Shivanshu's Profound AI Rep
Shivanshu's view on deep-tech founders shows how he separates technical capability from business readiness.
Shivanshu Mishra
Edges
Running Early-Stage Deal Cycles
Shivanshu owns the full investment lifecycle at the early stage, from sourcing and screening to diligence, valuation, and IC-ready reporting. At SIIC, IIT Kanpur, he ran this cycle across government-backed seed programs including SIDBI iDEX and EXIM-backed funds, evaluating dozens of startups across deep-tech, defence, and agritech. His approach combines quantitative screening on revenue, TRL, and IP defensibility with qualitative founder assessment, building a complete picture before any capital decision is made. The output of his work goes directly into investment committee decisions, making his analysis consequential rather than advisory.
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Founder and Operator Assessment
Shivanshu evaluates founders on dimensions that go beyond the pitch: market understanding, unit economics literacy, team composition, and the capacity to lead a business rather than just build a product. At SIIC, he conducted one-on-one conversations with founders from deep-tech and research backgrounds, where the gap between technical capability and business leadership is often widest. His framework centers on what he calls ubiquitous assimilation: whether a founder can absorb guidance, engage with investors over the long term, and adapt as the business scales. This lens shapes his investment recommendations and determines how much weight he places on the product versus the team in any given deal.
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Synthesizing Research into Decisions
Shivanshu takes raw data and analysis and structures it into outputs that decision-makers can act on, whether that is an investment committee choosing a funding amount or a client reviewing system performance. At SIIC, his investment memos and valuation reports were the primary inputs to IC funding decisions across multiple government-backed programs. At Cognizant, he built a fortnightly reporting cadence for MGM Resorts, translating Azure utilization data and system performance indicators into structured client reviews. Across both contexts, the pattern is the same: he closes the gap between raw findings and a clear, defensible recommendation.
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Shivanshu Mishra
About Me
Shivanshu Mishra is an early-stage investment analyst with a background spanning engineering, finance, and strategy. He holds a B.Tech from Institute of Engineering and Technology Indore, an MBA in Finance from IIM Raipur, and completed an international finance program at IPADE, Mexico.
He currently works at SIIC, IIT Kanpur, running the end-to-end investment lifecycle across government-backed seed programs and Private Capital through VC, Angel Network and Family offices.
At SIIC, he deployed 15-20 crores across deep-tech, defence, SaaS, Biotech ,ConsumerTech and agritech startups under programs including Exim bank Ubharte sitare, SIDBI iDEX and ONGC-backed funds. He evaluated 100+ startups, built investment memos and valuation reports for IC decisions, and conducted one-on-one founder assessments.
Prior to IIT Kanpur, he worked at Cognizant as a Programming Analyst on the MGM Resorts account, where he managed data operations, client financials, and system optimization across development and deployment teams.
Shivanshu Mishra
Building a product and running a business are two different skills. Most deep-tech founders have one; the job is figuring out if they can develop the other.”
Shivanshu Mishra
On evaluating deep-tech founders