What Wadhwani AI does

Wadhwani AI is an independent, non-profit AI research institute founded in 2018 and based in Mumbai, India, operating as a program of the AI Unit of Lords Education and Health Society (LEHS). The organization develops and deploys approximately 23 named AI solutions across three verticals: healthcare (TB screening and management, eye health, disease surveillance, maternal and newborn health, clinical decision support), agriculture (pest management, farmer advisory chatbots, news monitoring, farm digitization, grain quality assessment), and education (reading fluency assessment, spoken English practice, dropout prevention, adaptive learning). Its technology stack spans computer vision, speech and audio AI, NLP, predictive analytics, generative AI (including GPT-4-mini-based chatbots), and anomaly detection, with specialized architectures for low-resource, offline-capable deployment on basic smartphones and support for 11+ Indic languages through integration with Bhashini's IndicTrans2 model.

Wadhwani AI's go-to-market is enterprise-field-sales oriented, executed through non-financial MoUs with central and state government ministries (Health, Agriculture, Education), national health programs (NTEP, Ayushman Bharat), and public platforms (eSanjeevani, Ni-kshay, PM-KISAN, ANMOL, IDSP, Kisan Call Center). Solutions are delivered free of cost to government partners and end beneficiaries, with the organization funding operations through grants from Google.org (cumulative disclosed commitments exceeding $17.5M), USAID, UNICEF, Gates Foundation, Global Fund, and technology partnerships. Deployment is operationalized through frontline workers (ASHAs, ANMs, agricultural extension officers, teachers), enabling reach to 190 million+ individuals across all Indian states and union territories as of January 2026, with 122,000+ TB screenings, 15 million+ reading assessments, and 2.69 million farmer queries resolved as documented outcomes.

Name

Wadhwani AI

Legal name

Lords Education and Health Society (LEHS)

Website

https://wadhwaniai.org

Company type

Private

Founded year

2018

Operating status

Operating

Headcount range

251–500 employees

Ownership category

akta.pro rank

Product category

AI for Social Impact / Public Sector AI Solutions

NAICS

Computer Systems Design and Related Services (54151), Research and Development in the Social Sciences and Humanities (54172)

SIC

Services-Computer Programming Services (7371), Services-Prepackaged Software (7372), Services-Misc Health & Allied Services, Nec (8090), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

HIE Platforms & Network Services (Community/Regional/National) (HLACABAB)

akta.pro secondary industries

Economic Evaluation & Health Technology Assessment (Public Programs) (HLAJANAL), Health Information Exchange & Public Health Data Integration (HLAJAJAD), Health Data, Vital Statistics & Population Health Informatics (BPAIAJAM), Health Systems Strengthening & Global Health Technical Assistance (BPADAEAH), State/Provincial Health Department & Public Health Administration (BPAIABAH)

Keywords

• AI social impact
• Public sector AI solutions
• Agricultural AI tools
• Healthcare AI diagnostics
• Education AI platforms

Headquarters

HQ city

Mumbai

HQ country

India

HQ region

Asia

Offices3 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Others

Revenue model

1. Foundation Grants: Wadhwani AI operates as a non-profit receiving grants from foundations. Google.org has provided multiple grants including $1M for agricultural AI, $2M for CottonAce, and $4.5M for multilingual applications.
2. Government Project Partnerships: Non-financial MoUs with state governments where Wadhwani AI provides technical support at no cost, with government providing deployment infrastructure and scale.
3. Technology Partnerships: Partnerships with technology companies like Google for joint AI development, deployment support, and co-funding of solutions.
4. Donor Funding: Funding from international development organizations including USAID (TRACE TB project), UNICEF, Gates Foundation, and Global Fund.

Pricing tiers

Go-to-market motion3 records

Distribution channels5 records

Marketing channels10 records

Core offering

Wadhwani AI develops and deploys AI-powered software solutions for public health, agriculture, and education across India, delivered free of cost to government partners. Its portfolio spans TB screening and management, diabetic retinopathy detection, newborn health assessment, maternal care, crop pest management, farmer advisory chatbots, agricultural news monitoring, reading fluency assessment, and student dropout prediction. Solutions are integrated into government platforms (eSanjeevani, Ni-kshay, PM-KISAN, ANMOL) and deployed through frontline health and education workers to reach underserved populations.

