Add Row
Add Element
cropper
update
ColumbusRise
Columbus Rise Logo
update
Add Element
  • Home
  • Categories
    • Features
    • Business
    • Wellness
    • Family
    • Money
    • Tech
    • Culture
    • Events
    • Entertainment
February 09.2026
3 Minutes Read

How India’s Recent Startup Rules are Shaping Deep Tech Futures

People watching rocket launch, waving Indian flags, India's startup rules for deep tech.

India’s Bold New Framework for Deep Tech Startups

In a significant shift aimed at fostering innovation in science and technology, the Indian government has revamped its startup rules specifically for deep tech companies. Traditionally slow to mature, these startups often grapple with long development timelines and hefty capital requirements. The new policy doubles the duration for which these companies can be classified as startups to 20 years, along with raising the revenue threshold for tax benefits from ₹1 billion to ₹3 billion (approximately $11.04 million to $33.12 million). This restructuring aligns governmental timelines with the unique challenges faced by startups in fields such as biotech and semiconductors.

Understanding 'Deep Tech': Beyond Conventional Startups

What exactly qualifies a startup as 'deep tech'? This newly enshrined definition elucidates that deep tech startups focus on solutions rooted in advancements in scientific or engineering disciplines. These entities are typically characterized by high capital intensity, prolonged development phases, and the necessity for substantial R&D investments. According to the latest directives from the Department for Promotion of Industry and Internal Trade (DPIIT), companies spending the majority of their resources on R&D and working toward substantial new intellectual property can harness the benefits of this new framework.

The Role of Public Capital in Stimulating Innovation

The revamped policy is also bolstered by the establishment of a ₹1 trillion (about $11 billion) Research, Development and Innovation (RDI) Fund. This fund aims to enhance patient funding for science-focused and R&D-driven ventures, addressing the significant funding gap historically encountered in the sector. Experts argue that this complementary approach—combining regulatory reforms with substantial public investments—could rejuvenate India’s standing in the global deep tech arena.

Reducing the Pressure for Startups: A Safer Harbor

One of the critical criticisms of the previous startup framework was the risk of losing startup status while still in pre-commercial stages, which many founders felt created an artificial failure signal. With these changes, deep tech companies can now operate within a supportive space that acknowledges the extensive timeframes required for technological advancements. As noted by Vishesh Rajaram, a prominent partner at an Indian deep tech venture capital firm, this policy adjustment reduces friction in fundraising and engagement with government bodies, drastically improving the operating reality for new founders.

Challenges in Access to Capital: The Pending Hurdle

Despite these optimistic policy changes, potential hurdles remain, particularly access to capital. Investors have pointed out that funding depth at Series A stages and beyond remains a significant gap, specifically for capital-intensive deep tech firms. As mentioned by Arun Kumar from Celesta Capital, the primary goal of the RDI framework should be to improve early and growth-stage funding avenues for these startups, without imposing alterations to private investment standards.

Future Implications for the Deep Tech Ecosystem

An eye on the future reveals that these regulatory changes may ultimately signal a more favorable deep tech landscape for global investors. The intention is to establish long-term policy stability that encourages investment in deep tech companies that typically have lifecycles spanning seven to twelve years. According to experts, this approach mirrors strategies seen in the U.S. and European markets, where patient frameworks are prioritized for fostering innovation.

A Comprehensive Strategy for Success

For the Indian deep tech landscape to flourish, it is crucial that these policy reforms are accompanied by tangible outcomes—namely, successful deep tech companies gaining recognition on the international stage. Industry leaders have suggested that a milestone to strive for would be the emergence of a robust pipeline of Indian deep tech startups that not only thrive domestically but also compete effectively globally. Should this vision be realized, it could serve as a benchmark for measuring India’s maturation in the deep tech space over the next decade.

Call to Action: Is Your Startup Ready for the Change?

The evolving landscape for deep tech startups in India presents a unique opportunity for entrepreneurs to redefine their projects under these rejuvenated guidelines. As the ecosystem adapts to support innovation, founders should engage with these resources and prepare to leverage the new public funding initiatives. By doing this, they can position their ventures for success in an increasingly competitive global market.

