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DCI AI Hub — AI Tracker socialprotectionai.org/use-case/IND-008
IND-008 Exported 1 April 2026

UIDAI–Sarvam AI Voice Services for Aadhaar: AI-Enabled Multilingual Voice Interactions and Real-Time Fraud Detection

Country India
Deployment Status Operational Deployment (Limited Rollout)
Confidence Confirmed
Implementing Agency Unique Identification Authority of India (UIDAI), Ministry of Electronics and Information Technology, Government of India

Overview

The Unique Identification Authority of India (UIDAI) has partnered with Bengaluru-based Sarvam AI, an indigenous full-stack Generative AI company, to deploy AI-enabled voice-based interaction and real-time fraud detection services for Aadhaar, India's national biometric identity programme covering over 1.3 billion enrolled residents. The partnership agreement came into effect on 18 March 2025 and is initially valid for one year, with the option to extend by an additional year (PIB, 2025a).

Sarvam AI has delivered a custom Generative AI stack that performs three core functions within the Aadhaar ecosystem. First, the system conducts AI-driven voice-based interactions for resident-centric use cases, enabling near real-time feedback collection from Aadhaar number holders regarding their enrolment and update processes. This feedback mechanism captures information on the quality of service provided at Aadhaar enrolment and update centres, including the detection and reporting of overcharging of residents by service providers. Second, the system provides real-time fraud alerts to Aadhaar number holders when the AI identifies suspicious activity during authentication requests. The AI continuously monitors authentication transactions and flags irregularities, reducing the risk of identity fraud and unauthorised access to Aadhaar-linked services. Third, the system delivers these capabilities across ten Indian languages — Hindi, English, Telugu, Tamil, Marathi, Gujarati, Kannada, Odia, Punjabi, and Malayalam — with plans to expand language coverage in subsequent months (PIB, 2025a; Elets eGov, 2025).

The technical architecture of the deployment is notable for its emphasis on data sovereignty and security. Sarvam AI's custom GenAI stack is hosted entirely on-premise within UIDAI's air-gapped infrastructure. No data leaves UIDAI's secure environment at any stage of operation, ensuring full compliance with India's data sovereignty and security protocols. The Ministry of Electronics and Information Technology confirmed that the deployment architecture guarantees that all data processing occurs within UIDAI's controlled perimeter. UIDAI retains full ownership of the deployed solution, with the technology having been developed through collaboration between Sarvam AI experts and UIDAI's Technology Centre in Bengaluru under UIDAI's volunteer policy (PIB, 2025a; Inc42, 2025; Elets eGov, 2025).

Sarvam AI, founded in 2023 by Pratyush Kumar and Vivek Raghavan, is an Indian AI startup that has developed indigenous foundation models optimised for Indic languages. The company raised USD 41 million in Series A funding in December 2023, led by Lightspeed Venture Partners with participation from Peak XV Partners and Khosla Ventures. Sarvam AI's technology stack includes Sarvam-1 (also known as Sarvam 2B), a 2-billion parameter open-source language model pre-trained on 4 trillion tokens with approximately 50 per cent dedicated to Indic language data, achieving 2-4x greater token efficiency compared to existing multilingual models. The company has also developed Bulbul, a text-to-speech model available in 11 Indian languages with 39 distinct speaker voices; Saaras, a speech-to-text model supporting all 22 scheduled languages of India including telephony audio and code-mixed speech; and Shuka 1.0, India's first open-source audio language model. Sarvam AI's Conversations platform handles over 100 million interactions with sub-500-millisecond latency across 11 Indian languages. The company was selected as one of 12 organisations under the IndiaAI Mission's Innovation Centre pillar, receiving financial and compute support amounting to Rs 246.72 crore from the Government of India (Inc42, 2025; PIB, 2025b).

The UIDAI partnership represents a significant deployment of indigenous Indian AI technology within critical national digital infrastructure. UIDAI CEO Bhuvnesh Kumar stated that 'UIDAI is a people centric organization. GenAI is the next technology evolution in UIDAI's journey as a technology pioneer, building on our long-standing commitment to innovation.' Vivek Raghavan, Co-Founder of Sarvam AI, stated that 'This engagement exemplifies the immense potential of AI to drive public good.' The Aadhaar system processes hundreds of crores of authentication transactions annually — over 284 crore authentication transactions were recorded in January 2025 alone, with cumulative authentication transactions exceeding 150 billion (15,011.82 crore) by April 2025 — making the fraud detection and voice interaction capabilities operationally significant at national scale (PIB, 2025a; PIB, 2025c).

Classification

AI Capabilities

LLMs for content creation, transformation and modality conversion (primary)Anomaly and change detectionPerception and extraction from unstructured inputs

Use Cases

User communication and interaction (primary)Compliance and integrity

Social Protection Functions

Implementation/delivery chain: Outreach/communications/sensitisation (primary)Implementation/delivery chain: Accountability mechanismsImplementation/delivery chain: Registration
SP Pillar (Primary)Social assistance

Programme Details

Programme NameAadhaar (Unique Identification Programme)
Programme TypeOther
System LevelImplementation/delivery chain

Aadhaar is India's national biometric identity programme administered by the Unique Identification Authority of India (UIDAI) under the Ministry of Electronics and Information Technology. The programme issues a 12-digit unique identity number to residents based on biometric and demographic data, serving as foundational digital infrastructure for identity verification, authentication, and e-KYC across government welfare delivery, financial inclusion, and public services. Over 1.3 billion residents are enrolled.

Implementation Details

Implementation TypeFoundation model
Lifecycle StageIntegration and Deployment
Model ProvenanceDeveloped in-house
Compute EnvironmentOn-premise
Sovereignty QuadrantI — Sovereign AI Zone
Data ResidencyDomestic
Cross-Border TransferNone

Risk & Oversight

Decision CriticalityModerate
Human OversightHOTL
Development ProcessMix of in-house and third-party
Highest Risk CategoryNot assessed
Risk Assessment StatusNot assessed

Risk Dimensions

Data-related risks

Representation bias

Governance and institutional oversight risks

Insufficient institutional capacityWeak documentation or auditability

Market, sovereignty and industry structure risks

Upstream model or API dependency

Model-related risks

Hallucination or misinformationReliability or generalisation failure

Impact Dimensions

Equality, non-discrimination, fairness and inclusion

Disparate error rates across groups

Systemic and societal

Deepened digital divide

Safeguards

Data minimisation controls

Deployment & Outcomes

Deployment StatusOperational Deployment (Limited Rollout)
Year Initiated2025
Scale / CoverageNational — Aadhaar covers 1.3+ billion enrolled residents. System supports voice interaction and fraud detection in 10 Indian languages with planned expansion. Aadhaar processes 284+ crore authentication transactions monthly (January 2025), with cumulative authentications exceeding 150 billion.
Funding SourceUIDAI / Government of India. Sarvam AI contributed development under UIDAI's volunteer policy. Sarvam AI separately receives Rs 246.72 crore in financial and compute support under IndiaAI Mission.
Technical PartnersSarvam AI (Bengaluru-based indigenous GenAI startup, founded 2023 by Pratyush Kumar and Vivek Raghavan). USD 41 million Series A funding (December 2023) from Lightspeed Venture Partners, Peak XV Partners, and Khosla Ventures. Technology stack includes Sarvam-1/2B (2B-parameter Indic language model), Bulbul (TTS in 11 languages), Saaras (STT for 22 scheduled languages), Shuka 1.0 (audio LM). Selected as one of 12 organisations under IndiaAI Mission Innovation Centre pillar.

Sources

  1. SRC-003-IND-008 Elets News Network (2025) 'UIDAI Introduces AI-Powered Voice Interactions and Fraud Detection for Aadhaar Services', Elets eGov, 24 March. Available at: https://egov.eletsonline.com/2025/03/uidai-introduces-ai-powered-voice-interactions-and-fraud-detection-for-aadhaar-services/ (Accessed: 25 March 2026).
    https://egov.eletsonline.com/2025/03/uidai-introduces-ai-powered-voice-interactions-and-fraud-detection-for-aadhaar-services/
  2. SRC-002-IND-008 Choudhary, L. (2025) 'UIDAI Partners Sarvam AI To Offer AI Voice, Fraud Detection To Aadhaar', Inc42, 18 March. Available at: https://inc42.com/buzz/uidai-partners-sarvam-ai-to-offer-ai-voice-fraud-detection-to-aadhaar/ (Accessed: 25 March 2026).
    https://inc42.com/buzz/uidai-partners-sarvam-ai-to-offer-ai-voice-fraud-detection-to-aadhaar/
  3. SRC-001-IND-008 Press Information Bureau (2025a) 'UIDAI partners with indigenous GenAI Company Sarvam AI to enhance user experience of Aadhaar services', Press Release PRID 2112485, 18 March. New Delhi: Government of India.
    https://www.pib.gov.in/PressReleasePage.aspx?PRID=2112485
  4. SRC-004-IND-008 Press Information Bureau (2025b) 'Sarvam AI Powering a Made-in-India AI Revolution', Press Release PRID 2231169. New Delhi: Government of India.
    https://www.pib.gov.in/PressReleasePage.aspx?PRID=2231169&reg=3&lang=1

How to Cite

DCI AI Hub (2026). 'UIDAI–Sarvam AI Voice Services for Aadhaar: AI-Enabled Multilingual Voice Interactions and Real-Time Fraud Detection', AI Hub AI Tracker, case IND-008. Digital Convergence Initiative. Available at: https://socialprotectionai.org/use-case/IND-008

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