Product overview

Wadhwani AI is a non-profit organization (a program of the AI Unit of Lords Education and Health Society) that develops and deploys AI solutions for social impact across three sectors: Healthcare, Agriculture, and Education. Its product portfolio consists of approximately 23 named AI solutions delivered as mobile applications, web-based platforms, and government-integrated tools. In Healthcare, the portfolio covers TB screening and management (Cough Against TB, PATO, VMTB, LPA AI, Chest X-Ray AI, CDSS), eye health (Diabetic Retinopathy AI / MadhuNetrAI), disease surveillance (MDS), frontline health support (HealthVaani), maternal health (PROS), and newborn health (Shishu Maapan). In Agriculture, solutions include crop pest management (CropAce, NPSS), farmer advisory chatbots (Kisan e-Mitra, Krishi Saathi), agricultural news intelligence (Krishi 24/7), farm data digitization (Agri AI Collect), and grain quality assessment (Soybean Grain Analyzer). In Education, offerings include reading fluency assessment (ORF / Vaachan Samiksha), spoken English practice (SEAP), adaptive learning (LEARN), and dropout prevention (Early Warning System). The solutions work across platforms (smartphones, web dashboards, telemedicine portals) and are deployed in partnership with Indian government ministries and state governments. The portfolio uses a common technical stack of computer vision, speech/audio AI, NLP, predictive analytics, and generative AI, often built on Bhashini's multilingual Indic language models.

Differentiator

Problem solved

Functional benefit

Brands

• Shishu Maapan: AI-powered smartphone app for assessing newborn health through video analysis, enabling early detection of malnutrition.
• Cough Against TB
• Oral Reading Fluency (ORF)
• Kisan e-Mitra
• Krishi Saathi
• CropAce
• PATO (Prediction of Adverse TB Outcomes)
• Vulnerability Mapping for TB
• Diabetic Retinopathy Detection

Products and services

• CropAce AI-powered computer vision tool for real-time detection and diagnosis of pests and diseases in crops (cotton, maize, chilli, rice) from photos, delivering expert-backed advisories in 7 languages for smallholder farmers.
• Kisan e-Mitra AI-enhanced multilingual chatbot providing instant grievance redressal and scheme information for PM-KISAN beneficiaries, handling queries across 11 Indic languages via text, voice, and FAQ interactions. Resolved 2.69 million queries in 186 days post-AI upgrade.
• Krishi 24/7 AI-powered news monitoring system that scans articles in 11 regional languages, extracts agricultural events (pests, weather, markets), and presents actionable intelligence on an interactive dashboard for policymakers and extension teams.
• Krishi Saathi AI chatbot that empowers Kisan Call Center advisors with instant, accurate weather updates from the Indian Meteorological Department, expanding to cover plant protection, market prices, and crop insurance, using GPT-4-mini to generate summaries in 11 Indic languages.
• Agri AI Collect Voice-first mobile application that transcribes farmers' spoken records in Hindi or Marathi into structured digital farm data, digitizing yields, practices, and field activities for planning and advisory.
• Soybean Grain Analyzer AI tool using computer vision to objectively assess soybean grain quality from images, empowering smallholder farmers to negotiate fair prices based on transparent quality measures rather than middleman subjectivity.
• National Pest Surveillance System (NPSS) AI-powered pest identification and quantification system integrated with ICAR-NCIPM, using computer vision to identify major cotton and rice pests from images, enabling early detection and targeted pest management responses.
• Cough Against TB (CAT) AI-powered smartphone application that analyzes cough sounds and symptoms to screen for presumptive pulmonary TB, working offline to enable faster screening and timely referrals in hard-to-reach community settings.
• Prediction of Adverse TB Outcomes (PATO) AI risk stratification tool that predicts at treatment initiation which TB patients are at high risk of adverse outcomes (default, mortality), enabling healthcare workers to prioritize follow-up and support for the most vulnerable individuals.
• Vulnerability Mapping for TB (VMTB) AI mapping tool that analyzes data from nearly 30 open-source geospatial datasets (population density, nutritional profile, access to health centres) to identify TB-vulnerable geographies and high-risk zones for targeted screening.
• Line Probe Assay AI (LPA Automation) AI-driven automated interpretation of Line Probe Assay test strips for drug-resistant TB diagnosis, reducing manual errors and accelerating diagnostic turnaround time with validated accuracy of 97.3% for First-Line and 100% for Second-Line LPA. Deployed nationwide across 97 CDST labs and integrated with Ni-kshay.
• Chest X-Ray AI (TB Scan) AI solution that automatically interprets chest X-rays to detect pulmonary abnormalities including TB, acting as an assistant to clinicians and supporting teleradiology workflows in low-resource facilities.
• Clinical Decision Support System (CDSS) AI system integrated with eSanjeevani that structures patient data from telemedicine consultations and provides real-time differential diagnosis suggestions and treatment recommendations across 31 conditions.
• Diabetic Retinopathy AI (MadhuNetrAI) AI solution that analyzes retinal photographs from fundus cameras to detect and grade diabetic retinopathy severity, deployed across 9 states and 20 AIIMS centers with 96% sensitivity, enabling referral of high-risk patients to ophthalmologists.
• Media Disease Surveillance (MDS) AI-powered surveillance system that automatically scans over 35,000 media sources in 12 Indic languages and English, identifying potential health events and sending real-time outbreak alerts to health authorities as part of India's Integrated Disease Surveillance Programme. Flagged 110,000+ unique disease events since 2022.
• HealthVaani AI-powered conversational assistant available on mobile for frontline health workers (ASHAs, ANMs), providing instant, role-specific health information and guidance in Hindi, English, and Hinglish.
• Shishu Maapan AI smartphone app that estimates newborn anthropometric measurements (weight, height, head/chest circumference, MUAC) from short video capture, enabling frontline health workers to assess newborn health without physical contact or specialized equipment.
• Pregnancy Risk and Outcome Stratification (PROS) AI early warning system that predicts which pregnant women are at higher risk of missing antenatal care visits, enabling ANMs to proactively prioritize outreach and ensure timely maternal healthcare delivery.
• Oral Reading Fluency (ORF) AI tool that listens to students read aloud using ASR fine-tuned for Indic languages, providing teachers with objective fluency insights (words per minute, accuracy, error flags) to enable targeted reading support for students in Grades 2-8.
• Spoken English Assessment & Practice (SEAP) AI-powered speaking practice tool using ASR to evaluate learners' spoken English, providing instant structured feedback on fluency, pronunciation, and accuracy as learners record passages, helping students practice confidently.
• Learning Enhancement and Assessments for Revamping NMEICT (LEARN) AI system that personalizes the Swayam e-learning experience by recommending courses, breaking lectures into chapters, and generating automated assessments, helping learners discover, engage, and progress efficiently.
• Early Warning System (EWS) AI layer integrated into Gujarat's Child Tracking System (CTS) that identifies students at risk of dropping out by analyzing attendance, test scores, and socio-economic data, highlighting top three contributing risk factors for each student. Deployed across 50,000+ schools identifying 167,000 at-risk students.
• PMRBP Candidate Identification AI AI-powered web-crawling system that identifies children potentially eligible for the Pradhan Mantri Rashtriya Bal Puraskar by analyzing over 40 million news articles, curating candidate lists for the Ministry of Women and Child Development. 4 children from the AI pipeline were honored in 2024.

