Breaking news

India Revamps Deep Tech Startup Framework With New Capital Support

India is making a bold strategic shift in its deep tech landscape by adjusting startup regulations and directing public capital towards sectors that demand sustained development, including space, semiconductors, and biotech.

Extended Timeline For Deep Tech Maturation

The Indian government has recently updated its startup framework, as announced by the Press Information Bureau. The period during which deep tech companies enjoy starter benefits has been doubled to 20 years, and the revenue threshold for specialized tax breaks, grants, and regulatory benefits has increased from ₹1 billion to ₹3 billion (approximately $33.12 million). This recalibration is designed to align policy parameters with the long gestation periods inherent in science- and engineering-driven enterprises.

Public Capital And the RDI Fund

Alongside regulatory reforms, New Delhi is expanding public investment in research and innovation. The ₹1 trillion Research, Development and Innovation Fund is intended to provide long-term financing for technology-intensive companies. The initiative is supported by the creation of the India Deep Tech Alliance, a network of U.S. and Indian venture capital firms including Accel, Blume Ventures and Kalaari Capital, with advisory input from Nvidia. The goal is to ease fundraising pressures and improve access to follow-on capital.

Addressing The False Failure Signal

The extension of regulatory benefits addresses a long-standing issue in the deep tech sector. As Vishesh Rajaram, founding partner at Speciale Invest, explained, the previous framework risked penalizing pre-commercial companies by forcing them to exit startup status prematurely. The new reforms recognize the unique developmental timelines of deep tech firms, thus reducing friction in fundraising negotiations and state engagement.

Investor Perspectives And The Funding Landscape

While regulatory clarity enhances investor confidence, funding beyond early stages remains a significant hurdle. Arun Kumar, managing partner at Celesta Capital, emphasized that the RDI Fund’s role is to deepen support for capital-intensive ventures without compromising the commercial metrics that guide private investments. Siddarth Pai of 3one4 Capital noted that the revised framework also avoids the traditional “graduation cliff” that once isolated companies at critical growth junctures, potentially deterring them from scaling domestically.

Deep Tech Funding Trends And Global Comparisons

India’s deep tech sector remains smaller than those of the United States and China, but recent data shows renewed momentum. According to Tracxn, Indian deep tech startups raised about $1.65 billion in 2025, up from roughly $1.1 billion in previous years. The increase aligns with national priorities in advanced manufacturing, defense technology, climate solutions and semiconductor production.

Long-Term Implications And Global Competitiveness

For international investors, the reforms signal a longer-term policy commitment. Extending the startup lifecycle reduces regulatory uncertainty and supports investment strategies that depend on extended research and product development phases. Analysts suggest the changes bring India closer to funding models commonly seen in the U.S. and Europe.

Ultimately, the effectiveness of the reforms will depend on whether they lead to a critical mass of globally competitive Indian deep tech companies. A more mature ecosystem could encourage domestic listings and reduce the need for startups to relocate abroad.

India’s regulatory and financial adjustments aim not only to solve immediate operational challenges for founders but also to build a stronger foundation for long-term technological competitiveness.

Copyright Law Struggles To Keep Up With AI Training

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

Uol
eCredo
The Future Forbes Realty Global Properties
Aretilaw firm

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter