AcquisitionMaxx mirrors ExitMaxx from the investor side — evaluating targets, scoring risk, modelling valuation and generating investor theses using multi-agent orchestration and AI diligence flows.
Powered by GhostGrid, ThinkMaxx, GAB, Vault, Oracle/Talon, TraceMaxx and MCS.
Use AcquisitionMaxx as a scanning console: load a batch of companies and let the engine surface which are worth real diligence.
| Company | Sector | Stage | Signal Strength | Deal Score |
|---|---|---|---|---|
| Target A | Agentic automation | Seed | High | 78 |
| Target B | Industrial AI | Series A | Medium | 69 |
| Target C | Workflow SaaS | Bootstrapped | Low | 52 |
Mirror of ExitMaxx’s internal scoring, but from the buyer lens: product depth, architecture, moat and sector fit.
Turn fuzzy risk conversations into a structured risk score.
Where and how does the target snap into your stack, customers and roadmap?
| Dimension | Fit | Notes |
|---|---|---|
| Product Stack | High | Agentic orchestration complements core platform, minimal overlap with existing tools. |
| Customer Base | Medium | Strong in industrial / SMB where acquirer wants to grow. |
| Go-To-Market | Medium | Founder-led sales; needs scaling via acquirer’s channels. |
| Culture & Team | High | Lean technical team, builder mindset, compatible with acquirer culture. |
Same modular design and scraping. Different end user. ExitMaxx is founder-side; AcquisitionMaxx is investor-side.
| Aspect | ExitMaxx (Founder) | AcquisitionMaxx (Investor) |
|---|---|---|
| Core Question | “When and how should we exit?” | “Should we buy this company and on what terms?” |
| Primary User | Founders, operators, CFO/COO | Investors, corp dev, PE analysts |
| Key Artifact | Exit Readiness Report, valuation band, buyer radar | Deal Memo, risk summary, integration fit, valuation band |
| Shared Engines | ThinkMaxx, GAB, GhostGrid, Vault, TraceMaxx, Oracle/Talon | Same engines and schema, oriented to targets instead of self. |