Quantifiable outcome

• TB detection increased by 251% in Haryana through Vulnerability Mapping for TB
• +6 more outcomes

Named customers8 records

Segments5 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration8 records

AI capability23 records

Feature15 records

Partnerships

20 partnerships are on record, tiered core and minor.

• Government of RajasthancoreStrategic or Co-development Partner · 26 May 2026MoU for Wadhwani AI to serve as technical partner deploying AI tools (AgriVaani, CropAce, Soybean Grain Analyzer, News Monitoring) across the state for 95 lakh farmers.
• Government of Arunachal PradeshcoreStrategic or Co-development Partner · 23 April 2026MoU with National Health Mission for AI deployment across TB care, telemedicine, maternal/child health, and eye health programs.
• Government of MaharashtracoreStrategic or Co-development Partner · 16 March 2026MoU for AI deployment in public health including tuberculosis control and maternal health under Mahayagri AI Policy.
• Government of Uttar PradeshcoreStrategic or Co-development Partner · 14 March 2026Expanded partnership for seven AI solutions covering TB care, telemedicine, eye health, and maternal/child health under UP AI Mission.
• Piramal FoundationcoreStrategic or Co-development Partner · 13 March 2026Strategic partnership to develop AI solutions for health outcomes and strengthen public systems, aligned with Ayushman Bharat Digital Mission.
• Smart AfricacoreStrategic or Co-development Partner · 28 February 2026MoU for advancing responsible AI across African continent focusing on health, agriculture, education, financial services, government services, and climate action.
• Lords Education and Health Society (LEHS)coreOthersParent organization under which Wadhwani AI operates as a program of the AI Unit.
• Ministry of Health and Family Welfare, Government of IndiacoreStrategic or Co-development PartnerOfficial partner for deploying AI solutions in national health programs including TB screening, diabetic retinopathy detection, and clinical decision support.
• Central TB DivisioncoreStrategic or Co-development PartnerLong-standing partner since 2018 for TB AI solutions including Cough Against TB and PATO, integrated with National TB Elimination Programme.
• AIIMS New DelhicoreStrategic or Co-development PartnerCollaboration on diabetic retinopathy AI screening at RP Centre, validated solution with 90%+ sensitivity, contributed to AIIMS CoE for AI in Healthcare recognition.
• SalesforceminorGTM or Marketing PartnerPartnership through Salesforce's 1-1-1 philanthropy model, combined with 1M1B Foundation for Green Skills and AI Academy aiming to train 100,000 young people.
• UNICEFcoreStrategic or Co-development PartnerPartnership for education initiatives including ORF remediation in Rajasthan, Early Warning System deployment in Gujarat, and child health programs.
• Piramal FoundationcoreStrategic or Co-development PartnerStrategic partnership for health outcomes, particularly TB screening in Mizoram through health camps.
• JhpiegocoreStrategic or Co-development PartnerPartner in TB screening acceleration efforts in Mizoram.
• ICAR-NCIPMcoreStrategic or Co-development PartnerIntegration of AI models into National Pest Surveillance System for crop pest identification and monitoring.
• Karmayogi BharatcoreStrategic or Co-development PartnerPartnership with Google for skilling programs, announced at India AI Impact Summit to train public servants.
• BhashinicoreTechnology or IntegrationIntegration of IndicTrans2 model for multilingual chatbot support across 11 Indian languages in Kisan e-Mitra and other solutions.
• EkStepcoreTechnology or IntegrationCollaboration partner for Kisan e-Mitra development with Digital Green and NIC.
• National Health Mission (NHM)coreStrategic or Co-development PartnerPartnership for TB screening, maternal health, and health worker training across states.
• LVPEI (L V Prasad Eye Institute)coreStrategic or Co-development PartnerPartner for diabetic retinopathy screening deployment and eye health programs.

