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February 08.2026
3 Minutes Read

India's Bold Moves: Revamping Startup Rules for Deep Tech Success

Indian families observe rocket launch, representing India startup rules for deep tech.

The New Face of Startups in India: Deep Tech's Recognition

India is undergoing a significant transformation in its startup landscape, with new regulations aimed at deep technology enterprises. Recent changes introduced by the Department for Promotion of Industry and Internal Trade (DPIIT) have redefined what constitutes a startup, particularly emphasizing the crucial role of deep tech firms. This move is seen as a step towards fostering innovation and supporting research and development across the nation.

What is Deep Tech?

Deep tech startups are characterized by their focus on groundbreaking advancements in scientific or engineering disciplines. According to the latest guidelines, these startups are recognized if they spend a substantial portion of their budgets on R&D, own significant intellectual property, and are engaged in long-term yielding projects with uncertain timelines. With the new eligibility extending to 20 years and a turnover limit increased to ₹300 crore, this change provides a long runway for deep tech startups to innovate and grow.

Broader Eligibility for Startups

Beyond deep tech, reforms have also broadened the eligibility criteria for all startups in India. Previously, a startup needed to be within 7 years of establishment and have a turnover of less than ₹100 crore. The new framework allows startups to qualify for a full decade after their inception and raises the turnover limit to ₹200 crore. This substantial increase aims to support emerging businesses in their journey toward financial viability and innovation.

The Impact on India's Innovation Ecosystem

The revised regulations reflect India's ambition to enhance its position as a global innovation hub. Prime Minister Piyush Goyal stated that these measures would propel India's startup ecosystem into a new phase of growth. The government aims to nurture long-term research-driven enterprises while maintaining the integrity of the startup recognition process. All startups must adhere to certain restrictions to ensure that benefits flow to genuine innovations and enterprises.

Inclusion of Cooperative Societies

A notable aspect of these changes is the inclusion of cooperative societies in the startup ecosystem. By recognizing these entities, the government signals its intent to promote collective entrepreneurship, particularly in sectors like agriculture and rural development. This inclusion could lead to diversified innovation pathways and enhance collaborative growth opportunities among various sectors.

Addressing Startup Needs through Regulation

The new regulations come in response to the rising complexities faced by startups in deep tech and other research-intensive fields. Industry experts have noted the challenge of accessing financial assistance and tax benefits, especially for ventures in the early stages of development. Now, as the rules stabilize and extend benefits, startups can focus more on their core technological advancements without the constant pressure of immediate commercial success.

Challenges Ahead

While the reforms deliver optimistic advances in India's startup landscape, challenges remain. Only about 2% of over 200,000 recognized startups currently enjoy tax benefits under Section 80-IAC, indicating a significant gap in accessing these resources. Furthermore, there are restrictions to ensure that recognized entities do not engage in speculative investments, which can limit financial maneuverability for startups trying to secure capital in volatile markets.

The Future of Deep Tech in India

Looking ahead, the emphasis on deep tech positions India strategically within the global tech ecosystem, highlighting its shift from technology adoption to innovation. As the Anusandhan National Research Foundation prepares to inject ₹1 lakh crore into R&D through the Research and Development Innovation (RDI) Fund, there is potential for significant advancements in deep technology applications ranging from artificial intelligence (AI) to robotics.

A Call to Action

For young tech enthusiasts and budding entrepreneurs, the evolving startup regulations present a unique opportunity to explore innovations that redefine industries. Engaging with the deep tech sphere can yield not only entrepreneurial success but also contribute to the larger narrative of India’s position as a tech innovator on the world stage. Dive deep into these changes, stay informed about the latest tech trends, and imagine how the next wave of startups might reshape our future.

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02.07.2026

Benchmark’s $225M Investment in Cerebras: What It Means for AI Technology

Update The Rise of Cerebras: A New Era in AI Chip Technology This week, Cerebras Systems made headlines by raising an impressive $1 billion in fresh capital, raising its valuation to a staggering $23 billion. What’s particularly noteworthy is that one of its earliest backers, Benchmark Capital, significantly fueled this growth with at least $225 million. Known for its innovative approach to chip design, Cerebras is carving a unique niche in the competitive AI infrastructure landscape. Benchmark's Strategic Investment Benchmark Capital’s substantial investment underscores its strong belief in Cerebras' potential. Having initially led the startup’s Series A round back in 2016, Benchmark consistently demonstrates its commitment to supporting groundbreaking technologies. The latest funding comes through two specially created vehicles named 'Benchmark Infrastructure', reflecting a targeted investment strategy designed to capitalize on Cerebras’ promising developments. How Cerebras Stands Out in the AI Chip Race What truly distinguishes Cerebras is the physical scale and architecture of its products. Its flagship chip, the Wafer Scale Engine, spans approximately 8.5 inches and contains 4 trillion transistors, unlike traditional chips that are fragmentary. This unique design facilitates the operation of up to 900,000 cores simultaneously, drastically accelerating AI processing speeds. The technology allows for a staggering performance boost—over 20 times faster for AI inference tasks compared to conventional GPU clusters, making it a formidable competitor to industry giant Nvidia. Partnerships Driving Growth

