Top 50 AI Tools Created in India for India (2026): Features, Pricing, Owners, Users and Valuation
- Parikshit Khanna
- 14 hours ago
- 19 min read
Quick answer
India's AI market is no longer limited to services built on foreign models. Indian teams now offer foundational models, Indic-language speech and translation, enterprise agents, document automation, medical diagnostics, education platforms, identity verification, agricultural intelligence and video analytics.
This editorial directory compares 50 notable Indian-created AI products. It is not a claim that one tool is universally “best.” The right choice depends on language coverage, accuracy on your own data, security, deployment model, integrations, support and total cost.
How this list was audited
To qualify, a product had to be founded or substantially developed in India, or be led by an Indian public or academic institution. Several companies now have international headquarters, investors or customers; “Indian-created” does not mean that every product is Indian-owned today, hosted only in India or sold exclusively in India.
The list prioritises India-specific value, product maturity, technical importance, public deployment evidence and practical usefulness. Prices were checked on public pages where available. “Custom” means the vendor requires a quote. “N/D” means not publicly disclosed or not found in a reliable current source. “N/A” means a separate valuation is not meaningful for a government, academic or parent-company product.
User figures are not directly comparable. Consumer products count users; enterprise vendors may publish customers, conversations or API calls; health platforms report patients; agritech companies report farmers or hectares. Vendor-reported figures are identified as such. Funding is not valuation, and an acquisition price for a stake is not a company valuation.
India AI market snapshot
The 2025 Indian tech-startup report from NASSCOM and Zinnov counted more than 4,200 deep-tech startups, including more than 550 founded during 2025. It reported $2.3 billion of deep-tech funding in 2025, up 37%, with AI representing 84% of deep-tech startups and 91% of funding. These figures explain why a useful Indian AI directory now needs to cover far more than chatbots.
1. Indian foundation models, language AI and infrastructure
No. | Tool and website | Owner or creator | Main features | Public pricing | Target audience | Public valuation, funding or ownership signal | Public reach signal | Why it stands out | |
1 | Sarvam AI — Indus, Samvaad and APIs | Sarvam AI; founders Vivek Raghavan and Pratyush Kumar | India-built 30B and 105B models; Indic chat, speech-to-text, text-to-speech, translation, vision and document digitisation; cloud, VPC and on-premises options | ₹100 signup credit in current docs; 105B API ₹4 input/₹16 output per 1M tokens; STT ₹30/hour; Bulbul v3 ₹30/10,000 characters; Vision ₹0.50/page; Pro ₹10,000 prepaid; Business ₹50,000 prepaid | Developers, startups, government and regulated enterprises | Valued at $1.5 billion in its June 2026 Series B; $234 million first close | Reported at about 2 million interactions and 10 million API calls daily; more than 35 million pages digitised | The broadest current India-first stack across language, speech, documents and deployable enterprise models | |
2 | Krutrim Cloud and Kruti | Krutrim SI Designs; founder Bhavish Aggarwal | GPU/CPU cloud, AI pods, storage, model services and an Indian-language assistant | CPU instances from about ₹3/hour; A100 80GB ₹189/hour and H100 ₹213/hour on demand; discounts for commitments | Indian developers, model builders and enterprises needing local compute | Became a $1 billion unicorn in 2024; no newer independent valuation located | TechCrunch reported 25+ enterprise customers and roughly ₹300 crore FY26 revenue; these are company figures | Combines an Indian AI application layer with locally sold compute infrastructure | |
3 | CoRover; founder Ankush Sabharwal | Voice, video and text agents; 120+ languages; voice in 14+ Indian languages; India hosting and BHASHINI integration | Custom enterprise quote | Government, transport, BFSI, public services and large customer-service teams | N/D | CoRover says it has served 1 billion+ users; a 2026 report carried the company's higher claim of 1.8 billion. Treat both as vendor-reported reach | Strong public-service and high-volume conversational deployments with Indian-language focus | ||
4 | SML India and 3AI Holding; Indian lead Vishnu Vardhan | General chat, coding, tutoring and translation across 98 global languages, including 12 Indian languages | Free at launch; current premium and enterprise prices N/D | Consumers, students, developers and public-service pilots | N/D | The announced goal was 200 million users; that was a target, not a verified current user count | An early mass-market multilingual Indian assistant; buyers should verify current product activity and terms | ||
