Shepi
Ai
Shepi launched on February 23, 2026 with 3 votes, #3,487 of 16,628 launches that month and more than 50% of that year's launches.
What it does
Traditional Quality of Earnings reports cost $20K-$100K+ and take 4-8 weeks. Shepi changes that. Import your trial balances and bank statements, follow a structured QoE framework designed by M&A professionals, get AI-assisted anomaly detection and adjustment suggestions, and export lender-ready reports — all in hours. 80% faster at a fraction of the cost. Built for deal teams, PE firms, brokers, and accounting firms.
AI-assisted Quality of Earnings analysis for SMB M&A due diligence. Built for independent searchers, lower-middle-market PE, CPA firms, and SBA lenders.
From raw financials to lender-ready conclusions — in hours, not weeks. shepi lets you run a professional-grade Quality of Earnings analysis — identifying adjustments, risks, and normalized earnings through a structured, traceable workflow. Built for deal professionals who need speed without sacrificing credibility. For most buyers and advisors, Quality of Earnings analysis remains out of reach — too expensive, too slow, and too complex. Some deals under $10M may not get a proper Quality of Earnings analysis. shepi changes that. shepi produces the same structured analysis — EBITDA adjustments, working capital, proof of cash — without the traditional engagement timeline or price tag. Starting…from shepi.ai
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Provafi2025 · provafi.com · ▲7I'm Matt, a financial analyst who got tired of waiting weeks for Quality of Earnings reports as a part of financial due diligence. The problem hits anyone evaluating acquisitions, investments, or partnerships: - QoE reports cost $20k-$40k and take 2+ weeks, even for smaller deals - Fees aren't recoverable when deals fall through - Delays kill momentum – many red flags could be spotted immediately - You're stuck doing manual Excel cleanup while waiting for basic insights So I built Provafi – an AI-powered tool that gives you the core financial insights in minutes, not weeks: - Instant data…
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