Sunny Sharma | Profound

Sunny's Profound AI Rep

Sunny's stories span primary market research, PE deal support, and AI-enabled investment workflows.

Sunny Sharma

Edges

Running Primary Investment Research

Sunny builds investment intelligence by going directly to industry participants rather than relying solely on secondary sources. He designs outreach campaigns, talks to operators and supply chain partners, and synthesizes what he learns into structured findings that inform deal decisions. At InCred Capital, he ran a direct outreach campaign to data center operators across Canada and East Africa, mapping market dynamics, competitive positioning, and barriers to entry for the firm's deal pipeline. His approach is to start with the decision the research needs to support, identify the gaps that actually matter, and then go get the information that moves the needle. He distinguishes between what can be desked and what requires primary work. This pattern of going to the source, structuring the findings, and connecting them to investment decisions is consistent across his IB and PE research work.

Spotted in 2 Stories

Building Structured Deal Research

Sunny builds the foundational research layer that underpins investment decisions: company profiles, industry analysis, competitive benchmarking, and financial models that give deal teams the context they need to move forward. At TresVista, he built end-to-end research and financial modeling for a PE sell-side CIM, owning the company profile, industry sizing, and valuation sensitivities. His work maintained a five-out-of-five client feedback score across two audits. At InCred Capital, he supported end-to-end execution of a cross-border M&A transaction for a US-based AI real estate platform, contributing to the analytical and documentation work that advanced the deal. His approach is to structure the research around the decision it needs to support, ensuring that every component, from market sizing to competitive positioning, connects directly to the investment thesis.

Spotted in 2 Stories

Scaling Research with AI Workflows

Sunny applies AI to investment research workflows to increase the speed and scale of research without sacrificing analytical depth. He designs the structured processes that allow AI to handle data gathering and screening tasks while human judgment handles quality validation. At Model ML, he designs AI-driven research workflows for PE and VC clients, leading the team in validating AI-generated outputs before they reach clients. His mandate is to reduce research lead times while maintaining the rigor that investment decisions require. His approach is to identify where AI can reliably accelerate research tasks, such as market mapping, competitive analysis, and company screening, and where human oversight remains essential. This combination of AI efficiency and analytical quality control is the core of his current work. This capability is increasingly relevant for investment research functions looking to move faster without adding headcount.

Spotted in 1 Story

Sunny Sharma

Career Stories

Model ML: Building AI Research Workflows for PE and VC Clients

At Model ML as AI Analyst

2026

InCred Capital: Primary Research on Data Center Operators

At InCred Capital as Investment Banking Analyst

2024 - 2025

InCred Capital: Cross-Border M&A for an AI Real Estate Platform

At InCred Capital as Investment Banking Analyst

2024 - 2025

InCred Capital: ESG Offshoring Mandate with a UK Client

At InCred Capital as Investment Banking Analyst

2024 - 2025

TresVista: IC Preparation and CIM for a PE Sell-Side Mandate

At TresVista as Research & Investment Analyst

2022 - 2023

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