Tech

0 Comments

Write A Comment

*
*
Related Posts All Posts
02.08.2026

Benchmark’s $225M Investment in Cerebras Signals AI’s Future

Update Benchmark Capital's Bold Investment in AI This week marked a significant evolution in the world of artificial intelligence as Cerebras Systems announced it had successfully raised $1 billion, reaching a staggering valuation of $23 billion. Among its key supporters in this funding round is Benchmark Capital, a name synonymous with strategic investments in technology startups. Having previously backed the company, Benchmark elevated its commitment by infusing $225 million into this latest wave of investment. This move not only bolsters Cerebras’ operations but also signals Benchmark’s confidence in the growing demand for AI hardware. The Significance of Cerebras’ Chip Design Cerebras Systems is notable for its innovative approach to chip design. Its flagship product, the Wafer Scale Engine, is a groundbreaking advancement in AI technology. Unlike traditional chips that are small fragments of silicon wafers, Cerebras’ design utilizes nearly the entire wafer, packing an unprecedented 4 trillion transistors into a single chip. This unprecedented scale allows the system to boast 900,000 specialized cores functioning in parallel, setting it apart from competitors like Nvidia. Such an architecture enables the execution of AI calculations at speeds more than 20 times faster than conventional GPU clusters, making Cerebras a formidable player in the AI landscape. Benchmark Capital’s Strategic Moves Benchmark’s decision to create two special funds dedicated to supporting Cerebras underlines the firm’s strategy to nurture high-potential tech companies while keeping its overall fund raised within the limits of $450 million. By raising the ‘Benchmark Infrastructure’ vehicles specifically for this purpose, the firm is exemplifying its role as not just an investor, but a pivotal ally in the growth trajectory of AI infrastructure. This kind of strategic investment is crucial, considering the increasing competition from established giants in the tech industry. The Multi-Billion Dollar Deal with OpenAI The funding comes at a pivotal time as Cerebras has just signed a multi-year deal with OpenAI worth over $10 billion. This agreement will see Cerebras provide a whopping 750 megawatts of computing power to OpenAI, firmly placing Cerebras in the center of AI conversations globally. Given the complexities involved in AI calculations, this partnership is poised to significantly enhance OpenAI’s capacity to process intricate queries more swiftly, thus setting a benchmark for future collaborations between AI companies and chip manufacturers. Challenges Ahead: Navigating Controversies Despite its promising advancements, Cerebras faces challenges rooted in its association with Gulf conglomerate G42, which has accounted for a substantial portion of its revenues. The potential concerns regarding national security due to G42's historical ties with Chinese technology firms have forced a review from the Committee on Foreign Investment in the United States. Such scrutiny could delay Cerebras’ initial public offering (IPO) ambitions, showcasing the delicate balance tech companies must navigate as they grow in a politically charged global landscape. The Future of AI Infrastructure: Predictions and Insights As we look to the future, the financial backing of firms like Benchmark signals an era of increasing investment in AI infrastructures. Experts predict that as AI technologies continue to integrate into various industry functions—from healthcare to automotive—the demand for robust processing capabilities will surge, fundamentally changing the landscape of technological innovation. Being on the cutting edge not only accelerates growth for companies like Cerebras but also drives broader advancements across different sectors, pushing the boundaries of what technology can achieve. Conclusion: Why It Matters to Local Entrepreneurs This wave of investment by Benchmark and the significant strides made by Cerebras highlight an essential reality for tech-savvy professionals and entrepreneurs in Central Ohio: understanding emerging technologies is crucial. As AI continues to redefine industry standards, keeping informed about the latest trends can provide invaluable opportunities for collaboration and innovation right in our backyard. For those in the startup ecosystem, now is the time to get involved and leverage these advancements to harness their potential.

02.07.2026

How Sapiom's $15M Funding Could Transform AI Financial Autonomy

Update Understanding the Future of AI in Finance As we witness the rapid evolution of technology, the financial space is increasingly becoming more integrated with artificial intelligence (AI). With startups like Sapiom stepping up to streamline transactions for AI agents, we are at an exciting juncture. The recent $15 million funding for Sapiom is not just about investment; it represents a profound shift toward operational autonomy for AI in finance. The burgeoning fintech landscape is ripe for innovation, and the evolving architecture of finance is set to redefine how companies engage with technology. The AI-Driven Financial Layer At the heart of Sapiom's mission is the establishment of a financial layer that allows AI agents to seamlessly purchase essential software and services. This innovation could allow businesses to eliminate dependencies on human intervention for numerous transactions, thus unlocking a new level of operational efficiency. As Amit Kumar, a partner at Accel, points out, these transactions are payments at their core, encompassing everything from sending SMS to spinning up cloud servers. The essence of Sapiom’s approach is to create a frictionless payment experience for AI agents, effectively merging innovation with practicality. Emerging Autonomous Finance Tools Beyond Sapiom, the rise of autonomous finance tools is transforming the way CFOs manage their operations. Innovations in predictive workflows and guided execution are shaping a new era where finance teams can automate routine tasks without sacrificing accuracy. Tools like Gaviti and High Radius are already leading the charge, assisting businesses in reducing days sales outstanding (DSO) and improving cash visibility through artificial intelligence. Addressing Compliance and Governance A critical consideration in the adoption of these technologies is the balance between autonomy and governance. As companies transition towards more autonomous systems, ensuring robust data governance and compliance will be paramount. The industry consensus indicates that without structured controls, the benefits of automation could be jeopardized. Compliance leaders are becoming integral to this shift, enforcing standards that safeguard operational efficiency while adhering to regulatory frameworks. Future Predictions: The Role of Personal AI Agents The future could see personal AI agents managing consumer transactions. The potential for characters like Alexa and Google Assistant to conduct purchases autonomously on behalf of users could revolutionize consumer interactions with technology. Companies must prepare for regulation changes and cultural shifts to support this new wave of intelligent agents. Cultural Impacts: Trusting AI Agents For consumers to embrace personal AI agents managing their purchases, fostering trust will be essential. As technology evolves and becomes embedded in daily life, perceptions of AI must shift from skepticism to trust. Businesses should invest in building transparent systems and providing consumers with control over their transactions to underpin this transition. Engagement with Local Startups In Central Ohio, as local startups like Sapiom emerge, there is a burgeoning opportunity for tech-savvy professionals to engage with these developments. Staying informed about digital trends and innovations is crucial for entrepreneurs looking to capitalize on the evolving tech landscape. By participating in startup events and tech forums, local entrepreneurs can contribute to a collaborative tech ecosystem that nurtures innovation. Conclusion: Preparing for an Autonomous Future The financial industry's landscape is changing rapidly, influenced heavily by autonomous systems and artificial intelligence. As seen with Sapiom's recent funding and the rise of autonomous finance tools, businesses must adapt or risk being left behind. By investing in these technologies, companies can pave the way for more efficient operations and improved customer experiences. As a final thought, local entrepreneurs should continue exploring these innovations and consider how they can leverage them to enhance their own operations. To stay updated on these dynamic changes in the tech landscape, explore more resources that delve into the integration of AI in finance and other sectors. Your engagement could lead to opportunities not just for personal growth but also for contributing to your local community’s economy.