02.06.2026

Sapiom Innovates AI Payments: $15M for Autonomous Financial Transactions

Update The Future of AI Agents: A Financial RevolutionArtificial Intelligence (AI) has become increasingly integral in our day-to-day lives, and as it continues to evolve, so does its capability to handle complex financial tasks autonomously. A recent startup, Sapiom, has raised $15 million to develop technology that allows AI agents to purchase their own software and APIs, essentially revolutionizing how AI interacts with financial services. This is poised to have significant implications in various sectors, particularly for non-technical creators who wish to leverage AI in a B2B context.Understanding Sapiom’s Contribution to AI TransactionsSapiom's innovative approach centers on creating a seamless financial layer that allows AI agents to make autonomous payment decisions for using external tools like SMS services from Twilio or cloud computing resources from AWS. This involves micro-payments for every API call, ensuring that processes typically requiring human oversight are now automated, thereby eliminating friction in operations.Trends in AI Payments: A Shifting ParadigmAs noted by Amit Kumar from Accel, the need to create a robust infrastructure for AI payments is more critical than ever. With the rise of vibe coding tools that allow people without coding backgrounds to launch applications, successful monetization of these applications hinges on enabling AI agents to transact independently. Kumar's insights emphasize that every API call is essentially a payment, which needs to be streamlined for greater efficiency.Agentic AI: The Future is NowAI's potential to handle financial transactions autonomously is not just a futuristic vision—it is unfolding now. As detailed in various reports including Deloitte and KPMG, agentic AI is becoming an essential tool for financial service industries. Recent statistics show that agentic AI could generate $3 trillion in improved corporate productivity. By adopting AI agents for routine tasks, financial firms could enhance operational efficiency immensely.Addressing Concerns: Are We Ready for AI Internally?However, the transition into fully autonomous AI transactions raises significant questions about data security, governance, and overall readiness within organizations. A notable statistic indicated that 99% of companies plan to implement AI agents, yet only 11% have done so, reflecting a disconnect between intent and capability. Major concerns include data privacy and the structural preparedness of companies to embrace these changes.Future Predictions Insights: Navigating the Agentic LandscapeLooking ahead, it’s essential to develop robust governance frameworks to ensure that AI systems operate safely and ethically. By focusing on training and empowering teams, organizations can mitigate fears over job loss and resistance to change. Companies that take proactive steps to adapt to these technologies will likely enjoy a considerable competitive advantage. The success of Sapiom and similar startups could serve as a blueprint for financial service companies aiming to tap into the growing agentic AI ecosystem.Final Thoughts: Embracing a New Era of AIAs we stand on the precipice of a major transformation in how AI interacts with financial systems, the advancements made by startups like Sapiom underscore that the future is both bright and challenging. With the right investments and strategies, businesses can unlock significant efficiencies through agentic AI, paving the way for an era where AI agents autonomously manage transactions, ultimately reshaping our economy.

02.05.2026

Inside the Rivalry: Sam Altman's Reaction to Anthropic's Super Bowl Ads

Update Super Bowl Ads Ignite Tech Rivalry Between OpenAI and AnthropicIn an unprecedented marketing move, Anthropic unveiled a series of Super Bowl commercials aimed squarely at its competitor, OpenAI, highlighting the tension within the rapidly evolving artificial intelligence sector. The ads cleverly feature a humorous narrative that pokes fun at OpenAI's decision to introduce ads on its popular ChatGPT platform, suggesting that while advertisements may soon infiltrate AI conversations, users of Anthropic's Claude will remain untouched by such interruptions.The Bitter Truth Behind ComedySam Altman, CEO of OpenAI, responded to the criticisms with a tweet that conveyed both amusement and irritation. He acknowledged the humor in Anthropic's ads while emphatically labeling them as "dishonest." This duality evokes a significant question: can humor coexist with integrity in the tech industry? As Altman warns, the portrayal of AI's functionality in these ads insinuates a betrayal of user trust that may disturb ethical boundaries.Understanding the Ad StrategyThe Anthropic ads serve both as a clever marketing tactic and a commentary on OpenAI's commercial strategies. With the catchphrase "Ads are coming to AI, but not to Claude," the company effectively reinforces its message of remaining user-first, contrasting OpenAI's choice to monetize ChatGPT's free tier. This juxtaposition emphasizes a broader narrative about how emerging tech companies choose to navigate market pressures while maintaining their core values.OpenAI's Defensive StanceHowever, OpenAI's Altman insists that advertisements will be clearly labeled and separate from the AI's responses, a move intended to protect user experience. He critiques Anthropic’s portrayal and articulates OpenAI's commitment to ensuring that its monetization efforts do not compromise quality or user trust. This assertion resonates particularly with tech-savvy individuals who face a daily barrage of advertisements in various online spheres.Cultural Reflections and ImplicationsThe exchange between these leading AI companies underscores a pivotal moment in the tech industry's evolution. As users increasingly rely on AI for vital services and information, the ethical implications of monetization strategies remain a pressing concern. The advertisements not only reflect a fierce corporate rivalry but also incite discussions on user autonomy and trust in artificial intelligence. Consequently, aspiring tech entrepreneurs should take note of how marketing decisions can impact consumer perceptions.What Lies Ahead for AI Advertising?As advertising becomes more integrated into AI platforms, the industry must tread carefully. The potential for revenue generation via strategic placement of ads may conflict with consumer expectations of unobstructed, unbiased service. Future trends indicate that tech companies will need to balance innovation and ethical integrity if they wish to cultivate long-lasting user relationships.Final ThoughtsThe growing tension between OpenAI and Anthropic reflects the challenges and opportunities presented by the modern digital landscape. This incident serves as a reminder of the importance of maintaining user trust and transparency in an environment where commercial interests often threaten to undermine ethical considerations. As technology continues to advance, stakeholders must prioritize accountability to foster a positive relationship between users and their digital tools.For those interested in exploring the intersection of technology and ethics further, consider engaging with tech forums and discussions that explore how these themes play out in real-time.

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