Product Overview

Vishwas

Trust, Fairness & Explainability. Complete AI governance for Indian context—bias detection, fairness verification, and decision transparency.
Fair. Explainable. Auditable. Trust built in.

AI fairness tools built for Western contexts don't understand India's unique social dimensions. Bias that matters here is invisible to imported solutions.

Caste is Invisible

Global fairness tools have no concept of caste. Names, locations, and educational institutions encode caste in ways that create systematic discrimination invisible to standard bias detection.

Religion Unaddressed

Religious identity influences AI decisions through names, dietary preferences, and location patterns. Without explicit detection, this bias goes unmeasured and uncorrected.

Regional Disparities

North-South, urban-rural, Hindi-belt vs. vernacular regions—Indian geographic divides create disparate AI outcomes that Western fairness metrics cannot capture.

Regulatory Gap

RBI, SEBI, IRDAI require fairness. DPDP Act mandates transparency. But no tool provides India-specific compliance documentation. Auditors have nothing to audit.

You can't fix bias you can't see. Vishwas makes Indian bias visible.

The Vishwas Solution

Vishwas provides India-specific bias detection, fairness verification, and explainability—built for the dimensions that matter here.

6 bias dimensions tracked

Caste, religion, region, gender, economic status, and intersectional combinations—all monitored continuously.

Vernacular explainability

Explanations in 22 Indian languages. Citizens understand why AI decided what it did.

Regulatory compliance ready

Pre-configured for RBI, SEBI, IRDAI, and DPDP Act. Audit-ready documentation generated automatically.

RTI response templates

When citizens ask "Why was I rejected?", Vishwas generates legally compliant, human-readable answers.

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01

Caste Detection

Detect caste signals in names, locations, educational institutions. Surface hidden discrimination patterns.

02

Religion Analysis

Identify religious bias through name patterns, dietary indicators, and geographic correlations.

03

Regional Fairness

North-South, urban-rural, Hindi vs. vernacular—measure and correct geographic disparities.

04

Gender Intersection

Gender bias amplified by caste, religion, and region. Track intersectional discrimination.

05

Economic Status

Detect economic bias through transaction patterns, address signals, and language markers.

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Intersectional View

Combined analysis across all dimensions. Dalit woman from rural Bihar faces different bias than urban Brahmin man.

Explainability Capabilities

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Decision Audit Trails

Every AI decision logged with full reasoning chain. Cryptographically signed. Tamper-evident.

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Counterfactual Answers

"What would I need to change to get approved?" Actionable explanations for rejected applications.

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Vernacular Explanations

Generate explanations in Hindi, Tamil, Telugu, Bengali, and 18 more languages. Citizen-accessible.

10

RTI Templates

Auto-generate RTI-compliant responses. When citizens request explanations, you're ready.

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RBI AI Guidelines

  • Algorithmic fairness documentation
  • Credit decision explainability
  • Bias monitoring reports
  • Model governance evidence

SEBI Regulations

  • Fair treatment verification
  • Investment advice transparency
  • Customer outcome analysis
  • Suitability documentation

IRDAI Guidelines

  • Underwriting fairness
  • Claims decision transparency
  • Non-discrimination proof
  • Premium fairness audit

DPDP Act 2023

  • Automated decision disclosure
  • Right to explanation support
  • Consent-aware processing
  • Purpose limitation tracking

RTI Act Readiness

  • Decision documentation
  • Reasoning chain storage
  • Response template generation
  • 30-day compliance support

CAG Audit Support

  • Government AI transparency
  • Public expenditure AI audit
  • Scheme fairness verification
  • Beneficiary selection review

Comparison

Capability Global Fairness Tools Vishwas
Caste bias detection Not supported Native capability
Religious bias analysis Limited India-specific patterns
Regional disparity tracking No State & district level
Vernacular explanations English only 22 Indian languages
Indian regulatory compliance Not applicable RBI, SEBI, IRDAI, DPDP
RTI response generation No Auto-generated templates
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API Integration

Call Vishwas APIs from existing ML pipelines. Real-time bias scoring.

Model Wrapper

Wrap existing models with Vishwas layer. No retraining required.

Batch Analysis

Analyze historical decisions. Surface hidden bias in past data.

Dashboard

Executive fairness dashboard. Board-ready reports. Trend analysis.

Integration Options

Python SDK with type hints
REST API for any language
MLflow integration
Kubeflow pipeline support
Spark connector for batch
Kafka streaming analysis

Use Cases

Loan underwriting fairness
Insurance claims decisions
Government scheme selection
HR recruitment screening
Education admissions
Healthcare triage systems

Ready for Fair AI?

Fair. Explainable. Auditable. Trust built in.

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