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Tag: deep tech

  • India has changed its startup rules for deep tech | TechCrunch

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    Deep tech startups in sectors such as space, semiconductors, and biotech take far longer to mature than conventional ventures. Because of that India is adjusting its startup rules, and mobilizing public capital, hoping to help more of them make it to commercial products.

    This week, the Indian government updated its startup framework, doubling the period for which deep tech companies are treated as startups to 20 years and raising the revenue threshold for startup-specific tax, grant, and regulatory benefits to ₹3 billion (about $33.12 million), from ₹1 billion (around $11.04 million) previously. The change aims to align policy timelines with the long development cycles typical of science- and engineering-led businesses.

    The change also forms part of New Delhi’s effort to build a long-horizon deep tech ecosystem by combining regulatory reform with public capital, including the ₹1 trillion (around $11 billion) Research, Development and Innovation Fund (RDI), announced last year. That fund is intended to expand patient financing for science-led and R&D-driven companies. Against that backdrop, U.S. and Indian venture firms later came together to launch the India Deep Tech Alliance, $1 billion-plus private investor coalition that includes Accel, Blume Ventures, Celesta Capital, Premji Invest, Ideaspring Capital, Qualcomm Ventures, and Kalaari Capital, with chipmaker Nvidia acting as an adviser.

    For founders, these changes may fix what some see as an artificial pressure point. Under the previous framework, companies often risked losing startup status while still pre-commercial, creating a “false failure signal” that judged science-led ventures on policy timelines rather than technological progress, said Vishesh Rajaram, founding partner at Speciale Invest, an Indian deep tech venture capital firm.

    “By formally recognizing deep tech as different, the policy reduces friction in fundraising, follow-on capital, and engagement with the state, which absolutely shows up in a founder’s operating reality over time,” Rajaram told TechCrunch.

    Still, investors say access to capital remains a more binding constraint, particularly beyond the early stages. “The biggest gap has historically been funding depth at Series A and beyond, especially for capital-intensive deep tech companies,” Rajaram said. That is where the government’s earlier RDI fund is meant to play a complementary role.

    “The real benefit of the RDI framework is to increase the funding available to deep tech companies at early and growth stages,” said Arun Kumar, managing partner at Celesta Capital. By routing public capital through venture funds with tenors similar to private capital, he said, the fund is designed to address chronic gaps in follow-on funding without altering the commercial criteria that govern private investment decisions.

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    Siddarth Pai, founding partner at 3one4 Capital and co-chair of regulatory affairs at the Indian Venture and Alternate Capital Association, said India’s deep tech framework avoids a “graduation cliff” that has historically cut companies off from support just as they scale.

    These policy changes come as the RDI fund is beginning to take shape operationally, Pai said, with the first batch of fund managers identified and the process of selecting venture and private equity managers under way.

    While private capital for deep tech already exists in India — particularly in areas such as biotech — Pai told TechCrunch the RDI Fund is intended to act as a nucleus around which greater capital formation can occur. Unlike a traditional fund-of-funds, he noted, the vehicle is also designed to take direct positions and provide credit and grants to deep tech startups.

    India’s deep tech funding grows

    In terms of scale, India remains an emerging rather than dominant deep tech market. Indian deep tech startups have raised $8.54 billion in total to date, but recent data point to renewed momentum. Indian deep tech startups raised $1.65 billion in 2025, a sharp rebound from $1.1 billion in each of the previous two years after funding peaked at $2 billion in 2022, per Tracxn. The recovery suggests growing investor confidence, particularly in areas aligned with national priorities such as advanced manufacturing, defence, climate technologies, and semiconductors.

    “Overall, the pickup in funding suggests a gradual move toward longer-horizon investing,” said Neha Singh, co-founder of Tracxn.

    In comparison, U.S. deep tech startups raised about $147 billion in 2025, more than 80 times the amount deployed in India that year, while China accounted for roughly $81 billion, data from Tracxn shows.

    The disparity highlights the challenge India faces in building capital-intensive technologies, even with its wealth of engineering talent. So the hope is that these moves by the Indian government will lead to more investor participation over the medium term.

