Startup Due Dil, a newly launched AI-powered web application, is automating a traditionally time-intensive process in venture capital: startup due diligence. The platform, developed by Vlad Tislenko, a partner at Ukrainian venture capital firm SMRK VC, uses ten specialized artificial intelligence agents to collect, verify, and structure information about startups, producing a comprehensive initial report in approximately ten minutes.
Addressing a Persistent Pain Point
Due diligence remains one of the most resource-intensive stages of venture investment. Investors must thoroughly examine a startup’s business model, financials, legal status, market position, and team credentials before committing capital. Traditionally, this investigation involves manual research across multiple sources, cross-referencing data, and compiling findings into structured formats—a process that can consume weeks of analyst and partner time.
Tislenko identified a clear opportunity in this workflow. As he explained, “When analysing startups systematically, the most time‑consuming part is finding, verifying, and structuring information.” Rather than replacing human judgment entirely, Startup Due Dil focuses on automating the foundational research and information-gathering phase, allowing investment professionals to concentrate on deeper analysis and decision-making.
How the Platform Works
The platform operates through a network of specialized AI agents designed to investigate different aspects of a startup’s profile. Each agent targets specific information categories, from company registration and regulatory compliance to team backgrounds and market positioning. By working in parallel and coordinating their findings, these agents produce a structured report that investors can use as a starting point for more detailed evaluation.
The ten-minute turnaround represents a significant efficiency gain compared to traditional methods. The output is standardized and organized, reducing the preliminary analysis time that typically precedes investment committee presentations and final due diligence decisions.
European Context
The launch reflects broader trends in how European venture capital is adapting to artificial intelligence. Investment firms across the continent are increasingly exploring AI tools to handle administrative and research-heavy tasks, from portfolio company monitoring to deal sourcing and initial screening. Ukrainian startups, despite ongoing geopolitical challenges, continue contributing innovations in the software and AI sectors, with founders like Tislenko leveraging their expertise to build solutions for international markets.
Startup Due Dil enters a landscape where efficiency improvements in venture operations are gaining traction. While many European VC firms have traditionally relied on established processes and team expertise, pressure to accelerate deal flow and reduce operational costs has created demand for intelligent automation tools. The platform’s success will depend on how accurately its AI agents can aggregate and verify information, and whether investors find the structured reports sufficiently reliable to reduce their own research burden.
As European venture investors face increasing competition for deal flow and rising operational costs, tools that promise to streamline administrative workflows without compromising due diligence quality are likely to attract attention from firms seeking competitive advantages in their investment processes.