PV provides investors with an AI‑driven platform that benchmarks startups against more than 15,000 data points to predict success with roughly 96% accuracy. The multi‑agent AI generates a detailed PV Report that scores momentum, team strength, and risk, delivering actionable investment recommendations and red‑flag alerts for faster, data‑backed deal screening.
Funding
Funding not disclosed
Founders
Product
Problem
Investors often rely on limited qualitative assessments and fragmented data when evaluating early‑stage startups, leading to time‑consuming due diligence and a high risk of overlooking promising opportunities or backing under‑performing companies.
Solution
PV offers an AI‑driven evaluation platform that benchmarks each prospective investment against more than 15,000 historical data points collected over five decades. Its multi‑agent AI stack analyzes momentum, team strength, market dynamics, and risk factors to generate a quantified success probability with approximately 96% accuracy. The system produces a concise, explainable report that highlights the success score, key drivers, red‑flag risks, and actionable recommendations, enabling investors to prioritize deals quickly and make data‑backed decisions. By automating the screening process, PV reduces manual analysis time and improves the consistency of investment judgments across a portfolio.
Target Audience
Primary customers are angel investors, venture capital firms, and corporate investment teams that need to screen large volumes of startup deals efficiently.
Features
- Deal Data Engine that aggregates and normalizes over 15K data points for each startup
- Multi‑agent AI analysis assessing momentum, team quality, market fit, and risk signals
- Explainable PV Report with success probability, benchmark comparisons, and tailored investment recommendations
- API access for integration with existing deal‑flow and CRM systems
- Scalable report generation (up to 200 reports per month in the VC Core plan)
- Custom branding options for firm‑specific presentation of analysis results