    Image Credits:Jagmeet Singh / TechCrunch

    A longer-term signal

    For global investors, New Delhi’s framework change is being read as a signal of longer-term policy intent rather than a trigger for immediate shifts in allocation. “Deep tech companies operate on seven- to twelve-year horizons, so regulatory recognition that stretches the lifecycle gives investors greater confidence that the policy environment will not change mid-journey,” said Pratik Agarwal, a partner at Accel. While he said the change would not alter allocation models overnight or eliminate policy risk entirely, it increased investor comfort that India is thinking about deep tech on longer time horizons.

    “The change shows that India is learning from the U.S. and Europe on how to create patient frameworks for frontier building,” Agarwal told TechCrunch.

    Whether the move will reduce the tendency of Indian startups to shift their headquarters overseas as they scale remains an open question.

    The extended runway strengthens the case for building and staying in India, Agarwal said, though access to capital and customers still matters. Over the past five years, he added, India’s public markets have shown a growing appetite for venture-backed tech companies, making domestic listings a more credible option than in the past. That, in turn, could ease some of the pressure on deep tech founders to incorporate overseas, even if access to procurement and late-stage capital will continue to shape where companies ultimately scale.

    For investors backing long-horizon technologies, the ultimate test will be whether India can deliver globally competitive outcomes. The real signal, Kumar of Celesta Capital said, would be the emergence of a critical mass of Indian deep tech companies succeeding on the world stage.

    “It would be great to see ten globally competitive deep tech companies from India achieve sustained success over the next decade,” he said, describing that as the benchmark he would look for in assessing whether India’s deep tech ecosystem is maturing.

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    Jagmeet Singh

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  • Nordic founders are taking bigger swings, and it’s paying off | TechCrunch

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    Ten years ago, raising €1 million in Copenhagen was enough to make waves in the region’s tech scene. Today, the Nordics are turning out billion-dollar companies like Lovable — which hit $200M in revenue just 12 months after launching. 

    Dennis Green-Lieber, founder of AI-powered customer intelligence platform Propane, has had a front-row seat to that shift over the last 15 years. His take? The region’s social safety net gives founders room to take real swings without putting their personal lives on the line, and they’re accelerating faster than Silicon Valley as a result. 

    Today on TechCrunch’s Equity podcast, Dominic-Madori Davis caught up with Green-Lieber to talk about the Nordic startup ecosystem, from its collaborative culture to its deep tech future. 

    Subscribe to Equity on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. 

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  • U.S. and Indian VCs just formed a $1B+ alliance to fund India’s deep tech startups | TechCrunch

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    Eight U.S. and Indian venture capital and private equity firms — including storied investors Accel, Blume Ventures, Celesta Capital, and Premji Invest — have formed an unusual coalition to back India’s deep tech startups, pledging more than $1 billion over the next decade to strengthen U.S.-India tech ties.

    The alliance addresses longstanding funding concerns. In April, Indian Commerce Minister Piyush Goyal drew criticism after slamming domestic startups for focusing on food delivery instead of innovation, contrasting them with Chinese firms in a presentation titled “India vs. China: The Startup Reality Check.” Several investors and founders countered that India lacks capital for deep tech ventures and said Goyal’s comments overlooked the determination of founders building for the local market. The new alliance appears to address these concerns, aiming to channel long-term private capital into deep tech ventures that many founders say have struggled to secure funding in India.

    The move stands out because investors typically compete for deals rather than formally band together under a named alliance with binding pledges. While VCs often co-invest on a deal-by-deal basis, most cross-border collaboration occurs informally through individual fund strategies, rather than through coordinated capital blocs.

    Called the India Deep Tech Investment Alliance, the group brings together Celesta Capital, Accel, Blume Ventures, Gaja Capital, Ideaspring Capital, Premji Invest, Tenacity Ventures, and Venture Catalysts, the firms said in a joint statement on Tuesday. The launch follows the Indian government’s approval of a ₹1 trillion (approximately $11 billion) Research, Development, and Innovation (RDI) scheme, announced in the national budget earlier this year to boost deep tech R&D.

