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EXITMAXX v2 · DUAL‑SIDED EXIT INTELLIGENCE

Agentic Exit Intelligence for Founders & Investors

ExitMaxx v2 is an agentic automation console that scores exit readiness, models valuation bands and generates playbooks using multi‑agent orchestration, AI Ops and DSISTAR loops.

Powered by GhostGrid, ThinkMaxx, GAB, Vault, MCS and CommanderMaxx. Mirrors AcquisitionMaxx on the investor side.

Founder Dashboard · Exit Snapshot

68
Build pilots & ARR · not yet optimal exit window
Agentic automation market: Hot Buyer radar: Warming Risk & governance: Improving

Conservative: $3.0M
Moderate: $4.5M
Optimistic: $6.5M

Driven by ARR, IP weight, vertical wedge and current revenue multiples in agentic automation.

Guardrail: never sell >75% in first transaction Runway: maintain > 9–12 months

Highlights

Comprehensive Signal Engine

ExitMaxx v2 fuses internal maturity, external market heat and buyer radar into a single signal engine.

Exit Readiness Model · v2 (0–100)

Five components, normalised and weighted. Founder can adjust weights to reflect strategy.

Component
Weight
Score (0–30/20/15)
Normalised
Contribution
Platform Maturity
21 / 30
0.70
21.0
Deployment Traction
12 / 20
0.60
12.0
Market Heat
16 / 20
0.80
16.0
Buyer Appetite
9 / 15
0.60
9.0
Risk & Governance
10 / 15
0.67
10.0
Total
68.0

Score Bands & Guidance

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.

Exit Playbook Generator

ExitMaxx v2 converts score bands into a concrete playbook for founders.

Plays by Component

DSISTAR Loop · ExitMaxx Workflow

ExitMaxx v2 is modelled as a DSISTAR loop: Diagnosis → Situation → Information → Solution → Tasks → Analysis → Response.

D · Diagnosis

ThinkMaxx analyses current metrics and market signals: where are the gaps?

S · Situation

Summarise platform status, ARR, buyer radar and market heat into a unified state snapshot.

I · Information

GAB routes tasks to news/funding APIs, Vault and GhostHunter to gather missing data.

S · Solution

ThinkMaxx proposes strategies: stabilise, seek pilots, raise, initiate exit.

T · Tasks

Concrete tasks are created for LaunchMaxx / CommanderMaxx: intros, case study builds, IP filings.

A · Analysis

Evaluate impact of last cycle: did score, valuation, buyer interest improve?

R · Response

Update strategy, adjust weights, log learnings and schedule the next loop.

Valuation & Comparables

Comparable Tiers

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 & AcquisitionMaxx · Dual‑Sided View

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.

Brand & Narrative Hooks

ThinkMaxx Core Online GhostGrid Connected ExitMaxx v2 Loop: Weekly · DSISTAR orchestrated