Scale indicators16 records

Recent moves6 records

Expansion highlights7 records

Direct peers

• ARMMAN: India-based non-profit deploying mHealth and AI interventions for maternal and child health. Directly comparable as a domestic non-profit using technology to deliver health outcomes at the last mile through government health systems and frontline health workers (ASHAs, ANMs).
• Digital Green: India and global non-profit that pioneered video-based agricultural extension for smallholder farmers and has expanded into AI-driven advisory. Directly comparable in the AI-for-agriculture-for-smallholders space, also working with Indian government agriculture departments and using multilingual AI tooling.
• Dimagi: Social enterprise behind CommCare, the dominant open-source mobile data collection and service-delivery platform used by frontline health workers globally. Directly comparable as a tech-for-development platform embedded with governments and NGOs, including India deployments.
• PATH: Global health non-profit with deep India operations that develops and deploys digital health innovations, including TB screening, maternal health, and disease surveillance tools in partnership with governments. Comparable scale, sectoral focus on health, and donor-funded non-profit operating model.
• IDinsight: Data-driven social impact organization working across health, agriculture, and education in India and Africa. Comparable as a non-profit using data science and AI to inform public sector decision-making with similar donor profile (Gates, USAID).

Broad incumbents

• Clinton Health Access Initiative (CHAI): Large global health non-profit implementing programs across 30+ countries including India. Operates TB programs, health system strengthening, and AI-enabled diagnostics at significantly larger scale, with broader programmatic footprint that overlaps Wadhwani AI's health AI portfolio.
• Google AI for Social Good: Google's philanthropic AI initiative that funds and builds AI solutions for global development challenges, including directly funding Wadhwani AI. Comparable as a funder and provider of AI-for-social-good tools globally, though at much broader scope and with greater R&D resources.
• Microsoft AI for Good: Microsoft's program funding and deploying AI solutions across health, agriculture, education, and environmental domains globally. Comparable as a large-tech incumbent in the AI-for-social-good space, including projects in India with government partners.

Emerging players

• AI4Bharat: India-based research initiative at IIT Madras building open-source Indic language AI models including IndicTrans2 (which Wadhwani AI's Kisan e-Mitra uses). Comparable as an Indic-language AI builder and a technology enabler for Wadhwani AI's multilingual deployments.
• Karya: India-based non-profit creating dignified digital work for rural populations while producing high-quality Indic-language datasets for AI. Co-partnered with Wadhwani AI at OpenAI Nonprofit AI Jam and addresses the data annotation layer underlying social-impact AI in India.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks7 records

Key highlights7 records

Customer concentration

• Xx.com/wadhwaniai
• YouTubeyoutube.com/channel/UC-76iC2WCBX7Z-ESmj8ECBw
• Facebookfacebook.com/WadhwaniAI
• LinkedInlinkedin.com/company/wadhwani-ai-2018
• Instagraminstagram.com/wadhwaniai

Revenue estimate

Valuation estimate

Number of profiles

Profiles11 records

Funding overview

Funding rounds5 records

Investors3 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Wadhwani AI