    Under the alliance, each member will commit private capital over a 5- to 10-year period to Indian-domiciled deep tech startups, the firms said. For now, there are relatively few such companies, as many of India’s best-known deep tech ventures with Indian founders are incorporated in the U.S. But New Delhi has made local incorporation a requirement for incentives under its new RDI scheme, which the alliance members aim to leverage.

    In addition to funding, the members will offer mentorship and network access. The firms also plan to utilize the alliance to help their portfolio companies expand into the Indian market.

    “This is in line with the strategic interests of both India and the U.S. at the governmental level, focusing on critical and emerging technologies,” said Celesta Capital managing partner Arun Kumar, who will be the inaugural chair of the alliance, in an interview.

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    Still, the geopolitical backdrop is complicated. In February, President Donald Trump and Prime Minister Narendra Modi launched the TRUST (Transforming the Relationship Utilizing Strategic Technology) initiative to deepen U.S.–India tech ties. But relations soon showed strain, as Trump imposed a 50% tariff on Indian goods last month over New Delhi’s continued purchases of Russian oil, a move analysts say has put the two leaders on opposite sides of a widening trade and geopolitical rift.

    Despite those tensions, the alliance — notwithstanding the geopolitical rift between the two leaders — is betting on India as a hub for startups developing foundational technologies such as AI, semiconductors, space, quantum, robotics, biotech, energy, and climate tech.

    “We find India as a particularly interesting market, not just for the opportunities that exist for new companies that get started in India, but also for companies in the U.S. that are seeking to expand into the Indian market,” Sriram Vishwanathan, founding managing partner at Celesta Capital, told TechCrunch.

    Celesta Capital — an early backer of Indian startups such as space-tech venture Agnikul, drone maker IdeaForge, and AI-driven cancer diagnostics firm OneCell Diagnostics — spearheaded the effort after discussions with industry stakeholders and the Indian government.

    “We have put this thing together to actually energize the ecosystem and bring like-minded investors together,” Vishwanathan said.

    The alliance will focus on early-stage startups — from seed to Series B — while steering clear of late-stage investments, Vishwanathan noted. He also stated that the billion-dollar-plus commitment is just the beginning, as “any long journey starts with the first step.”

    “You could expect more firms to join this alliance, both financial VC firms and private equity firms,” he said. “You should also expect corporates to join who have pretty significant investment programs.”

    While the alliance does not set its own eligibility criteria for new members, Vishwanathan said participants must meet the Indian government’s conditions under the RDI scheme — including investing in “sunrise” sectors, backing India-domiciled startups, and securing local regulatory approvals.

    “The alliance is just a platform for engaging with the government,” he told TechCrunch.

    As a group, the investors in the alliance plan to engage with the Indian government on policy and incentives to advance private industry’s interests and act as a unified voice, Vishwanathan said.

    In the past, regulatory changes rolled out without industry input have led to turmoil in India. Some such moves have drawn intense criticism from U.S. investors and were subsequently withdrawn following widespread outrage.

    The alliance’s members will share information voluntarily and coordinate on pipeline development, due diligence and co-investment opportunities, the firms said.

    An advisory committee, comprising representatives from Accel, Premji Invest, and Venture Catalysts, among the early participants, will help establish shared objectives and ensure coordination while preserving the independence of each fund.

    Kumar stated that while he is the inaugural chair, the alliance’s leadership will rotate as it moves forward.

    The alliance could prove a double-edged sword for Indian deep tech startups. While pooling long-term capital and giving a unified voice to the government appears to be a boon, there is risk if coordination falters, leaving promising companies caught in the gaps.

    “Over the next decade, startups will build in India and export breakthrough solutions to the world. The tailwinds are in place: ambition, talent, policy intent, and patient capital,” said Accel partner Anand Daniel in a prepared statement.

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    Jagmeet Singh

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  • Deepfakes Are on the Rise — Will They Change How Businesses Verify Their Users? | Entrepreneur

    Deepfakes Are on the Rise — Will They Change How Businesses Verify Their Users? | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    You know how you can’t do anything these days without proving who you are? Whether opening a bank account or just hopping onto a car-sharing service. With online identity verification becoming more integrated into daily life, fraudsters have become more interested in outsmarting the system.

