Is Your AI Treating Everyone Fairly?
NyayAI audits your hiring, lending, and admissions datasets for hidden bias across caste, gender, region, and religion — and explains it in plain language anyone can understand.
Bias is Already in Your Data. You Just Can't See It.
🧑💼 Hiring
An AI trained on 10 years of hiring data learned to prefer candidates from metros — silently penalizing rural applicants with equal qualifications.
🏦 Lending
Loan approval models in India have been found to correlate repayment prediction with caste proxies like last names and home districts.
🎓 Admissions
College admission algorithms trained on historical data perpetuate legacy advantages, disadvantaging first-generation students from tier-2 cities.
Three Steps to a Fair Model
📤 Upload Your Dataset
Upload any CSV file. Hiring data, loan records, admissions data — any format.
🔍 NyayAI Audits It
Gemini detects bias across caste, gender, region, language, and religion with deep reasoning.
📋 Get Your Report
Gemini converts technical findings into plain English. No statistics degree required.
→ Takes less than 60 seconds
Everything You Need to Audit Fairly
Indian Context Aware
Detects caste, religion, native state, and mother tongue — not just Western categories.
Powered by Gemini
Deep reasoning identifies non-obvious bias patterns and proxy variables simpler tools miss.
Plain Language Reports
Gemini converts technical metrics into readable narratives. No statistics knowledge needed.
Actionable Fix Suggestions
Don't just find bias — fix it. Specific interventions with expected improvement scores.
Visual Bias Dashboard
Interactive charts show exactly which groups are treated differently and by how much.
Downloadable Audit PDF
Export a professional report to share with your team or compliance officer.
Why We Built NyayAI
In India, algorithmic bias can exacerbate existing societal inequalities, impacting opportunities in critical sectors like employment, finance, and education. Traditional bias detection tools often overlook the unique socio-cultural nuances present in Indian datasets.
We recognized a pressing need for a solution that truly understands the complexities of bias in the Indian context. NyayAI was born from a commitment to ensure fairness and equity in an increasingly AI-driven world, tailored specifically for India's diverse data landscape.
Our goal is to empower organizations, from startups to large enterprises, and even NGOs and academic institutions, to build and deploy AI systems that are transparent, accountable, and just for everyone.
Our mission: Make fair AI accessible to every Indian organization, regardless of technical expertise.
Aisha Sharma
Full Stack & AI
First-year CSE Student
IIT Delhi
Frequently Asked Questions
NyayAI supports CSV files containing structured data such as hiring applications, loan approval records, university admissions data, and more. As long as your data is tabular, we can audit it.
No, your privacy and data security are paramount. Files uploaded to NyayAI are processed instantly and deleted from our servers within 24 hours. We do not store any of your raw data long-term.
Not at all! NyayAI is designed for everyone, regardless of their technical background. Our reports are generated in plain English, explaining complex bias findings in an easy-to-understand narrative.
NyayAI is specifically trained to identify bias related to Indian sensitive attributes, including but not limited to caste, religion, native state, mother tongue, and region, in addition to standard categories like gender and age.
Yes, NyayAI offers a free tier for students and NGOs, allowing them to audit datasets for educational and social impact purposes. We also have competitive pricing plans for businesses and enterprises.
While tools like IBM AIF360 provide excellent general frameworks, NyayAI is uniquely built with an "Indian-first" approach. We leverage Gemini's deep reasoning to identify context-specific biases and proxy variables prevalent in Indian datasets, which generic tools might miss.