Despite a massive ₹1 trillion RDIF funding pool, Indian deep-tech startups struggle to find their first major customer due to rigid government procurement rules. Experts say updating the General Financial Rules (GFR) to favor outcome-based purchasing is crucial for these companies to scale from prototypes to global competitors.
India’s push to become a global leader in deep-tech has gained momentum with the rollout of the ₹1 trillion Research, Development and Innovation Fund (RDIF). While this initiative effectively addresses the capital crunch that often stifles early-stage innovation, the sector now faces a new hurdle: the 'procurement paradox.'
Deep-tech startups, which typically focus on advanced diagnostics, specialized sensors, and proprietary materials, often possess technically sound products. However, they frequently fail to secure their first major order because government procurement processes are designed for standardized, off-the-shelf goods rather than innovative solutions. In the current system, government agencies often prioritize the lowest-cost bidder, known as the L1 model, which makes it nearly impossible for a startup offering new technology to compete with established, mass-market players.
The Need for a 'First Customer'
The state has historically played a vital role in nurturing emerging technology sectors by acting as the 'first customer.' In successful global models, governments validated early-stage technology by purchasing it for critical applications, which allowed startups to refine their products and achieve economies of scale. In India, public sector entities like the Railways and the Ministry of Defence are the most logical testing grounds for these high-potential innovations. Without a reference order from a large government body, many of these companies struggle to gain the credibility required to enter international markets or attract private sector partners.
Modernizing Procurement Rules
The General Financial Rules (GFR) act as the backbone of all public spending in India, but these rules are inherently rigid and often incompatible with the uncertainty found in research and development. The current framework mandates strict technical specifications that startups, which are essentially creating new technology standards, often cannot meet at their inception.
Industry experts argue that an enabling chapter within the GFR is essential. A shift toward outcome-based procurement would allow agencies to define the problem they need to solve rather than dictating the specific technical specifications of the solution. By focusing on performance milestones and separating the risks of process failure from technical experimentation, the government can create a safer environment for agencies to adopt cutting-edge, experimental technology.
This shift would not only provide a critical revenue stream for startups but also encourage private investment by signaling that the government is open to adopting local innovation. For investors, the key monitorable remains whether these policy changes are implemented. A move toward more flexible procurement would serve as a major catalyst for the commercialization of deep-tech solutions, potentially transforming the sector's growth trajectory and reducing the reliance on external or international technology providers.