Summary
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- Model
- Subscription with per-project pricing
- Pricing
- $4000/month with 3 projects included or $2000 per project
- Build time
- More than 2 weeks
Quality of Earnings Analysis
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.
AI snapshot
Project insights
Auto-detected by AIShepi provides AI-powered Quality of Earnings analysis for M&A professionals, enabling fast, credible financial due diligence in hours instead of weeks.
- Monetization
- Subscription with per-project pricing
- Pricing detected
- $4000/month with 3 projects included or $2000 per project
- Build complexity
- More than 2 weeks
- Target audience
- Deal professionals, private equity firms, independent searchers, CPA firms, and SBA lenders involved in SMB M&A due diligence.
Problem solved
M&A deal professionals need to perform detailed Quality of Earnings analyses quickly without sacrificing accuracy or credibility, which traditionally takes weeks.
Key features
- AI-powered extraction and processing of raw financial data
- Structured, traceable workflow for Quality of Earnings analysis
- Automated EBITDA adjustments and risk identification
- Secure data handling with encryption and strict access controls
- Export lender-ready Quality of Earnings reports
Stack detected
Reproducible playbook
Focus on building a secure, structured workflow that guides users through complex financial analysis with AI assistance. Integrate automated data extraction and support multiple input formats like PDFs and accounting integrations. Prioritize data privacy and compliance to build trust with professional users.
AI-generated suggestions based on this project — not a statement from the founder.
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