AI analyzes startup narrative, code, and revenue to detect hidden risks — so you invest with confidence.
Core Intelligence Layers
What Veridue Does
Veridue doesn’t just analyze startups — it surfaces the gaps between what founders say and what the underlying data actually reveals.
Narrative Analysis
Detects inconsistencies between founder claims and real operating performance.
Code Intelligence
Scans architecture, identifies technical debt, and flags scalability risk.
Revenue Truth
Uncovers ghost churn, fake growth signals, and unstable revenue patterns.
Risk Detection
Aggregates all signals into a clear, investor-friendly integrity view.
Workflow
How It Works
From startup story to investor-ready intelligence in one clean workflow.
Add Startup Context
Input startup narrative, market story, and company profile.
Connect Data
Link GitHub repositories, revenue files, or other diligence sources.
AI Deep Analysis
Veridue scans technical, narrative, and financial signals together.
Investor Verdict
Get risk breakdowns, critical questions, and a final recommendation.
Agent Intelligence
Live AI Analysis
Watch Veridue work through startup systems like an autonomous diligence copilot.
VeriDue Terminal
Results
AI Insights
A quick investor view of startup integrity across core dimensions.
Risk Categories
Consistency Check
Narrative vs Reality
What founders say versus what the data actually supports.
"We have 10x MoM growth"
Revenue grew 2.3x in the last 6 months with a declining trajectory.
"Our tech stack is production-ready"
Strong test coverage and CI/CD signals, though some scaling risks remain.
"We are market leader in our segment"
Only 3rd by revenue, with 2 competitors growing faster.
"Retention is excellent"
Inactive paying users suggest hidden churn and weaker retention than claimed.
Diligence Questions
Key Investor Questions
Critical questions generated from the analysis to guide the next conversation.
What explains the revenue plateau in Q3 despite claimed growth?
Why are 40% of GitHub commits from a single contributor?
Can the team demonstrate CAC payback under 18 months?
What is the retention rate beyond the first 90 days?
How does the burn rate align with the stated runway?
Final Recommendation
Proceed with Caution
While the technical foundation appears solid, revenue claims show meaningful discrepancies. Further diligence on retention, churn, and dependency concentration is recommended.
Ready to analyze your next investment?
Turn startup stories, code, and revenue into investor-grade intelligence.