5 | Digital India BHASHINI Division, Digital India Corporation, MeitY | Translation, speech recognition, speech synthesis, OCR and language APIs for Indian languages; BhashaDaan data contribution | Public app and platform access; programme or production deployment terms vary | Citizens, ministries, states, startups and public digital services | N/A — government digital public infrastructure | Government sources reported 36+ languages, 350+ AI models and 1 million+ downloads by October 2025 | India's most important public language-AI infrastructure and an integration layer for citizen services | ||
6 | AI4Bharat at IIT Madras | Open translation models for all 22 scheduled Indian languages; English–Indic and Indic–Indic translation; open datasets and evaluation sets | Free and open source; MIT model checkpoints, with compute costs borne by the user | Researchers, developers, universities and localisation teams | N/A — academic/open-source project | No comparable user number; public repository and models are widely available | A rigorous open foundation for building translation into Indian products without a closed API dependency | ||
7 | BharatGen Technology Foundation; IIT Bombay-led consortium under the NM-ICPS programme | Multimodal models for text, speech and images across Indian languages; research and public-interest applications | Research/open access and institutional partnerships; commercial price N/D | Government, academia, healthcare, agriculture, education and Indian AI builders | N/A — publicly supported consortium | 60+ researchers across a nine-institution consortium; consumer users N/D | A nationally coordinated multimodal programme designed around India's languages and social sectors | ||
8 | Soket AI — Pragna and Dhrith | Soket AI Labs | Pragna-1B multilingual open model; Dhrith speech recognition for Indian accents, code-switching and emotion | Open models free; enterprise services custom | Researchers, voice-agent teams and developers needing compact Indic models | N/D | N/D | Useful for teams that want smaller, inspectable Indian-language building blocks rather than only a hosted assistant | |
9 | KissanAI — Dhenu and Kissan Agent | KissanAI; founder Pratik Desai | Voice-first multilingual farm assistant; crop, pest and market guidance; open agricultural language and vision models | Public agent and open models available; enterprise deployments custom | Farmers, agribusinesses, agri researchers and rural-service organisations | N/D | N/D | Built around agricultural vocabulary and field questions instead of treating farming as a generic chatbot use case | |
10 | Jio Platforms, part of Reliance Industries | ML-as-a-service, edge AI, anomaly detection, forecasting, automation, LLM services and model lifecycle tools | Custom enterprise quote | Telecom operators, large enterprises, industrial and edge-AI teams | N/A as a Jio Platforms product | A 2026 SKOCH case study says the platform supports Jio's 500M+ subscriber environment and analyses 350B+ telemetry signals daily; these are infrastructure-scale figures, not distinct JioBrain users | One of India's clearest examples of AI deployed against national-scale network operations | ||
11 | Neysa — Velocis, Aegis and Overwatch | Neysa; founders Sharad Sanghi and Anindya Das | Managed GPU cloud, AI workload orchestration, security and observability | Custom quote | AI labs, enterprises and sovereign-compute buyers | Announced financing of up to $1.2 billion in 2026, including equity and planned debt; this is not a valuation | Plans to deploy 20,000+ GPUs; current customer count N/D | A major Indian AI-infrastructure option for organisations that need managed compute and governance | |
12 | Reverie Language Technologies — CubeRoot and Anuvadak | Reverie; founders Arvind Pani and Vivekananda Pani; Reliance-backed | Indian-language STT, TTS, translation, transliteration, localisation and multilingual voice agents | Time-limited public offer listed STT at ₹19.90/hour with 500-hour minimum and TTS at ₹500/million characters with 5M-character minimum; enterprise custom | Government, BFSI, media, commerce, call centres and developers | N/D | Company reports 1B+ recurring API calls, 300M+ lives impacted and 145+ clients | Long-running Indian-language R&D with text, voice and localisation in one enterprise stack |
2. Enterprise agents, customer experience and employee productivity
No. | Tool and website | Owner or creator | Main features | Public pricing | Target audience | Public valuation, funding or ownership signal | Public reach signal | Why it stands out |
