knowledge, and ownership.
ACCESS
AI must reach people where they are through voice, vernacular, and community spaces.
IDENTITY
Profiles must be verified, portable, and controlled by users (DigiPass, voice bot, ITI validation).
OPPORTUNITY
Hyperlocal jobs, AI-powered matching, and district coordination make hiring transparent and fast.
KNOWLEDGE
AI literacy delivered in local languages ensures people can use tools confidently.
OWNERSHIP
Communities generate data, innovate solutions, and shape how AI grows — not the other way around.
AI must reach people
where they are through
voice, vernacular, and
community spaces.
Profiles must be verified, portable, and controlled by users (DigiPass, voice bot, ITI validation).
Hyperlocal jobs, AI-powered matching, and district coordination make hiring transparent and fast.
AI literacy delivered in local languages ensures people can use tools confidently.
Communities generate data, innovate solutions, and shape how AI grows — not the other way around.
The Gram Setu Ecosystem
Jan AI is designed not only as a collaborative community movement but as a scalable public innovation model.
Jan AI Cafés
accessible and inclusive
Jan AI App Store
provides the latest tools
Jan AI Mantra
the innovation engine
Our Impact
76,943
Youth Trained
15
States
50
Districts
“With access, support and belief, even ordinary beginnings can lead to opportunity”
– Mahendra
AI literacy that builds confidence, dignity, and everyday agency
Jan AI’s training programs focus on practical, hands-on learning. They help people understand where AI fits into their daily lives, whether in farming, enterprise, services, or decision-making, so it becomes a tool they can actually use and trust.
Contact Us
Head Held High Foundation
419, 9th Main Rd, 100ft Road HAL 2nd Stage, Indiranagar, Bengaluru, Karnataka 560038
(Opp. Ainmane Cafe and Speciality Store)
