Pre-LOI Risk Scoring & Post-Close Forecasting
Find blind spots before you
commit capital
Due diligence misses material risks that blow up returns post-close. SimOracle surfaces regulatory exposure, supply chain fragility, litigation docket threats, and earnings cliff probability—before you pay.
Typical PE portfolio activity
Target IRR expectations
Blind spot risk per deal
The PE Due Diligence Gap
Without SimOracle
- ✗ Regulatory risks surface post-LOI (too late)
- ✗ Supply chain single points of failure hidden
- ✗ Litigation docket exposure underestimated
- ✗ Earnings cliff probability unknown
- ✗ Management benching risk missed
With SimOracle
- ✓ Pre-LOI regulatory risk scoring
- ✓ Supply chain fragility mapping
- ✓ Litigation portfolio analysis
- ✓ Post-close earnings cliff prediction
- ✓ Management retention risk quantification
Six Core Simulations
Pre-LOI Regulatory Risk Scoring
Model industry regulatory enforcement patterns. Score target exposure to SEC, FTC, EPA, and state-level enforcement based on historical data, DOJ priorities, and pending legislation.
Supply Chain Acquisition Impact
Simulate supply chain disruption cascade if key suppliers fail or are acquired by competitors. Model geographic, regulatory, and concentration risk. Quantify revenue cliff probability.
Litigation Docket Monitoring
Map target's open litigation, settlement risk, appeal status, and tail exposure. Model how pending cases could cascade into post-close cash drain or reputation risk.
Post-Close Earnings Surprises
Forecast where earnings will miss guidance: customer churn, margin compression, working capital deterioration. Simulate integration risks that blow the initial thesis.
Management Benching & Turnover Risk
Model management retention probability post-acquisition. Identify key persons whose departure would collapse value creation plan and forecast replacement difficulty.
Earnout Probability & Economics
Model earnout trigger probability and payout variance. Simulate seller behavior incentives and estimate true cost of seller financing embedded in the deal.
Private Equity Value Math
Typical PE Fund
SimOracle Impact
FAQ
When should we run SimOracle analysis—pre-LOI or post-LOI?▼
Both. Pre-LOI: quick regulatory and supply chain risk scoring to vet sourcing. Post-LOI: deep dives on litigation, management retention, earnout probability, and earnings cliff risk. We'll show you what standard DD missed.
How do you avoid false positives on regulatory risk?▼
We model enforcement probability based on historical DOJ/SEC/FTC priority areas, past cases in target's industry, and pending legislation. We're not just flagging "has regulatory risk"—we're modeling actual probability and impact scenarios.
Can SimOracle help with earnout negotiations?▼
Yes. We simulate earnout trigger probability and help you understand seller incentive misalignment. If earnout is probable but seller will fight to avoid payout, that's a negotiation edge. We quantify that dynamic.
Does SimOracle replace quality of earnings?▼
No. QoE is backward-looking: "What did earnings actually look like?" SimOracle is forward-looking: "Will post-close earnings disappoint, and why?" Use both. QoE validates historical numbers; SimOracle predicts where they'll diverge from guidance.
How do you model management retention?▼
We analyze founder/CEO age, wealth, earn-out size, change-of-control triggers, and replacement difficulty in target's industry. We model historical PE exit patterns and predict retention probability for key persons.
Can you analyze portfolio companies post-close?▼
Yes. Monitor portfolio company earnings cliffs, management churn, competitive threats, regulatory exposure, and strategic pivots. Early warning system for exit timing and value creation risk.
Catch blind spots before closing
Leading PE firms are using SimOracle to surface post-close risks before they commit capital.
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