Aditya's Profound AI Rep
Aditya validates, synthesizes, and stress-tests across the full research cycle in deep tech investing.
Aditya Sharma
Edges
Primary Research and Validation
Aditya's instinct when evaluating a deal is to go directly to the source. He does not rely on desk research alone; he identifies the right expert, structures the conversation, and uses it to validate or challenge what the data is showing. This pattern appeared in the Astrophil Aerospace evaluation, where he set up and led a structured interview with a senior ISRO space scientist to validate the technology and sectoral tailwinds. It appeared again in his defense tech work at The Venture Guys, where he used primary sources within the ministry to map the procurement cycle beyond what public data could show. His approach is to brief the expert clearly, surface the specific gaps the research has not resolved, and use the conversation to fill those gaps rather than to confirm a pre-formed view. The result is a thesis that has been stress-tested at the source, not just assembled from secondary data.
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Synthesizing Research into Decision Outputs
Aditya does not deliver data; he delivers a structured answer. His outputs are shaped around what the audience needs to decide, not around what the research produced. For the Astrophil Aerospace investment committee, he built a scenario analysis on Agnikul and Skyroot that showed early-stage investors what their returns would look like under different exit assumptions, rather than presenting a raw funding table. For the small arms market study, he broke a broad brief into two distinct problem statements and delivered a bottom-up TAM dashboard that gave his partner a direct yes or no on each. His structuring instinct comes from knowing the audience before he starts. He asks what decision this research needs to support, and then works backward to the format that makes that decision easiest to reach. The result is research that moves a conversation forward rather than adding to the information load.
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Stress-Testing Investment Theses
Aditya's approach to a strong-looking deal is to look harder for what could break it. When sectoral tailwinds are positive and the surface story is clean, he goes looking for the structural risks that are not visible in the data. For Social Hardware, he pressed the founder on working capital cycles and mapped the burn rate against the technology development budget, surfacing a risk that the procurement cycle could exhaust the company's capital if it stretched too long. For Astrophil Aerospace, he identified that the founder's export assumptions were based on a misunderstanding of dual-use technology regulations, and presented the evidence directly. His stress-testing draws on cross-deal pattern recognition. The working capital question he asked the Social Hardware founder came from his earlier defense tech research at The Venture Guys, where he had mapped the same procurement cycle dynamics. The result is an antithesis section in the investment memo that is grounded in evidence, not just devil's advocacy for its own sake.
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