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Harnessing AI for systemic change: Can India’s startups solve its urban and environmental crises?

15 May 2025
2 min

AI and Digital Infrastructure in India

Paul Ravindranath discusses the transformative potential of Artificial Intelligence (AI) in India, focusing on how AI is being used to optimize traffic systems and address broader systemic challenges.

Current Applications of AI

  • Traffic Management: AI systems analyze traffic patterns to optimize traffic signal timings, aiming to reduce congestion, fuel consumption, and emissions.
  • Healthcare:
    • AI algorithms assist in diagnosing diseases like diabetic retinopathy and breast cancer.
    • Companies like Niramai and Qure.ai utilize AI for non-invasive cancer screenings and improving diagnostic accuracy.
  • Agriculture:
    • Startups like CropIn use AI for yield prediction and resource optimization.
    • Farmonaut offers AI-driven farm advice to enhance food security and efficiency.
  • Environmental Management: AI tools like Flood Hub provide early warnings for floods, while mobile sensors in cities map air quality.

Challenges and Opportunities in Deep-Tech

India's startup ecosystem is evolving to tackle systemic challenges beyond urban solutions.

  • Deep-Tech Ventures: Companies are exploring advanced fields like space vehicles, robotics, and quantum computing.
  • Investment Trends: A 78% increase in funding for deep-tech startups indicates growing interest, with potential to add $1 trillion to GDP by FY30.
  • Policy and Infrastructure: Navigating policy landscapes and providing patient capital are crucial for scaling innovations.

Path Forward

The way forward requires a collaborative effort from policymakers, industry players, and the startup community:

  • Policy Support: Implement frameworks like the National Deep Tech Startup Policy and foster an environment for bold innovation.
  • Industry Role: Provide accessible AI models, cloud infrastructure, and open datasets.
  • Visionary Goals: Aim for ambitious projects akin to a "societal moonshot" to address fundamental quality-of-life challenges.

In conclusion, India's deep-tech potential, driven by AI, promises significant societal benefits if supported by stable policies, robust infrastructure, and innovative entrepreneurship.

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