Google has announced the latest cohort of its “Google for Startups Accelerator: AI First” in India, selecting 20 companies from over 1,600 applicants. The program is aimed at helping founders move beyond early hurdles and scale impactful AI solutions across industries.
India has rapidly emerged as the world’s second-largest hub for generative AI startups, following a 3.7x growth in its GenAI landscape. This momentum is now translating into tangible business impact. Entri, an edtech platform and past accelerator alumni, used Google’s Gemini models to improve user retention by 20%, highlighting how lean AI firms can achieve meaningful revenue gains.
Tackling Real-World Problems with AI
The latest cohort reflects how AI is shifting from incremental use cases to solving structural challenges in sectors like healthcare, climate, and finance. Nearly half of the selected startups are working on agentic AI (45%), while others focus on multimodal AI (30%) and foundational or Responsible AI models (25%) directly aligning with the Indian government’s IndiaAI Mission.
“Startups are our co-creators in building the future of AI,” said Darren Mowry, VP of Global Startups at Google Cloud. “By combining their vision with Google Cloud infrastructure, Gemini models, and expert guidance, we believe they can deliver scalable, impactful, and responsible AI solutions that set new industry standards.”
Abhishek Singh, Additional Secretary at MeitY and CEO of the IndiaAI Mission, noted that the program strengthens India’s position as a global AI leader. “The cohort’s focus on agentic and multimodal AI aligns perfectly with the core pillars of the IndiaAI Mission. This is a strong example of how large tech firms can boost the nation’s AI startup ecosystem,” he said.
The 20 Startups Selected
The companies span across enterprise tech, fintech, healthcare, climate, marketing, and developer tools. Highlights include:
- Adya AI (Enterprise Tech): A full-stack agentic AI platform enabling enterprises to build and scale secure, composable solutions.
- Aignosis (Healthcare): A webcam-based autism screening tool for early, affordable detection of neurodevelopmental disorders.
- AiSteth (Healthcare): A smart AI-powered stethoscope targeting early detection of cardio-respiratory conditions.
- Apptile (DevTool): An agentic developer platform for rapid design and deployment of mobile apps.
- Dview (FinTech): An AI-native data platform for unified insights and proactive business decisions.
- Knit (DevTool): Enables AI agents to connect seamlessly with APIs, MCPs, and enterprise data for workflow automation.
- Mili AI (FinTech): Provides intelligent back-office assistance for wealth firms.
- Mysa (FinTech): An AI-powered OS that unites business payments, approvals, and accounting.
- MyWonder (Education): A conversational play companion with age-appropriate learning content.
- ORBO AI (Fashion): A vertical AI OS for beauty, offering virtual try-ons and personalized recommendations.
- Phot.AI (Marketing Tech): Automates and personalizes creatives for e-commerce sellers.
- Protecto (Cybersecurity): Secures enterprise data in GenAI by protecting AI context and compliance.
- Pulse (Enterprise Tech): A feedback intelligence platform for turning customer insights into business decisions.
- Resilience AI (ClimateTech): Provides AI-driven risk intelligence to boost disaster preparedness.
- Segmind (DevTool): Automates media generation for creative agencies.
- Sortment (Marketing Tech): Builds AI agents to automate and personalize marketing at scale.
- Sparky AI (Education): A voice-first English fluency companion for learners.
- Superjoin (Productivity): An AI spreadsheet assistant designed to make users 10x more productive.
- Vaani AI (Research): Building a foundational model for natural voice AI integration across products.
- VideoSDK (Communication Tech): Real-time AI agents that can listen, speak, see, and take action.
Why It Matters
By combining infrastructure, mentorship, and go-to-market support, Google’s accelerator aims to give startups the tools to address systemic challenges with AI at scale. For India’s AI ecosystem, this not only fuels innovation but also helps bridge the gap between research and real-world deployment.
The 20 selected startups represent the next wave of AI innovation in India one that blends ambition with impact.
Also Read: Mercedes-Benz Hurun India Wealth Report 2025: What Startups Can Learn from India’s New Millionaires
