Team & Founders
Reviews founder backgrounds, relevant experience, commitment signals, public reputation, and team-market fit.
Upload a pitch deck and supporting documents. Startup Due Dil coordinates specialized research agents to analyze the company, market, team, traction, risks, claims, and public signals — then delivers a structured due diligence report in minutes.
Made by VC for effective inference
Startup Due Dil is powered by a multi-agent orchestrator: specialized agents work together to review the opportunity from different angles. Scroll through the agents to see what each one analyzes.
Reviews founder backgrounds, relevant experience, commitment signals, public reputation, and team-market fit.
Checks market size, growth claims, category tailwinds, headwinds, and structural risks using public sources.
Maps relevant competitors, stages, funding signals, positioning, and where larger companies may enter.
Reviews the product, technical approach, defensibility, scalability, security posture, and product-stage fit.
Analyzes adoption, revenue signals, retention, growth quality, runway, burn, and unit-economics evidence.
Evaluates pricing, monetization, recurring revenue potential, scalability limits, and market-entry dependencies.
Identifies regulatory exposure, required frameworks, licensing questions, and compliance risks as the company scales.
Reviews ownership structure, dilution, investor signals, and available public information on material stockholders.
Checks incorporation, licensing, investor limitations, and other legal diligence questions from available materials.
Does planning, verifies report quality, and triggers additional agent loops when the diligence is incomplete.
Just upload the presentation and any documents needed for due diligence. Startup Due Dil extracts, reviews, and analyzes the materials automatically.
Startup Due Dil highlights the most important findings using a simple flag system. Agents analyze claims found in uploaded documents against publicly available data and cite links so you can inspect the sources behind each conclusion.
Serious risks, contradictions, missing evidence, or claims that do not appear to be supported by public data.
Areas that need clarification, follow-up questions, or additional diligence before an investment decision.
Positive signals, validated claims, strong public evidence, or promising company indicators.
Once the run is complete, continue working with the report. Ask follow-up questions, clarify details, upload more information, and retrigger agents for deeper research.
Customize diligence around your fund’s strategy, thesis, check size, geography, stage, sector preferences, portfolio, and IC criteria. Reports become tailored to how your fund actually invests.
Startup Due Dil is built so uploaded materials and generated reports are visible only to you. Session paths are hidden, and you can delete a full run whenever needed. Startup Due Dil developers do not review your files or reports by default.
Due diligence runs through temporary model sessions. OpenAI and Anthropic may temporarily process data to generate the report, but Startup Due Dil is designed to minimize unnecessary exposure and keep your materials private by default.
My name is Vlad Tislenko. I’m a partner at SMRK VC and created Startup Due Dil after years of working with startup diligence workflows and experimenting with AI automation.
In 2023, I built Pitch Deck Analyzer, a GPT-based project that helps entrepreneurs and investors analyze and improve pitch decks. The project has reached more than 10,000 users.
Startup Due Dil is the next step: a faster and deeper way to run startup due diligence so investors can spend more time on judgment, and founder conversations.
Start with one report or use Startup Due Dil as a lightweight diligence workspace for your fund.
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