13 | Yellow.ai; founders Raghu Ravinutala, Jaya Kishore Reddy Gollareddy and Rashid Khan | Voice and chat agents, orchestration, agent assist, analytics, 35+ channels, 150+ integrations and 135+ languages | Free: one agent and 500 chats/month; then $0.99 per resolution on the public tier; enterprise custom | Large customer-service, commerce and employee-support operations | Last widely reported unicorn valuation is historical; no reliable current round located | Enterprise customer count N/D in current public pricing; published customer deployments show global scale | Strong omnichannel and multilingual enterprise automation with a usable entry tier | |
14 | Jio Haptik; founders Aakrit Vaish and Swapan Rajdev; majority-owned by Jio Platforms | AI agents for support, commerce and WhatsApp; SMB marketing, catalogue and automation through Interakt | WhatsApp AI agents were launched from ₹10,000 in 2025; enterprise deployments custom; Meta fees may apply | Indian SMBs, D2C brands and enterprise CX teams | Jio acquired a majority stake in 2019; current standalone valuation N/D | Interakt was reported as used by 50,000 businesses | Connects enterprise conversational AI with a practical WhatsApp product for Indian businesses | |
15 | Gupshup; founder Beerud Sheth | AI agents and business messaging across WhatsApp, RCS, SMS and 30+ channels; commerce, campaigns and APIs | Usage and channel based; Meta or carrier fees apply; enterprise packages vary | Brands, banks, commerce platforms, developers and communication teams | Fidelity's January 2026 carrying-value estimate implied about $278 million; this is not a new financing-round valuation | Company says 120B conversations/year, 50,000+ customers and 60+ countries | Deep messaging infrastructure plus AI agents, particularly relevant to WhatsApp-heavy Indian journeys | |
16 | Observe.AI; Indian founders Swapnil Jain, Akash Singh and Sharath Keshava | Customer-facing agents, frontline companion, automated QA, coaching, conversation intelligence and compliance | Custom quote | Large contact centres and BPO operations | $125M Series C announced in 2022; current valuation N/D | A 2026 DoorDash deployment covers nearly 100% of interactions across 19,000 agents; total platform users N/D | Unifies automation, human-agent assistance and operations analytics across the CX lifecycle | |
17 | Uniphore; founders Umesh Sachdev and Ravi Saraogi | Business AI Cloud, voice AI, knowledge, data, agents, emotion and workflow automation | Custom enterprise quote | Global enterprises, contact centres and industry workflows | Valued at $2.5 billion in its 2025 $260M Series F | Company reports 2,500 enterprise customers | One of the largest Indian-founded enterprise AI platforms by disclosed valuation and customer base | |
18 | Gnani.ai — Inya VoiceOS | Gnani.ai; founders Ganesh Gopalan, Ananth Nagaraj and Bharath Shankar | Voice agents, speech analytics, voice biometrics and multilingual contact-centre automation | Custom quote | Banks, insurers, collections, telecom and customer-service operations | $10M first tranche of Series B reported in 2026; valuation N/D | Company reports 30M voice interactions daily and 200+ enterprise customers | India-trained voice AI with production volume, local languages and biometric capabilities |
19 | Omnichannel agents for debt collection across voice, SMS and email; compliance and campaign analytics | Performance-based or custom enterprise pricing | Banks, lenders, collection agencies and debt buyers | Historical Series B funding of $23M; current valuation N/D | Company reports 1B+ conversations for 100+ enterprises | Narrow domain focus makes it easier to evaluate against collection outcomes rather than generic chatbot demos | ||
20 | Verloop.io; founder Gaurav Singh | Conversational support automation, agent assist, knowledge and workflow integrations | Custom quote; demo available | E-commerce, BFSI, travel, logistics and support teams | Historical Series A funding disclosed; current valuation N/D | Current comparable user or customer figure N/D | India-founded support automation with enterprise integrations and regional-market experience | |
21 | LimeChat | AI support, WhatsApp commerce, conversational marketing and D2C automation | Personalised by suite, volume and automation tier | D2C brands, commerce, BFSI and high-volume support teams | N/D | Company reports 300+ brands and up to 90% query automation; vendor-reported | Particularly relevant where sales and support both happen on WhatsApp | |