    Criminals are investing more money and effort to overcome security solutions. Their ultimate weapon is deepfakes — impersonating real people using artificial intelligence (AI) techniques. Now, the multi-million question is: Can organizations effectively employ AI to combat fraudsters with their tools?

    According to a Regula identity verification report, a whopping one-third of global businesses have already fallen victim to deepfake fraud, with fraudulent activities involving deepfake voice and video posing significant threats to the Banking sector.

    For instance, fraudsters can easily pretend to be you to get access to your bank account. Stateside, almost half of the companies surveyed confessed to being targeted with the voice deepfakes last year, beating the global average of 29%. It’s like a blockbuster heist but in the digital realm.

    And as AI technology for creating deepfakes becomes more accessible, the risk of businesses being affected only increases. That poses a question: Should the identity verification process be adjusted?

    Related: Deepfake Scams Are Becoming So Sophisticated, They Could Start Impersonating Your Boss And Coworkers

    Endless race

    Luckily, we’re not at the “Terminator” stage yet. Right now, most deepfakes are still detectable — either by eagle-eyed humans or AI technologies that have already been integrated into ID verification solutions for quite some time. But don’t let your guard down. Deepfake threats are evolving quickly — we are already on the edge of witnessing persuasive samples that can scarcely arouse any suspicion, even upon deliberate scrutiny.

    The good news is that the AI, the superhero we’ve enlisted to fight against good old “handmade” identity fraud, is now being trained to spot fake stuff created by its fellow AI buddies. How does it manage this magic? First of all, AI models don’t work in a vacuum; human-fed data and clever algorithms shape them. Researchers can develop AI-powered tools to remove the bad guys of synthetic fraud and deepfakes.

    The core idea of this protective technology is to be on the lookout for anything fishy or inconsistent while doing those ID liveness checks and “selfie” sessions (where you snap a live pic or video with your ID). An AI-powered identity verification solution becomes the digital Sherlock Holmes. It can detect both changes that occur over time, like shifts in lighting or movement, and sneaky changes within the image itself – like tricky copy-pasting or image stitching.

    Fortunately, AI-generated fraud still has some blind spots, and organizations should leverage those weak points. Deepfakes, for instance, often fail to capture shadows correctly and have odd backgrounds. Fake documents typically lack optically variable security elements and would fail to project-specific images at certain angles.

    Another key challenge criminals face is that many AI models are primarily trained using static face images, mainly because those are more readily available online. These models struggle to deliver realism in liveness “3D” video sessions, where individuals must turn their heads.

    One more vulnerability organizations can use is the difficulty in manipulating documents for authentication compared to attempting to use a fake face (or to “swap a face”) during a liveness session. This is because criminals typically have access only to one-dimensional ID scans. Moreover, modern IDs often incorporate dynamic security features that are visible only when the documents are in motion. The industry is constantly innovating in this area, making it nearly impossible to create convincing fake documents that can pass a capture session with liveness validation, where the documents must be rotated at different angles. Hence, requiring physical IDs for a liveness check can significantly boost an organization’s security.

    While the AI training for ID verification solutions keeps evolving, it’s essentially a constant cat-and-mouse game with fraudsters, and the results are often unpredictable. It is even more intriguing that criminals are also training AI to outsmart enhanced AI detection, creating a continuous cycle of detection and evasion.

    Take age verification, for example. Fraudsters can employ masks and filters that make people appear older during a liveness test. In response to such tactics, researchers are pushed to identify fresh cues or signs of manipulated media and train their systems to spot them. It’s a back-and-forth battle that keeps going, with each side trying to outsmart the other.

    Related: The Deepfake Threat is Real. Here Are 3 Ways to Protect Your Business

    Maximum level of security

    In light of all we’ve explored thus far, the question looms: What steps should we take?

    First, to achieve the highest level of security in ID verification, toss out the old playbook and embrace a liveness-centric approach for identity checks. What’s the essence of it?

    While most AI-generated forgeries still lack the naturalness needed for convincing liveness sessions, organizations seeking maximum security should work exclusively with physical objects — no scans, no photos — just real documents and real people.

