ExitMaxx v2 is an agentic automation console that scores exit readiness, models valuation bands and generates playbooks using multi-agent orchestration, AI Ops and governed decision reviews.
Powered by GhostGrid, ThinkMaxx, GAB, Vault, MCS and CommanderMaxx. Mirrors AcquisitionMaxx on the investor side.
Conservative: $3.0M
Moderate: $4.5M
Optimistic: $6.5M
Driven by ARR, IP weight, vertical wedge and current revenue multiples in agentic automation.
ExitMaxx v2 fuses internal maturity, external market heat and buyer radar into a single signal engine.
Five components, normalised and weighted. Founder can adjust weights to reflect strategy.
| Score Band | Label | Guidance |
|---|---|---|
| 0–49 | Stabilise & Harden | Focus on platform maturity, tests, governance and internal readiness before scaling or fundraising. |
| 50–59 | Seek Focused Pilots | Target pilots in manufacturing / vertical wedge, validate ROI, refine consoles and workflows. |
| 60–75 | Engage Investors | Court growth capital, strengthen brand and narrative, prepare data room skeleton, continue building traction. |
| 80+ | Initiate Exit Conversations | Identify top buyers, align narrative with their gaps, activate advisors or M&A brokers, formalise exit processes. |
ExitMaxx v2 converts score bands into a concrete playbook for founders.
ExitMaxx v2 uses a domain-specific readiness diagnostic inside the canonical ThinkMaxx governance loop: Scan → Frame → Decide → Act → Verify → Record → Continue.
ThinkMaxx analyses current metrics and market signals: where are the gaps?
Summarise platform status, ARR, buyer radar and market heat into a unified state snapshot.
GAB routes tasks to news/funding APIs, Vault and GhostHunter to gather missing data.
ThinkMaxx proposes strategies: stabilise, seek pilots, raise, initiate exit.
Concrete tasks are created for LaunchMaxx / CommanderMaxx: intros, case study builds, IP filings.
Evaluate impact of last cycle: did score, valuation, buyer interest improve?
Update strategy, adjust weights, log learnings and schedule the next loop.
| Tier | Profile | Typical Valuation |
|---|---|---|
| Tier 1 | Functional multi‑agent platform + pilots | $3M–$7M |
| Tier 2 | Growing agentic platform + customers | $7M–$25M |
| Tier 3 | Large enterprise agent systems | $50M–$500M+ |
ExitMaxx is founder‑side. AcquisitionMaxx is investor‑side. Both share the same GhostGrid Entity Schema and scoring concepts.
| Aspect | ExitMaxx (Founder) | AcquisitionMaxx (Investor) |
|---|---|---|
| Primary Question | “When should we exit and at what valuation?” | “Which company should we buy and at what price?” |
| Focus | Internal maturity, deployment traction, exit timing. | Target depth, integration fit, risk and upside. |
| Score | Exit Readiness Score (0–100). | Acquisition Attractiveness Score (0–100). |
| Shared Ontology | GhostGrid Entity Schema for engines, consoles, signals. | Same schema for targets, deals, risks and synergies. |