22 | AiSensy | WhatsApp marketing, broadcasts, catalogues, shared inbox and AI chat agent | Free; Pro ₹3,200/month; Premium ₹9,100/month; Unlimited ₹45,000/month; AI Chat Agent add-on ₹3,500/month; Meta messaging charges extra | SMBs, D2C brands, agencies, education and local services | N/D | Company reports 210,000+ businesses across 68+ countries | Clear INR pricing and a low-friction path from WhatsApp campaigns to an AI agent | |
23 | Leena AI; founders Adit Jain, Mayank Goyal and Anand Prajapati | Pre-built HR, IT and finance “AI Colleagues,” enterprise search, workflow execution, integrations and governance | Personalised, outcome-based enterprise quote | CHRO, CIO and CFO teams in large enterprises | Historical $30M Series B; current valuation N/D | Company reports 20M+ employees across 500+ enterprises | Deep back-office integrations and published deployment metrics distinguish it from a simple FAQ bot | |
24 | Atomicwork; founders Vijay Rayapati, Kiran Darisi and Parsuram Vijayasankar | AI coworkers for IT and employee service, ITSM, knowledge, workflow automation and Microsoft Teams/Slack access | Professional starts at $25,000/year; 25,000 credits, five AI coworkers, 250 end users and 500 devices; higher tiers custom | Mid-market and enterprise IT, HR and operations teams | $25M Series A announced in 2025; valuation N/D | Customer/user count N/D | Modern employee-service architecture with transparent starting price and outcome-oriented agents | |
25 | Zoho Corporation; co-founded by Sridhar Vembu and Tony Thomas | Writing and summarisation, predictions, anomaly detection, analytics, CRM/service assistants and agents across Zoho apps | Included in selected paid Zoho editions; exact cost depends on the app and edition | Indian SMBs and enterprises already using Zoho CRM, Desk, Analytics, Books or Workplace | Privately held and substantially bootstrapped; no public market valuation | Parent Zoho reported 150M+ users and 1M+ paying customers in 2026; this is not a Zia-only user count | AI inside a broad Indian business-software suite reduces integration work for existing Zoho customers | |
26 | Convin; founded by IIT Delhi alumni | AI phone agent, real-time rep assist, conversation intelligence, automated QA, coaching and LMS | Custom quote | B2C sales, service, collections, BPO and contact-centre teams | $6.5M funding round announced in 2024; valuation N/D | 80+ clients were reported at the 2024 round; current total N/D | Covers autonomous calls, live assistance and post-call analysis on one platform |
3. Content, media, document and AI-development tools
No. | Tool and website | Owner or creator | Main features | Public pricing | Target audience | Public valuation, funding or ownership signal | Public reach signal | Why it stands out |
27 | Nanonets | Document extraction and workflow agents for invoices, orders and forms; APIs, ERP connectors and on-premises options | $50 free credit; then $100/month for 100 credits; public block rates $0.02 simple, $0.10 standard AI and $0.30 complex AI per run; enterprise custom | Finance, procurement, operations and healthcare teams | Historical $29M Series B; current valuation N/D | No comparable user total; public case studies include enterprise deployments across thousands to hundreds of thousands of documents | Strong end-to-end document workflow automation rather than OCR alone | |
28 | InVideo; Indian founders including Sanket Shah | Prompt-to-video, script, stock and generative media, AI twins, editing, voice and social exports | Free limited weekly credits; public v4 plans cited at Plus $35/month, Max $60, Generative $120 and Team from $999; usage credits vary by model | Creators, marketers, agencies, education and SMBs | Funding disclosed historically; current valuation N/D | Current audited user total N/D | Makes full video assembly accessible to non-editors while offering advanced generative models in one workflow | |
29 | Murf AI; founders Ankur Edkie, Sneha Roy and Divyanshu Pandey | 200+ AI voices, voiceover studio, dubbing, translation, voice cloning and enterprise controls | Free; Creator $19/month and Business $66/month when billed annually; enterprise custom | L&D, marketing, media, product and corporate communications | Historical $10M Series A; current valuation N/D | Current comparable user total N/D | Polished business voice production with collaboration, commercial rights and enterprise security options | |
30 | Lensmatic Solutions; Indian-founded Dubverse team | AI dubbing, subtitles, translation, voice generation, cloning and multilingual studio | India: Pro ₹800/month and Supreme ₹1,100/month on public page; enterprise custom; TTS API from ₹6/1,000 characters with 5,000 free characters | Creators, media, education, marketing and localisation teams | N/D | N/D | INR plans and Indian-language video localisation make it practical for regional content teams | |
