Leaf-Level Risk Checks
Structured taxonomy
Risk Categories
Comprehensive coverage
Dollar Quantification
Impact estimates
Full Risk Scan
Per data room
The five places losses hide.
300+ leaf-level risk checks, reconciled across every document in the data room.
Legal & Compliance
- Ongoing litigation exposure
- Regulatory compliance gaps
- IP ownership disputes
- Contract termination clauses
Financial Risks
- Revenue concentration
- Working capital constraints
- Debt covenant triggers
- Off-balance sheet liabilities
- Earnings quality issues
- Revenue recognition anomalies
- Related-party transaction flags
Commercial & Market
- Customer churn patterns
- Competitive displacement
- Pricing pressure
- Market share erosion
Technology & IT
- Technical debt levels
- Security vulnerabilities
- Integration complexity
- Key system dependencies
Human Resources
- Key person dependency
- Retention risk post-close
- Cultural integration
- Compensation gaps
Cross-Category Analysis
Risks don't exist in isolation. Our AI identifies dependencies and cascading effects across categories to surface compound risks.
From Risks to Dollar Values
Every risk is quantified so you can make informed investment decisions
Dollar-Value Impact
Every risk is quantified with low, mid, and high impact estimates in actual dollar terms.
Probability Scoring
AI estimates the likelihood of each risk materializing based on document evidence and patterns.
Materiality Ranking
Risks are ranked by expected value (probability × impact) to prioritize due diligence focus.
Sensitivity Analysis
See how identified risks affect valuation across different scenarios and assumptions.
Example Risk Output
Customer Concentration
Top 3 customers represent 58% of ARR. Loss of any single customer would materially impact valuation.
Low
$2.5M
Expected
$8.2M
High
$15.0M
Pending Litigation
Patent infringement claim filed Q2 2024. Management estimates low probability of adverse outcome.
Low
$500K
Expected
$2.1M
High
$5.0M
Key Person Dependency
CTO holds critical relationships with top 2 customers. No succession plan documented.
Low
$1.0M
Expected
$3.5M
High
$7.0M
AI-Powered Risk Detection
Document Analysis
AI reads every document in your data room, extracting entities, relationships, and potential risk indicators.
Pattern Matching
Trained on thousands of deals, our models recognize risk patterns that humans often miss in dense legal and financial documents.
Quantification
Each risk is assigned probability scores and dollar-value impact ranges based on document evidence and comparable deals.
Prioritization
Risks are ranked by materiality score (probability × impact) so you know exactly where to focus your diligence efforts.