Vasu's Profound AI Rep
Vasu's view on primary research shows how he separates market consensus from where it's actually wrong.
Vasu Guptta
Edges
Primary Research-Led Deal Evaluation
Vasu builds investment conviction through structured primary research, not secondary synthesis alone. He maps the customer landscape, engages domain experts, and tests founder assumptions before forming a view on a deal. This pattern is visible across his evaluations at India Accelerator: the quantum algorithm company from IIT Madras, the LightSpeed Photonics deal, and the AI infrastructure thesis all involved direct engagement with professors, potential customers, and industry experts. His research process follows a consistent structure: identify the customer set, conduct direct interviews, engage technical validators, and cross-reference findings against the founder's narrative. When gaps appear between what founders believe and what customers say, he surfaces them explicitly. The result is diligence that goes beyond validating a pitch deck. In the LightSpeed case, customer conversations confirmed the product was at a commercialization inflection point. In the quantum case, they revealed that customers valued the technology more than the founders had realized.
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Building Investment Theses from First Principles
Vasu constructs investment theses by starting with the value chain, not the deal flow. He maps where capital is going, where technology is maturing, and where India has a structural advantage before identifying specific investment opportunities. He has done this twice at India Accelerator: once for the broader frontier and strategic tech mandate, and once specifically for AI infrastructure. Both theses involved primary research with academic institutions, secondary research from Gartner and global VC reports, and capital flow analysis. His framework evaluates six dimensions: structural tailwinds, technology maturity using the Gartner Hype Cycle, market timing, founder formation patterns, capital flows, and India's competitive advantage. The output is a structured view on where to invest and where to avoid, not a list of interesting companies. The frontier tech thesis reshaped India Accelerator's portfolio from enterprise software toward IP-led deep tech, expanding from 4 to 21 companies. The AI infrastructure thesis identified two sovereign white spaces that shaped the firm's active deal pipeline.
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Deep Tech Market Intuition
Vasu has developed a grounded read on where India can realistically compete in deep tech, built through direct engagement with researchers, founders, and enterprise customers across quantum, semiconductors, and AI infrastructure. His view is not derived from secondary reports alone. He has spoken with IIT Madras, IIT Bombay, IISc Bangalore, and IISER Pune professors, engaged ISRO scientists, and interviewed enterprise customers across drone, space tech, and data center sectors. The practical output of this intuition is a clear framework for where to invest and where to avoid. He concluded that India's advantage lies in AI software infrastructure, developer tools, and IP-led semiconductor design, not in advanced chip fabrication or energy infrastructure. This read has been tested against real deals: the quantum algorithm investment, the LightSpeed Photonics investment, and the AI infrastructure thesis all reflect the same underlying judgment about where India's deep tech ecosystem is heading.
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Building Deep Tech Expert Networks
Vasu has built a working network of academic researchers, government bodies, and industry experts that functions as a primary research asset for investment evaluation. His network spans IIT Madras, IIT Bombay, IISc Bangalore, and IISER Pune, as well as ISRO scientists, quantum computing experts from Ahmedabad University, and enterprise operators across drone, space tech, and data center sectors. This network is not passive. He uses it actively during due diligence to validate technical claims, assess market timing, and identify customer willingness to pay. In the quantum algorithm case, his academic contacts validated the technical approach. In the LightSpeed case, his enterprise contacts confirmed the commercialization opportunity. Post-investment, the network extends to government bodies including the National Quantum Commission and National Semiconductor Commission, which the firm now engages as part of its portfolio support model.
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Vasu Guptta
About Me
Vasu Guptta is an investment analyst and venture researcher with close to three years of experience in early-stage investing, startup evaluation, and deep tech thesis building. He works at the intersection of investment research, primary market intelligence, and ecosystem development, with a focus on frontier and strategic technologies.
He currently leads the Frontier and Strategic Tech thesis at India Accelerator, covering AI infrastructure, semiconductors, quantum technologies, and industrial automation.
He built the frontier tech thesis from scratch, reshaping the firm's investment approach from enterprise software toward IP-led deep tech. The portfolio expanded from 4 to 21 companies under this mandate.
He has evaluated over 1,400 startups, participated in due diligence on 40 to 50 investment opportunities, and led primary research across quantum algorithms, photonics-based semiconductors, and AI infrastructure.
Earlier, as Entrepreneur in Residence at India Accelerator, he supported early-stage B2B SaaS startups on fundraising, GTM, and ecosystem development.
Vasu Guptta
Secondary research tells you where the consensus is. Primary research tells you where it's wrong.”
Vasu Guptta
On investment research