31 | AI avatars, personalised video at scale, TTS, voice cloning, landing pages and APIs | Free; Creator about $24/month; Growth $199/month; enterprise custom; developer API plan also lists $25/month | Sales, marketing, customer success, creators and developers | Historical seed funding disclosed; current valuation N/D | N/D | Personalised video generation is designed for campaigns and product integrations, not only one-off creator clips | ||
32 | Social posts, reels, ads, captions, brand kits, scheduling, competitor analysis and e-commerce creatives | Free; Core $32/month; Rise $79/month; Enterprise $249/month on its 2026 help page | SMBs, D2C brands, social teams and agencies | N/D | Company pages report 500,000+ users and 200M+ pieces of content generated | Combines generation, brand editing, competitor insight and publishing in one social-media workflow | ||
33 | NeuralGarage; founders Mandar Natekar, Subhabrata Debnath, Anjan Banerjee and Subhashish Saha | Adjusts lips and facial movement to dubbed audio while preserving performance and resolution | Custom studio or enterprise quote | Film, streaming, broadcasting, advertising and learning-content producers | $1.45M seed funding disclosed; valuation N/D | Consumer users N/D; technology has been used in released film and streaming productions | Solves the specific visual mismatch in dubbed content instead of only translating the soundtrack | |
34 | TrueFoundry; Indian-founded engineering team | AI gateway, model routing, observability, governance, MCP gateway, deployment and VPC/air-gapped options | Developer free; Pro $499/month; Pro Plus $2,999/month; enterprise custom | AI engineering, platform and governance teams | $19M Series A announced in January 2026; valuation N/D | Users/customers N/D | A developer-focused control plane for deploying and governing models across providers and environments |
4. Healthcare AI created by Indian teams
Medical AI should support qualified clinicians, not replace diagnosis. Procurement requires local regulatory, clinical-validation, privacy, security and workflow review.
No. | Tool and website | Owner or creator | Main features | Public pricing | Target audience | Public valuation, funding or ownership signal | Public reach signal | Why it stands out |
35 | Qure.ai; founders Prashant Warier and Pooja Rao | AI interpretation and triage for chest X-rays and CT scans, supporting TB, lung cancer and stroke pathways | Custom healthcare or programme quote | Hospitals, radiology networks, pharma and public-health programmes | Reuters reported $125M raised and a $264M November 2024 valuation from Tracxn | About 15M patients served annually, according to the CEO in 2025 | One of the most widely deployed Indian medical-imaging AI companies, with global regulatory and clinical adoption | |
36 | NIRAMAI Health Analytix; founders Dr Geetha Manjunath and Nidhi Mathur | Privacy-aware, portable, radiation-free thermal breast screening using patented AI | Public page: Thermalytix software ₹14 lakh, hardware ₹14 lakh, Mythri ₹9.5 lakh and home screening ₹3,000; deployment terms vary | Hospitals, clinics, screening programmes, employers and NGOs | About $7M funding reported historically; valuation N/D | Company reports 500,000+ women screened in 22+ countries | Addresses access, privacy and portability barriers in breast screening, particularly for outreach settings | |
37 | SigTuple; founders Rohit Kumar Pandey, Tathagato Rai Dastidar and Apurv Anand | Robotic AI microscopy for blood-smear and urine analysis; cell classification, morphology flags, visual evidence and remote pathologist review | Custom device and enterprise quote | Diagnostic labs, hospitals and pathology networks | Funding disclosed across multiple rounds; current valuation N/D | Current comparable installed-base or test count N/D | Combines robotics, imaging and explainable cell-level evidence instead of producing a black-box score | |
38 | Tricog; founders Dr Charit Bhograj, Udayan Dasgupta and Zainul Charbiwala | Connected ECG, AI triage, 24/7 cardiologist reporting, echocardiography and remote cardiac care | Custom device, service or programme quote | Clinics, hospitals, diagnostics, ambulances, state health programmes and pharma | Funding disclosed historically; current valuation N/D | Company reports 38M+ patients screened, 25,000+ healthcare professionals and presence in 14+ countries | Joins AI screening with clinicians and care coordination, crucial when minutes matter in cardiac care | |
39 | Turtle Shell Technologies; founders Mudit Dandwate and Gaurav Parchani | Contactless continuous vital monitoring, AI early-warning scores and central monitoring for hospital beds | Custom per-bed or enterprise quote | Hospitals, wards, step-down ICUs and public-health systems | $6M Series A2 disclosed in 2022; valuation N/D | A 2022 public figure reported 6,000 beds in 300 hospitals; verify the current installed base with the company | Converts ordinary beds into continuously monitored beds without attaching a wearable sensor | |