02.06.2026

Sam Altman's Fiery Reaction to Anthropic's Super Bowl Ads: A Lesson in Competitive AI Marketing

Update Sam Altman's Emotional Response to Anthropic's Super Bowl Ad Campaign In a recent display of competitive tension in the AI industry, OpenAI's CEO Sam Altman voiced a strong reaction to a series of humorous Super Bowl advertisements from rival Anthropic. The commercials cleverly satirize OpenAI's announcement of introducing ads to the ChatGPT free tier, showcasing potential intrusive encounters with sponsored content during user interactions. Breaking Down the Ads That Sparked Controversy Anthropic launched four Super Bowl ads aiming to portray their offering, the Claude chatbot, as a bastion of ad-free AI assistance. One standout commercial boldly begins with "BETRAYAL," depicting a fictionalized version of ChatGPT providing bizarre advice, which concludes with a pitch for a faux cougar-dating site. The intent was clear: to portray OpenAI as a company willing to compromise user experience for ad revenue. Upon their release, the ads created a buzz, prompting Altman to admit he found them amusing at first. However, his amusement quickly turned to anger, leading him to label Anthropic as "dishonest" and "authoritarian" in a lengthy post on social media. His response reflects a deeper vulnerability within OpenAI as it grapples with monetizing vast user interest in ChatGPT while retaining user trust. The Competitive Landscape of AI Advertising As advertisement strategies unfold across AI platforms, OpenAI has positioned itself to add advertisements to the bottom of responses. This practice, Altman assures, would be clearly labeled and would not alter the core interaction in a manipulative manner—an assurance Anthropic's ads seem to contradict. However, the strategy has raised eyebrows given the ads’ depiction of a chatbot that shifts into ad mode mid-conversation. In response to Anthropic, Altman emphasized OpenAI's commitment to accessible AI, stating that they aim to serve billions of users who may not be able to pay for premium access. He accused Anthropic of targeting a wealthier demographic, further fueling the rivalry and highlighting differences in their business models. The 'Authoritarian' Accusation and Its Implications Altman's heavy-handed accusation of "authoritarian" practices against Anthropic warrants scrutiny. Anthropic has positioned itself as an AI with stringent safety practices—designed to guide and limit user actions based on ethical standards. Contrarily, OpenAI enforces its own set of content and safety policies, creating a complex dialogue around who ultimately controls AI usage. Histories of both companies play a role, with Anthropic being founded by former OpenAI executives concerned about potential AI risks. By invoking words like "authoritarian," Altman overlooks the reality of a global tech landscape often fraught with competing narratives of freedom and control, highlighting the sensitive nature of their rivalry. Turning A Marketing Strategy into an AI Battle The competitive advertising space between tech giants is not new—past examples like Apple versus Microsoft highlight how playful jabs can turn into broader media narratives. However, Altman’s emotional response has inadvertently kept the conversation alive, extending the reach of Anthropic's ad campaign far beyond what they could achieve through traditional marketing alone. With every commentary on his response, more attention is directed towards Anthropic, amplifying their narrative as the alternative choice in AI technology. This unintentional promotion during the Super Bowl period serves as a case study in how industry dynamics can shift unexpectedly as advertising strategies play out. Future Trends and What Users Can Expect As AI companies like OpenAI and Anthropic navigate these competitive waters, the real question remains: will users care about ad placements in AI interactions? While Anthropic's ad-free promise appeals to a segment of users, the reality of advertisement acceptance may vary widely. Consumers are increasingly accustomed to ad-supported models across various platforms—whether video streaming or social media. In conclusion, as both companies aim for market dominance in the AI landscape, the need for a clear value proposition for users will determine who comes out on top. As consumers demand transparency and accountability, AI companies must tread carefully or risk losing user trust during these turbulent times.

Terms of Service

Privacy Policy

Core Modal Title

Sorry, no results found

You Might Find These Articles Interesting

T
Please Check Your Email
We Will Be Following Up Shortly
*
*
*