Wednesday, 24 June 2026
In an exclusive interaction with AgroSpectrum, Jaisimha Rao, Founder and CEO of Niqo Robotics explains how Niqo Robotics builds a profitable path in farm automation through farmer-centric innovation.
The Companies combining intelligence with action will define agriculture’s future and how Niqo Robotics is taking India-built Physical AI to farms across the World. Selected from 2,000 Startups at Bharat Innovates 2026, Niqo Robotics champions India’s rise in agricultural robotics. Built in India for global agriculture, Niqo’s platform reflects how Indian deep-tech is moving from lab-led innovation to commercially deployed products capable of competing in demanding international markets.
He also argues that as Physical AI moves into agriculture, the winners will be those who can deliver robots that are reliable, affordable, and seamlessly integrated into existing farm operations. Physical AI represents one of the most important shifts in the future of global agriculture. Over the last decade, the industry has embraced digital tools, data platforms, and analytics. The next leap is bringing intelligence into physical field operations, enabling machines to not only generate insights, but act on them autonomously in real time. Edited Excepts:
Niqo Robotics was selected from over 2,000 applicants to represent India at Bharat Innovates 2026. What does this recognition mean for the company at this stage of its growth journey?
Being among the select 120 deeptech startups from a pool of 2000 to represent India at Bharat Innovates strongly validates our value proposition. For Niqo, this comes at a pivotal stage as we gear up for global scaling having commercialised our AI powered farm robots successfully in North America. Our selection also signals that a Made in India physical AI company can compete and win on the global stage. India’s physical AI moment is here and Niqo is proud to be entrusted as one of the flagbearers.
How can India position itself as a global hub for agricultural robotics and Physical AI innovation?
India has a unique opportunity to emerge as a global leader in agricultural robotics and Physical AI. Our diverse and complex farming ecosystem, deep engineering talent, and rapidly growing deep-tech startup ecosystem create the ideal foundation to build technologies that can compete globally. If we can develop robots that perform reliably in India’s fragmented, cost-sensitive, and varied agricultural conditions, those solutions can be adapted for farms around the world.
Realizing this opportunity will require stronger collaboration between startups, farmers, research institutions, manufacturers, and policymakers, along with greater access to field-testing infrastructure, patient capital for hardware innovation, and support for global market expansion. Agricultural robotics cannot be built in laboratories alone, it must be developed alongside farmers, across seasons, and under real-world conditions. India’s diversity gives us that advantage. If we translate it into scalable products, India can lead the next wave of Physical AI in agriculture and establish itself as the global hub for agricultural robotics .
How do you plan to localise your technology and business model for different agricultural markets across the globe?
Agriculture is inherently local, and localisation is central to how we build and deploy our technology. Every market has unique crops, farm sizes, labour dynamics, soil conditions, regulations, and farmer expectations. That is why our AI-powered platforms are designed with modularity at their core, allowing us to configure them for specific crops, geographies, and use cases.
Localisation extends beyond the machine itself. We ensure critical spare parts are stocked locally to minimise downtime and work closely with dealers and partners who already have trusted service networks and deep market understanding. At the same time, our machine learning models become smarter with every acre covered, continuously learning from field data to improve accuracy and performance season after season. This enables us to combine global scale with local relevance, delivering solutions that are both technologically advanced and commercially practical.
How do rising labour costs, sustainability mandates, and restrictions on chemical herbicides create opportunities for precision farm robotics in Europe?
Europe is a highly relevant market for precision farm robotics, as growers face increasing pressure from rising labour costs, labour shortages, and tightening sustainability requirements.
This creates a compelling opportunity for AI-powered robots that can apply chemicals sustainably at the plant level and serve as an attractive alternative to labour-intensive weeding. They address multiple challenges simultaneously, including labour shortages and sustainable chemical use, while delivering faster ROI. For Europe, the value proposition extends beyond automation. It is about making agriculture more efficient, compliant, and sustainable, while safeguarding farmer profitability.
What role do you see Physical AI playing in the next phase of agricultural transformation globally?
Physical AI represents one of the most important shifts in the future of global agriculture. Over the last decade, the industry has embraced digital tools, data platforms, and analytics. The next leap is bringing intelligence into physical field operations, enabling machines to not only generate insights, but act on them autonomously in real time.
As agriculture faces growing labour shortages, climate pressures, and sustainability demands, Physical AI will accelerate the transition from acre-level to plant-level action. Robots that can see, decide, and execute tasks in the field will fundamentally transform spraying, weeding, thinning, harvesting, and crop care, improving input efficiency and reducing dependence on manual labour.
Agriculture’s Physical AI moment is here. The companies that can successfully combine intelligence with action will define the next generation of farming, delivering a future that is more productive, sustainable, and resilient.
What are the biggest technological barriers that still need to be overcome for widespread adoption of intelligent farm robots?
The biggest challenge in farm robotics is not building a robot that performs in a controlled environment, but one that works reliably in real-world field conditions. Agriculture is inherently unstructured, with varying crops, weather, soil conditions, lighting, and farm layouts. Robots need robust perception systems, rugged hardware, reliable actuation, and AI models that can consistently make decisions in these dynamic environments.
Equally important is operational simplicity. Farmers and field operators need machines that are easy to deploy, maintain, and service. Ultimately, technology must make commercial sense, not just technical sense. As Physical AI moves into agriculture, the winners will be those who can deliver robots that are reliable, affordable, and seamlessly integrated into existing farm operations.
The farm robotics sector globally has often struggled with commercial sustainability. How has Niqo managed to approach profitability while many competitors remain heavily capital dependent?
From the outset, we have been clear that farm robotics must be commercially viable. A technically impressive machine is not enough if it does not deliver measurable value to the farmer. Our approach has been to focus on high-value farm operations where automation can create immediate economic impact.
We have remained disciplined on capital efficiency, product design, and deployment models. Rather than building technology in isolation, we spend significant time understanding farmers’ cost structures, seasonal pressures, and return expectations. This has enabled us to develop solutions that are closely aligned with real market needs.
Which crop segments and farming regions in India are likely to lead the adoption of AI-enabled farm automation?
In India, the early adoption of AI-enabled farm automation is likely to come from crop segments. We see the strongest adoption in segments where labour intensity, input costs, and yield sensitivity are high. High-value crops such as cotton, chilli, and horticulture present compelling opportunities, as precision and timing have a direct impact on farmer economics. Regions with progressive farming communities, strong market linkages, and higher levels of mechanisation are also likely to adopt faster.
We expect early adoption in states such as Maharashtra, Karnataka, Andhra Pradesh, Telangana, Gujarat, Punjab, and Haryana, depending on the crop and use case. However, unlocking the full opportunity will require service-led models that make automation accessible to small and medium farmers. The opportunity is not limited to large farms. With the right business models, AI-enabled farm automation can become relevant across all farm sizes.
What are Niqo Robotics’ growth strategies and expansion plans for the next 5 years?
Over the next five years, our focus is to scale Niqo into a global Physical AI company built in India for agriculture worldwide. We will continue strengthening our presence in India while expanding across major agricultural markets such as North America, Europe, and Australia. Our immediate priority is to deepen commercial deployments in crop segments where our technology delivers clear and measurable ROI.
At the same time, we will continue to expand our product capabilities across precision spraying, thinning, and other field operations where plant-level intelligence can create significant value. Partnerships with farmers, growers, service providers, and distribution networks will be critical to accelerating adoption across markets. We believe India’s Physical AI moment is here, and Niqo is proud to be at the forefront of shaping the future of farming.