40 | DeepTek — Augmento | DeepTek Medical Imaging | Radiology workflow, teleradiology, PACS connectivity and AI chest X-ray analysis | Pay-per-use or custom quote; free trial offered for selected platform access | Hospitals, imaging centres, radiologists and public screening programmes | $10M funding round disclosed; valuation N/D | Company reports 500+ hospitals and imaging centres; Augmento pages cite 100,000+ scans/month | Pairs AI models with operational radiology workflow and reporting infrastructure |
41 | Wysa; founders Jo Aggarwal and Ramakant Vempati | AI-guided mental-wellbeing conversations, CBT-style exercises, navigation, coaching and employer/health-system programmes | Consumer app has free access and paid options; employer, insurer and health-system pricing custom | Individuals, employers, insurers, universities and health systems | $20M Series B announced in 2022; current valuation N/D | Company reports 6M+ users, 1B supportive AI conversations and 11M lives covered | Clinically oriented and privacy-conscious mental-health support at population scale; it is not an emergency service or therapist replacement |
5. Education AI
No. | Tool and website | Owner or creator | Main features | Public pricing | Target audience | Public valuation, funding or ownership signal | Public reach signal | Why it stands out |
42 | Indiavidual Learning; founder Aditi Avasthi; owned by Reliance | AI-personalised learning, diagnostic tests, practice, 3D content and preparation for 400+ exams in English and Indian languages | Seven-day trial; app listed Achieve Now ₹899/month, Sprint ₹2,599/quarter and Unlimited ₹8,499/year; offers change | School students and learners preparing for engineering, medical, government and competitive exams | Reliance-owned; no meaningful standalone public valuation | Current audited active-user number N/D | Broad Indian exam coverage, multilingual content and diagnostic learning rather than a generic AI tutor | |
43 | ConveGenius; founders Jairaj Bhattacharya and Shashank Pandey | Education bot platform, personalised adaptive learning, assessments and state education dashboards | Learner app free; state and institutional deployments custom | State governments, schools, teachers and students, including low-connectivity communities | Funding disclosed historically; current valuation N/D | ConveGenius reports 150M learner profiles impacted and state deployments across India | Designed for large public-education systems and last-mile learning rather than only premium urban users |
6. Banking, compliance and identity AI
No. | Tool and website | Owner or creator | Main features | Public pricing | Target audience | Public valuation, funding or ownership signal | Public reach signal | Why it stands out |
44 | Lithasa Technologies; founders Vinay Kumar Sankarapu and Deekshith Marla; majority-owned by Aurionpro Solutions | BFSI-specific model APIs, underwriting and fraud tools, document/KYC analysis, fine-tuning and explainable-AI governance | Custom quote | Banks, lenders and insurers | Aurionpro invested about $16.5M for a 67% stake plus capital infusion in 2024; this is a transaction value, not a disclosed valuation | More than 100 banks and insurers were reported using its solutions | Long BFSI specialisation and governance tools for high-stakes, regulated model decisions | |
45 | Signzy Technologies; founders Ankit Ratan, Arpit Ratan and Ankur Pandey | KYC, KYB, identity and bank-account verification, AML screening, contracting and transaction monitoring | Pay-as-you-go modular APIs and custom enterprise pricing | Banks, fintech, insurance, payments, wealth, remittance and regulated platforms | $26M funding round led by Gaja Capital announced in 2022; valuation N/D | Company reports 1,800+ financial and technology institutions; its Aadhaar eSign page cites 50,000+ eSigns/day | Wide compliance workflow and API coverage for Indian and cross-border onboarding | |
46 | HyperVerge; founded by an IIT Madras alumni team | Face match, liveness, document intelligence, AML, V-CIP and end-to-end onboarding; low-bandwidth support | One-month sandbox trial; Start, Grow and Enterprise prices custom | Banks, NBFCs, fintech, insurance, telecom, gaming and government | Privately held; current valuation N/D | Company reports 1B+ customers verified and compatibility with 100,000+ devices | Indian-face and document experience, low-bandwidth design and large-scale verification evidence |
7. Agriculture, earth intelligence, food quality and video analytics