    In the ID verification process, the solution must validate both the liveness and authenticity of the document and the individual presenting it.

    This should also be supported by an AI verification model trained to detect even the most subtle video or image manipulations, which might be invisible to the human eye. It can also help detect other parameters that could flag abnormal user behavior. This involves checking the device used to access a service, its location, interaction history, image stability and other factors that can help verify the authenticity of the identity in question. It’s like piecing together a puzzle to determine if everything adds up.

    And one final tip – requesting that customers use their mobile phones during liveness sessions instead of a computer’s webcam would be helpful. This is because it is generally much more difficult for fraudsters to swap images or videos when using a mobile phone’s camera.

    To wrap it up, AI is the ultimate sidekick for the good guys, ensuring the bad guys can’t sneak past those defenses. Still, AI models need guidance from us humans to stay on the right track. But when together, we are superb at spotting fraud.

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    Ihar Kliashchou

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  • Rebel Space Technologies Awarded NASA Cognitive Communication Contract

    Rebel Space Technologies Awarded NASA Cognitive Communication Contract

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    Press Release



    updated: Sep 21, 2021

    Rebel Space Technologies has been awarded a NASA Phase II Small Business Innovation Research (SBIR) contract for their proposal SpaceWeaver: A Collaborative Smart Network for Space Communications. The proposal leverages Rebel Space’s proprietary Rebel Cognitive Communications & Control software (Rebel-C3) for autonomous network management, in addition to their partner Prewitt Ridge’s VerifAI capability.

    SpaceWeaver utilizes Rebel-C3 to create a distributed cognitive space communications network for lunar operations that increases mission science data return and improves network resource efficiencies for NASA missions. Rebel-C3 uses artificial intelligence enhanced distributed sensing and optimized data routing to ensure efficient, resilient operations in an unpredictable space environment. The ultimate goal is to coordinate the transfer and relay of mission data across the lunar architecture based on data priority, content, schedule, and environmental conditions, a necessity for future lunar missions.

    The SBIR Phase I and Phase II efforts and resulting prototype software will contribute to future NASA missions and lunar operations. Rebel Space co-founder, Carrie Hernandez, stated “the continued research and development under the NASA Phase II contract aligns with our company’s commercial goal of providing autonomous network management software to deliver a 10x network performance improvement in challenging industrial environments. We believe that our Rebel-C3 software can help businesses significantly optimize their operations by providing customized network management that takes advantage of 5G capabilities and simplifies the adoption of Industry 4.0 technology.”

    Rebel Space is partnering with Prewitt Ridge’s patent-pending method for processing unstructured and semi-structured textual data into technical decisions, known as VerifAI. “We’re ecstatic to adapt VerifAI from supporting engineering design and into a cognitive component for Rebel Space’s vision of dynamic on-orbit communications routing via SpaceWeaver,” said Steven Massey, CEO & Co-Founder of Prewitt Ridge.

    The NASA Phase II contract has a two year period of performance, during that time, Rebel Space and Prewitt Ridge will deliver to NASA prototype software that will advance NASA’s lunar communications capabilities. 

    ABOUT REBEL SPACE TECHNOLOGIES 

    Founded in 2019 by Carrie and Gabriel Hernandez, a mother and son team, Rebel Space Technologies expands the boundaries of existing communications systems by developing autonomous network management software. Backed by Acequia Capital and world-tier angel investors, Rebel Space has strong early engagement across leading commercial space, defense, and logistics companies.

    (https://www.rebelspacetech.com)

    Press Contact: Carrie Hernandez, CEO, carrie@rebelspacetech.com

    ABOUT PREWITT RIDGE

    Prewitt Ridge was founded by former SpaceX engineers in 2019 to solve one of the most difficult meta-problems in deep tech: making engineering collaboration less prone to error, and less reliant on email & PowerPoint. Backed by leading early-stage funds Wonder Ventures, Haystack, and Acequia Capital, Prewitt Ridge’s technologies have found early traction across a variety of private aerospace companies and government agencies.

    (https://www.prewittridge.com)

    Press Contact: Steven Massey, CEO, media@prewittridge.com

    Source: Rebel Space Technologies

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