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An open research foundation built for public benefit

CogniHuman is a Section 8 not-for-profit company registered in India, dedicated to advancing open and ethical Voice AI and Large Language Models. We believe artificial intelligence should be a common good.

What we pursue

Advancement of Scientific Research

Conduct and publish open research at the intersection of human cognition and AI, with full reproducibility.

Preservation of Linguistic Heritage

Build open-source Voice AI and LLMs for regional languages and underrepresented dialects across India and beyond.

Promotion of Ethical Standards

Create benchmarks and explainable frameworks that protect human rights, privacy, and community consent.

Relief of the Digital Divide

Provide free and subsidized AI educational tools to marginalized communities who lack access to existing resources.

Education & Vocational Training

Organize workshops and digital skills training programs for youth and the general public in AI literacy.

Global Social Collaboration

Foster an inclusive ecosystem for researchers, linguists, and social workers to address humanitarian challenges through AI.

Formal foundation, transparent operations

CogniHuman is not a startup or a hobby project. We are a formally registered not-for-profit in India with full statutory recognition, eligible for CSR contributions from Indian corporates.

Incorporation Section 8 Company, India
Tax Exemptions 12A & 80G registered
Govt. Recognition NITI Aayog (Darpan)
CSR Eligibility CSR-1 registered
Open Licenses Apache 2.0 · CC BY-SA 4.0

The people behind CogniHuman

We are researchers, engineers, and community builders who believe Voice AI should serve everyone. Our team is growing — see below for how to join.

Founder

Research Direction & Foundation Leadership

Open position

Research Collaborator — Voice AI

Open position

Linguist — Indic Languages

Open position

ML Engineer — Speech Systems

Get Involved

Join the mission

We welcome volunteers, researchers, linguists, and developers. You don't need to be an ML expert — there are meaningful ways to contribute at every skill level.

Data Collection

Help record or transcribe speech in your native dialect. No technical background needed.

Model Evaluation

Run benchmarks, listen to synthesized speech, and help us document results systematically.

Research & Engineering

Implement optimizations, write papers, fine-tune models for new languages.

Community Outreach

Connect us with speakers, institutions, or CSR partners who share our mission.

Get in touch

General Inquiries [email protected]
Research Collaborations [email protected]
CSR / Partnerships [email protected]