No. | Tool and website | Owner or creator | Main features | Public pricing | Target audience | Public valuation, funding or ownership signal | Public reach signal | Why it stands out |
47 | Cropin; founder and CEO Krishna Kumar | Farm digitisation, plot intelligence, crop monitoring, yield and risk prediction, traceability, data hub and agentic agriculture AI | Custom enterprise quote | Agribusiness, food companies, lenders, insurers, governments and development organisations | $14M funding round announced in 2023; valuation N/D | Company reports 30M acres digitised, 7M farmers and intelligence spanning 100+ countries | One of India's most mature agriculture data and AI platforms, grounded in long-running field data | |
48 | SatSure — SatSource and Dhaarini | SatSure Analytics; co-founder and CEO Prateep Basu | Satellite and aerial data, parcel-level crop intelligence, agri-credit risk, infrastructure monitoring and sovereign Earth-observation models | Custom data, report or enterprise quote | Banks, insurers, government, agriculture, infrastructure, utilities and climate teams | $15M Series A announced in 2023; ₹24.6 crore IN-SPACe grant in 2026; valuation N/D | Company reports 85M hectares analysed annually, 2.1M farmers impacted and 195,000 villages monitored monthly | Converts geospatial imagery into decision data for Indian lending, agriculture and public infrastructure |
49 | AgNext — Qualix | AgNext Technologies | AI-enabled food-quality assessment using hardware, computer vision, spectroscopy and software; traceability and procurement analytics | Custom enterprise quote | Food processors, traders, warehouses, government, exporters and agribusiness procurement teams | Funding disclosed historically; current valuation N/D | Current comparable user count N/D | Moves AI into physical commodity inspection, delivering on-site quality results in about 30 seconds |
50 | Staqu Technologies; founders Atul Rai, Anurag Saini and Pankaj Sharma | Camera-agnostic video and audio analytics, intrusion/fire detection, ANPR, facial and person recognition, queues, footfall and compliance alerts | A 2025 industry profile reported roughly ₹2,000–₹8,000 per camera/month by use case; obtain a current official quote | Retail, manufacturing, hospitality, healthcare, smart cities, infrastructure, police and prisons | N/D | Company reports 200+ active clients, deployments in nine countries and processing of 400,000+ frames/second | Adds security and operational intelligence to existing CCTV without requiring wholesale camera replacement |
Best Indian AI tools by use case
Need | Shortlist | What to test before buying |
Indian-language chat, speech and translation | Sarvam AI, BHASHINI, Reverie, BharatGPT, AI4Bharat, Soket | Accuracy for your exact languages, accents, dialects, code-switching and domain vocabulary |
Sovereign or India-hosted AI | Sarvam AI, BharatGPT, JioBrain, Neysa, Krutrim, BHASHINI | Contracted data location, subprocessors, model-training policy, VPC/on-premises support and exit plan |
Customer-service agents | Yellow.ai, Haptik, Gupshup, Gnani.ai, Observe.AI, Convin | Resolution rate, transfer quality, hallucination controls, latency, channel cost and human fallback |
WhatsApp sales and support | AiSensy, Interakt/Haptik, Gupshup, LimeChat | Meta fees, template rules, consent, opt-outs, commerce integrations and total message volume |
Employee support | Leena AI, Atomicwork, Zoho Zia | Permissions, HR/IT integrations, audit logs, content freshness and measurable ticket deflection |
Video and voice content | InVideo AI, Murf AI, Dubverse, Gan.ai, Predis.ai, VisualDub | Commercial rights, consent for cloned voices/faces, watermark, language quality and per-output cost |
Documents and workflow automation | Nanonets, Sarvam Vision, Signzy, Arya.ai | Field accuracy, exception handling, human review, integration effort and cost per completed document |
Healthcare | Qure.ai, NIRAMAI, SigTuple, Tricog, Dozee, DeepTek, Wysa | Regulatory status, peer-reviewed evidence, intended use, clinician oversight, privacy and local support |
Education | EMBIBE, SwiftChat, BharatGen, BHASHINI | Curriculum alignment, child safety, teacher controls, language coverage and outcome evidence |
Agriculture and geospatial intelligence | Cropin, SatSure, KissanAI, AgNext | Ground truth, seasonal/local calibration, offline workflow, explainability and farmer consent |
How to choose an Indian AI tool without buying the demo
1. Begin with one measurable workflow
Do not start with “deploy AI across the company.” Start with a defined queue: first-response support, invoice extraction, crop-loan verification, call-quality review or translation of a fixed document set. Record the present time, cost, error and escalation rate.
