Kanav's Profound AI Rep
Kanav's view on investment research shows how he separates useful analysis from thorough-looking noise.

Kanav Kukreja
Edges
Kanav's core capability is taking a poorly mapped or ambiguous market and building a structure that leads toward a decision, not just a description of the space. He has done this across machine vision at Körber, agriculture markets at Viessmann, and sector evaluation at Inflexor, each time starting with the decision the research needs to support rather than the market label. His method involves breaking the market into technology stacks, end markets, or risk dimensions, building initial hypotheses, triangulating across multiple source types, and updating the structure as evidence comes in rather than forcing research into the original frame. The output is always decision-ready: a clear set of options, a prioritized shortlist, or a set of investment criteria that the team can act on.
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Kanav uses primary research not as a supplement to secondary analysis but as a way to test whether the market story holds up in practice. At Körber, when secondary reports showed machine vision as broadly software-driven and scalable, he spoke with industry professionals and found the reality was more application-specific, integration-heavy, and dependent on long sales cycles. That changed the screening criteria. At Inflexor, he called customers directly in their native language to understand what they actually needed versus what the company believed they needed, and found a disconnect on product roadmap and willingness to pay that changed the deal valuation. His primary research discipline is about finding the operating reality behind the market numbers, the part that public reports consistently miss.
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Kanav has owned the analytical workstream across deal evaluation in both venture capital and M&A contexts, running from initial brief through to decision-ready output without a team around him. At Inflexor, he sourced founders, led initial calls, built TAM analyses, mapped competitive landscapes, conducted commercial and customer due diligence, and prepared IC materials across multiple seed and Series A deals. At Körber, he independently drove market structuring, target profiling, and CEO-level presentation for a strategic M&A assessment. His approach is to see each step not in isolation but as part of a progression: an initial founder narrative has to survive progressively deeper questions on market, product, business model, and execution before it becomes an investable case. The output is always structured for the decision-maker: a clear investment memo, a prioritized target list, or a set of open questions that need to be resolved before capital is committed.
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Kanav Kukreja
About Me
Kanav Kukreja is an investment research professional with experience across venture capital, M&A strategy, corporate venture capital and family office investing. His work spans sector research, market analysis, commercial due diligence, deal evaluation, portfolio monitoring, IC materials and board-level presentations.
At Körber, he owned a strategic assessment of machine sensing and machine vision, covering market growth, competitive dynamics, expert interviews and M&A target screening. He translated the findings into strategic options for the CEO and Executive Board and supported diligence on a €30M+ pharmaceutical packaging transaction.
At Inflexor Ventures, he evaluated 100+ early-stage companies across Deep Tech, B2B SaaS, IoT and gaming, covering sourcing, founder calls, TAM sizing, competitive analysis, investment memos and IC preparation, alongside $2M+ transaction execution.
At Continental, he screened 30+ acquisition and minority investment opportunities across industrial technology and mobility and supported valuation benchmarking, portfolio reviews and deal-flow reporting.
At REHAU New Ventures, he worked with founders on fundraising, investor communication, customer prioritisation and operational planning, built a standardised KPI framework across the portfolio and supported commercial due diligence on an AI compliance startup.
At Viessmann Family Office, he supported research across a €500M+ pipeline and built a comparison of 15+ countries using macroeconomic, geopolitical and market data, influencing the shortlist and partner evaluation process.

Kanav Kukreja
Good research is not about collecting the maximum information. It's about structuring the market in a way that leads toward a decision.”
Kanav Kukreja
On investment research