India AI Impact Summit: Startups showcasing solutions for enterprise, healthcare, education, and more

At the recent AI Impact Summit in India, several startups showcased how artificial intelligence is moving beyond demos and into real-world use across healthcare, education, manufacturing, fintech and enterprise services. As investors position India as a global hub for practical AI use cases, these companies highlighted products that are already live at scale, while others are preparing for launch.

Mumbai-based Navana.ai, founded in 2018 by Raoul Nanavati and Jai Nanavati, is building voice AI solutions for enterprises, especially in the BFSI sector. Its platform enables companies to deploy voicebots, transcription tools and real-time analytics systems. The startup offers a voice AI contact centre platform, a speech recognition API and a contact centre intelligence API. Navana.ai develops its own speech recognition and text-to-speech models in-house and plans to introduce small language models later this year. The company currently processes around 100 million calls annually and supports 15 Indian languages.

Founded in 2015 by Rohit Verma, Aalgorix has been working in the education sector for nearly a decade. After earlier focusing on AR/VR and extended reality, the company has spent the past two years building AI capabilities. It has developed an AI-powered interactive toy for children under 15 that engages them through conversations, mentoring and play, aligned with school syllabi. The product is expected to launch within the next two months and will be sold through toy stores.

US-based Janus, founded in 2025 by Shivum Pandove and Jet Wu, helps companies test the reliability of their AI systems before deployment. The platform creates simulated environments to evaluate how AI agents handle real-world scenarios, identifying gaps in logic, rule-following and tool usage. Backed by Y Combinator, Janus mainly serves enterprise clients and claims it can reduce testing timelines from months to days. It operates on a pay-per-test model and is exploring expansion into India.

Gurugram-based Proxgy, founded in 2020 by Pulkit Ahuja, develops IoT-based products for industrial and blue-collar workers. Its flagship product is a smart helmet equipped with a camera, flashlight, gas sensors, GPS and other safety tools, enabling hands-free operations and workplace monitoring. The company, backed by Peyush Bansal, holds over 100 patents across India and the US and sells globally. Proxgy has also introduced a smart cargo lock that uses cellular, Bluetooth and satellite connectivity to provide real-time tracking and security updates.

Founded in 2025 by Ashutosh Thakur, Shoaib S Attar and Priyansh Jain, Neurema is developing a wearable device designed to track attention in real time. The device detects lapses in focus and delivers calibrated binaural frequencies to help users regain concentration. Using pupillometry and neuroscience-based feedback, the product is still in development as the company seeks further research and funding.

Delhi-based Radai, founded in 2025 by Bharat Aggarwal, Kshitij Jadhav and Aniket Aman, is building AI tools for radiologists and hospitals. Its software integrates into existing hospital workflows and has been clinically tested. In one validation study, doctors accepted the AI’s results without changes in 92% of cases. The company currently offers solutions for breast cancer detection, bone and joint measurement, and early cognitive decline assessment.

Founded in 2020 by Vikalp Sahni and Dilip Tuli, Eka Care is developing a multilingual medical scribe platform designed to work even in low-connectivity settings. Backed by 3one4 Capital and Verlinvest, the company is also building an offline-capable version that runs on local systems to address privacy concerns and patchy internet access. In partnership with Nvidia, Eka Care is working on low-latency, real-time transcription. Beyond medical documentation, it provides digital health infrastructure including electronic medical records, e-prescriptions, appointment management and patient engagement tools.

Together, these startups reflect a broader shift in India’s AI ecosystem — from experimental projects to scalable solutions built for real-world deployment across industries.