Detection of Hidden Venture Risks: Analysis of Contradictory Data for Investors
The venture capital and startup market is a critical driver of innovation and technological progress in the modern economy. However, evaluating early-stage startups (Seed, Series A) faces significant challenges due to high uncertainty, a lack of reliable historical financial data, and the presence of conflicting qualitative evidence. Traditional methods, such as SWOT analysis and discounted cash flow (DCF) models, are often descriptive, static, or reliant on unverified assumptions, making them inadequate for quantitative risk assessment in such environments.