AcquiFlow by NexTax.AI

New pre-LOI deal decision engine for SMB buyers (15k+ closed comps + Free access We built a platform to help answer one question: should you actually sign an LOI and buy this business? Most deals look fine on the surface. Clean revenue, decent SDE, reasonable asking price. Then you actually underwrite it, and the cracks start showing up fast. The add-backs that don't hold. A DSCR that collapses under mild downside pressure. Pricing that ignores what comparable deals actually closed at. The problem isn't that buyers are careless. It's that the underwriting context, lender thresholds, real comp data, and stress scenarios aren’t surfaced until you're already knee deep in a deal. How to use: - Visit website (below/in my bio) -> enter email -> click on link that is sent - Start adding deals (at least 2, minimum is suggested for best results) - Click on each added deal (“My Deals” tab) to check underwriting outputs - Compare deals vs other deals / live & closed benchmarks (“Compare” tab) - Review for local market competition & insights (“Market Intel” tab) Drop it into the platform and less than 60 seconds later: That's the full initial picture before you've spent a dollar on QoE or wasted time on a deal that won't get funded. When the deal is clicked into on the “My Deals” tab, the underwriting panel breaks it down even further by: Stress Test, Lender Readiness, SBA Finance, Negotiation, LOI Builder, Deal Memo, and Market Comps (Benchmarks). Also, if you're tracking multiple deals at once, the Compare feature is where it gets really useful. Once your deals are in the system, you can put them head-to-head. The platform picks a winner across four categories: Pricing, Coverage, Quality, and Risk. It then tells you exactly what would have to change for the losing deal to flip. You can also benchmark any deal against: • Live market listings — see where your multiple sits vs. what sellers are currently asking in that industry • Closed transactions — see where deals actually closed, not just listed (closed multiples run ~14% below asking on average, giving you the data to anchor your LOI) What the platform actually does: You add in the basics for each deal: asking price, revenue, SDE, industry & location. That's it. No more spreadsheets. All deals you add are saved to your profile, to compare against future deals, and benchmark against live and closed comps. The platform normalizes the earnings, benchmarks the deal against 15,000+ historical closed transactions and live listings, stress-tests the debt coverage, and returns a clear verdict: → High Conviction / Pursue / Investigate / Pass It also tells you: • Where the deal sits vs. comparable closed transactions (percentile + comps table) • Whether it passes SBA lender thresholds and where it breaks • Your negotiation anchor, target range, and walk-away price • Local market competition density and saturation before you sign anything What makes it different: There are other tools that analyze deals. This one forces a decision. Every deal comes out with a structured answer: what you should offer, how to justify it, when to walk, and what to validate before LOI. The scoring is built on real underwriting logic: normalized earnings, DSCR thresholds, percentile positioning against closed comps. This decision engine, and its datasets were carefully structured leveraging my background in public accounting (EY) and private equity (Morgan Stanley). This is not black-box AI guessing and blind deal scraping. The data backing it: - 15,750+ closed transactions (from our broker contacts, deals we’ve analyzed, and multiple industry-licensed sources), - 19,250+ benchmarked financial statement sets (RMA/ProSight), and - 1,500+ live deals (a blend of off-market broker and marketplace deals) The transactions above were selected in the $250k - $10M range and are currently tracked across 41 of the most common SMB industries. Each week, we are adding 100+ live deals and new industries for which we already have the closed + financial sets for (so as the number of industries increases, so will the data). If you are currently working on reviewing deals for an industry that is not listed, let me know here in the comments section, and we’ll prioritize adding to the database for the next run. In addition, there's a Local Market Competitor / Saturation tool to help research the industry in the location that you are looking to acquire. What the Local Market Intelligence report actually outputs: For any deal in your pipeline, you enter city/state and a search radius. That's it. The platform pulls live competitor data and returns: • Saturation score (0–100, from Low → Critical) • Total competitor count — broken down by Direct / Indirect / Franchise / Adjacent • Market density — competitors per 10K population and population per competitor vs. national benchmarks • Competitor tier distribution — Premium / Mid-Market / Value / Budget breakdown (this surfaces where the white space actually is) • Google ratings + review density per competitor (Pro) • Estimated revenue per competitor and total addressable market revenue in the trade area (Pro) • Named competitor list with distance, rating, and estimated revenue (Pro) • AI-generated strategic assessment — plain language readout of what the market means for an acquisition, including opportunity angle and key risks 🔗 [nextax.ai/buyer-dashboard] — Free to start