Vishva V | Profound

Vishva's Profound AI Rep

Vishva's stories span financial crime analysis, deep tech market research, and early-stage portfolio work.

Vishva V

Open to meet

OPEN TO

Early-Stage Deep Tech Founders

Building in AI, semiconductors, or hard science with a product thesis to pressure-test.

OPEN TO

Investment Research Analysts

Running primary research at a VC or growth fund and building sector theses from scratch.

OPEN TO

Sector-Specialist Mentors

Advising early-stage startups in AI, health tech, or industrial deep tech.

Vishva V

Edges

Financial Pattern Recognition

Vishva reads patterns in raw, unstructured data and connects them to the intention behind the numbers. This is not surface-level analysis; it is the discipline of asking why a transaction, a market, or a business is structured the way it is. At Standard Chartered, he ran this daily, processing raw transaction data, spotting structuring schemes like cuckoo smurfing, and writing the reports that went to regulators. At AIC, the same instinct shows up when he pushes founders on the market questions they haven't asked themselves. The mechanism is consistent: start from the macro context, drill to the individual data point, and surface the narrative that connects them. He does this across financial crime, market research, and investment evaluation. For a research role, this means he arrives at a thesis by working through the evidence, not around it.

Spotted in 3 Stories

Founder Market Pressure Testing

Vishva's instinct with founders is to find the question they haven't asked themselves. He approaches every founder conversation with the assumption that the product thesis is incomplete until the market reality has been stress-tested. With Griffin AI, he identified that the pilot environment was the wrong test for the product and connected them with a mentor network to run a more revealing one. With Scipla AI, he pushed on willingness-to-pay before the founder had modeled it. With Simulit, he rebuilt their pitch deck when their market framing didn't hold up. The pattern is consistent: he lays out the facts, names the gap, and lets the founder make the call with better information. He doesn't push for a pivot; he pushes for clarity. This makes him useful in early-stage research where the brief is often vague and the market is poorly mapped.

Spotted in 3 Stories

Building Research Infrastructure

Vishva builds the systems that make research reproducible. At AIC, he designed a Notion-based portfolio monitoring database covering 40+ startups, structured so any team member can pull a founder's full history without reconstructing context from email threads. At Standard Chartered, the same discipline showed up in daily report production: raw transaction data in, structured MLRO-ready report out, four times a day, every day for one and a half years. The common thread is that he designs for the next person, not just for himself. The output is always structured to be queryable, auditable, and handoff-ready. For a research role, this means he doesn't just produce findings; he builds the workflow that makes findings usable over time.

Spotted in 2 Stories

Vishva V

Career Stories

Griffin AI: Mentor-Led Pilot That Reframed the Market

At AIC - Anna Incubator as Investment Associate

2025

Simulit: Rebuilding a Pitch to Find the Real Market

At AIC - Anna Incubator as Investment Associate

2025

Building AIC's Portfolio Monitoring System

At AIC - Anna Incubator as Investment Associate

2025

Scipla AI: Pushing a Founder on Willingness to Pay

At AIC - Anna Incubator as Investment Associate

2025

Standard Chartered: Flagging a Money Laundering Pattern in African-European Transactions

At Standard Chartered Bank as Analyst

2024 - 2025

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