2. Test with Indian reality
Use your own samples: Hinglish calls, names and addresses, low-quality scans, regional scripts, noisy audio, mobile bandwidth and the specialist terms used by your teams. A polished English demo is not proof of production performance in India.
3. Calculate total cost per completed outcome
Token, minute or message pricing is only one component. Include implementation, integrations, model evaluation, human review, Meta/carrier charges, compute, storage, taxes, support and retraining. Compare cost per resolved ticket, approved application, accurate report or finished video.
4. Ask what happens to your data
Obtain written answers on data location, retention, encryption, subprocessors, training on customer data, deletion, access control, audit logs and breach response. “Made in India” is not automatically the same as “all data remains in India.”
5. Keep human approval for high-impact decisions
Medical diagnosis, lending, insurance, hiring, disciplinary action, benefits eligibility, policing and identity decisions need domain review, documented appeal routes and monitoring for bias and failure. AI can prepare or prioritise a decision without becoming the unaccountable decision-maker.
6. Run a time-boxed pilot with exit criteria
A useful pilot has a baseline, a representative test set, target metrics, named owners, security approval and a stop condition. If the tool misses the agreed accuracy, adoption, cost or risk threshold, redesign or exit rather than scaling sunk cost.
Frequently asked questions
Which is the best AI tool made in India?
There is no universal winner. Sarvam AI is a strong general shortlist for Indic models and APIs; BHASHINI and AI4Bharat are important public/open language resources; Yellow.ai, Haptik, Gupshup and Gnani.ai specialise in conversations; Qure.ai and NIRAMAI address healthcare; Cropin and SatSure focus on agriculture and geospatial intelligence. Choose using a real workflow and test set.
Does India have its own ChatGPT alternative?
India has several general or multilingual assistants and model platforms, including Sarvam Indus, Kruti/Krutrim, BharatGPT and Hanooman. They differ in model ownership, current availability, language support, hosting and enterprise controls, so the phrase “Indian ChatGPT” is too broad for procurement.
Which Indian AI tools are free?
AI4Bharat IndicTrans2 is open source. BHASHINI offers public access to language services. Several commercial tools provide free tiers or credits, including Sarvam AI, Yellow.ai, AiSensy, Nanonets, InVideo AI, Murf AI, Gan.ai, Predis.ai and TrueFoundry. Free tiers have usage, licensing or support limits.
Are the published user numbers independently audited?
Usually not. Many figures come from vendor websites or interviews, and each company defines reach differently. This article labels them as public reach signals and avoids treating customers, API calls, patients and users as the same metric.
Why are so many valuations marked N/D?
Private companies do not have to publish current valuations. Funding raised, annual revenue, an investor's carrying value and an acquisition price for a partial stake are different numbers. Marking a field N/D is more accurate than inventing or recycling an old valuation.
Can Indian companies use these tools for sensitive data?
Potentially, but only after security, legal and technical review. Confirm India-region or on-premises availability where required, verify data-processing agreements and retention, test access controls and logging, and apply the Digital Personal Data Protection Act and sector-specific obligations to the actual use case.
About the curator
Parikshit Khanna is an AI and digital-skills trainer who works with professionals, educational institutions and corporate teams. This directory is intended as a research starting point for comparing Indian AI products; inclusion is not an endorsement, investment recommendation or substitute for product, security, legal or medical due diligence.
Editorial sources and verification links
Editorial note: Prices, free tiers, user claims and product names change. Recheck the linked official page and request a written quote before purchasing. No company paid for placement in this draft.
