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NVIDIA’s Inception program, launched in 2016, is a virtual incubator designed to support startups with ideas in AI and data science.
Today, it has grown to include over 2,000 startups. At NVIDIA AI Summit 2024, around 50 Indian startups are showcasing their AI innovations, with panels, pitches, and insights from venture capital firms.
Conversational AI with CoRover.ai
Bengaluru-based BharatGPT maker startup CoRover.ai serves over a billion users with its LLM-based conversational AI platform, offering text, audio, and video agents in over 100 languages. Supported by NVIDIA Inception, CoRover powers virtual assistants for clients like Indian Railways on many of its customer platforms.
Their chatbot, AskDISHA on IRCTC, handles over 150,000 daily queries, assisting 175 million passengers with ticket bookings, refunds, and more, across multiple Indian languages, including Hindi, Gujarati, and Hinglish.
This has boosted customer satisfaction by 70%. CoRover’s AI tools, built with NVIDIA NeMo and running on cloud-based NVIDIA GPUs, automatically scale resources during peak times, such as when train tickets are released.
The CEO of CoRover, Ankush Sabharwal said, “NVIDIA AI technology enables us to deliver enterprise-grade virtual assistants that support 1.3 billion users in over 100 languages.”
VideoVerse, based in Mumbai with global offices, uses AI to revolutionise sports media content creation, serving clients like the Indian Premier League and Vietnam Basketball Association.
“Short-form video highlights that can be easily shared on social media can also help lesser-known sports gain audience attention and grow their fanbases,” said VideoVerse CEO Vinayak Shrivastav. “AI-assisted content creation makes it feasible for emerging sports like longball and kabbadi to raise awareness with a limited marketing budget.”
Its AI-powered platform, Magnifi, generates game highlights up to 15x faster, boosting viewership and enabling smaller sports like longball and kabaddi to grow their fanbase on limited budgets. Magnifi leverages vision analysis, natural language processing, and optical character recognition to streamline editing, detect key moments, and trackball movement. VideoVerse utilises NVIDIA CUDA libraries and Tensor Core GPUs to accelerate AI models for image, video understanding, and speech recognition.
Improving Enterprise Efficiency with Fluid AI
Fluid AI, a Mumbai-based startup, provides generative AI chatbots, voice bots, and APIs to enhance enterprise efficiency. These tools leverage an organisation’s knowledge base to deliver insights, reports, and accurate answers. Fluid AI’s chatbots improve customer service by boosting agent productivity and reducing response times with real-time outputs.
They can also support sales teams, generating tasks like slide decks in under 15 seconds. The company uses NVIDIA’s NIM microservices, NeMo platform, and TensorRT inference engine to offer scalable, custom AI solutions. Fluid AI is further developing voice experiences using NVIDIA Riva microservices, aiming to reduce latency and enhance quality.
“Our work with NVIDIA has been invaluable — the low latency and high fidelity that we offer on AI-powered voice calls come from the innovation that NVIDIA technology allows us to achieve,” said Abhinav Aggarwal, founder of Fluid AI.
Empowering Communities Through Multilingual AI Tasks with Karya
Karya, a Bengaluru-based platform, enables low-income and marginalised communities in India to earn income by completing language-based tasks for multilingual AI development. Nearly 100,000 workers record voice samples, transcribe audio, and verify AI-generated sentences in their native languages, earning up to 20 times India’s minimum wage.
Contributors also receive royalties when datasets are sold. Karya’s efforts help accelerate AI development for non-English speakers, using NVIDIA’s NeMo and NIM platforms to build custom AI models for businesses.
A notable project includes collaboration with the Bill and Melinda Gates Foundation to create the largest open-source, gender-intentional AI dataset in Indic languages, employing over 30,000 women across six language groups. This dataset will support AI applications in agriculture, healthcare, and banking, enhancing both economic opportunities and multilingual AI solutions across India.
“By fairly compensating these communities for their digital work, we are able to boost their quality of life while supporting the creation of multilingual AI tools they’ll be able to use in the future,” said Manu Chopra, CEO of Karya.
This is what Jensen Huang meant when he said at the keynote – “Start local, go global.”
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