Innovations in AI from India leave their mark

While global technology giants continue to dominate headlines with billion-dollar AI models and massive compute clusters, India sought to craft a narrative of its own at the recently concluded India AI Impact Summit 2026. Deep-tech startups — building everything from electric air taxis to autonomous delivery robots — signalled that the country’s innovation story is steadily moving beyond IT services into frontier technologies.

Yet one of the most memorable moments came not from a founder or investor, but from an eight-year-old. Ranvir Sachdeva, who began coding at the age of three and previously demonstrated his skills to Tim Cook, became the youngest keynote speaker at the summit. He spoke about the convergence of ancient Indian philosophical thought and modern artificial intelligence, drawing widespread attention.

Here is a snapshot of startups reflecting India’s emerging deep-tech ambition:

Brooklyn-headquartered Ottonomy.IO, founded in 2020 by Ritukar Vijay (CEO), Pradyot Korupolu (CTO), Ashish Gupta and Hardik Sharma, has raised $4.62 million from investors including Pi Ventures, Connetic Ventures and Branded Hospitality Ventures. The company builds fully autonomous delivery robots, known as Ottobots, designed for indoor and outdoor environments. Its flagship Ottobot 2.0 features modular compartments, 3D lidar and camera-based navigation, zero GPS dependence, and a distinctive “crab mode” that enables sideways movement in tight spaces. Managed through its cloud-based Ottumn.AI platform and offered via a Robotics-as-a-Service subscription model, the robots are deployed across hospitals, airports and industrial campuses. Clients include Moderna, Lufthansa, Munich Airport and Pittsburgh International Airport. Ottonomy was also the first company to deploy autonomous delivery robots inside a live commercial airport in the United States. Healthcare logistics, particularly lab samples and medication transport, is its near-term revenue focus.

Mumbai-based Cyringe AI, founded in 2025 by Sagar Madhani and Kushal Shah, is an AI-powered social media marketing platform targeting small businesses, MSMEs and early-stage startups. Currently bootstrapped and part of WeWork Labs Mumbai, the platform automates content creation, scheduling and optimisation while incorporating human oversight for strategic guidance. The founders say tasks that once required teams of 10 to 15 people can now be completed in minutes, with entry-level pricing starting at Rs 5,000. Cyringe AI competes with global tools such as Jasper and Copy.ai, positioning itself as a cost-effective alternative for Indian businesses.

Chennai-based The ePlane Company, founded in 2019 by Professor Satyanarayanan Chakravarthy of IIT Madras and Pranjal Mehta, is developing compact electric vertical take-off and landing (eVTOL) aircraft for urban mobility. Backed by $21.5 million from investors including Speciale Invest, Micelio and Antares Ventures, the startup aims to ease urban congestion with air taxi, air ambulance and air cargo services. It is the first private Indian firm to receive Design Organisation Approval from the Directorate General of Civil Aviation (DGCA) for its e200x air taxi, certifying safety and airworthiness standards. Multiple prototypes are under manufacturing, with flight trials expected through June 2026. The company aims to launch air ambulance services by early 2027. However, infrastructure gaps, including vertiports and charging stations, remain significant bottlenecks.

Delhi-based Chariot, founded in 2025 by Parth Sarthi and Suvrat Bhooshan — alumni of Stanford and former researchers at Google DeepMind and Facebook AI Research — is building multimodal AI systems capable of reasoning across vision, text and audio. Its flagship product, Chariot-1, is a Reasoning Speech Model currently in early access. The startup is targeting use cases including voice assistants, dubbing and localisation, audiobooks, call centres, accessibility tools and gaming, with multilingual capability at its core. However, access to large-scale compute remains a key constraint for Chariot and India’s broader ambitions in foundational AI models, particularly when competing with global labs such as OpenAI and Anthropic.

Together, these ventures underscore a broader shift underway in India’s technology landscape — from back-office services to capital-intensive, research-driven innovation. While challenges around infrastructure and compute persist, the momentum at the India AI Impact Summit suggests that India is determined to stake a claim in the next phase of the global AI race.