AI-Powered Commercial Due Diligence
Diligence That Sees What Spreadsheets Can't
AI-powered commercial due diligence for PE and VC firms. We turn raw data into conviction — before you sign the LOI.
Trusted across verticals
Who is Davin AI for?
Private Equity Firms
AI-powered commercial due diligence that delivers quantitative rigor and defensible insights for buyout and growth equity investments.
Venture Capital Firms
Data-driven market sizing, competitive dynamics, and growth trajectory analysis for early and growth-stage investments.
Growth Equity
Statistical modeling of unit economics, retention cohorts, and pricing power to validate scaling potential.
Corporate M&A Teams
Independent commercial assessment of acquisition targets with machine learning-driven competitive and market analysis.
Family Offices
Institutional-grade due diligence insights tailored for direct investment and co-investment opportunities.
What does Davin AI do?
AI-Powered Data Analysis
Our engine ingests proprietary, public, and alternative data sources — from SEC filings to web-scraped pricing data and patent databases. Statistical and ML models stress-test every hypothesis.
Learn about our process→Intelligent Insight Extraction
We quantify market sizing, competitive positioning, churn drivers, and pricing power. Every claim is backed by hypothesis testing, confidence intervals, and regression analysis.
See our technology→Board-Ready Deliverables
You receive a board-ready report with clear findings, risk flags, and an appendix of methodology — then we defend it live with your investment committee.
Get in touch→Capabilities
What Sets Us Apart
Purpose-built technology combined with deep domain expertise in private capital markets.
Statistical Rigor
Every claim is backed by hypothesis testing, confidence intervals, and regression analysis — not anecdote. We bring academic-grade methodology to deal timelines.
Machine Learning
Proprietary NLP models extract signal from earnings calls, reviews, job postings, and patent filings. Clustering algorithms reveal competitive dynamics invisible to manual research.
Speed
Automated data pipelines and pre-built analytical modules compress a 6-week engagement into 8 days without sacrificing depth or defensibility.
Security
All data processing occurs in isolated client environments. SOC 2 Type II compliant infrastructure with end-to-end encryption and strict access controls.
Industries
Deep Expertise Across Sectors
Sector-specific analytical frameworks built from hundreds of engagements.
Healthcare & Life Sciences
Reimbursement modeling, regulatory pathway analysis, and patient-population sizing.
Technology & SaaS
Cohort retention analysis, net revenue retention modeling, and competitive moat quantification.
Financial Services
Regulatory risk mapping, portfolio concentration analysis, and fintech disruption scoring.
Consumer & Retail
Brand sentiment tracking, pricing elasticity modeling, and channel economics analysis.
Industrials & Manufacturing
Supply chain resilience scoring, capacity utilization modeling, and cyclicality risk assessment.
Business Services
Revenue concentration analysis, contract renewal modeling, and cross-sell / upsell quantification.
Energy & Infrastructure
Commodity exposure modeling, regulatory transition risk, and asset utilization benchmarking.
Media & Telecom
Subscriber churn modeling, ARPU trajectory analysis, and content ROI benchmarking.
Diligence Reports Delivered
Transaction Value Analyzed
Average Day Turnaround
Industry Verticals Covered
What Our Clients Say
“Davin AI delivered a level of quantitative rigor we've never seen from a traditional diligence provider. Their market sizing model alone changed our underwriting.”
Latest from our team.
FTX, Theranos, and What Happens When Diligence Fails
A forensic look at the commercial warning signs that traditional diligence providers missed in two of the decade's largest frauds.
Decoding the Amazon Innovation Flywheel
How we quantify competitive moats using network-effect modeling and pricing elasticity analysis.
When Data Is Too Big: Signal vs. Noise in CDD
More data doesn't mean better answers. Our approach to separating signal from noise in large alternative datasets.
Frequently Asked Questions
Ready to pressure-test your next thesis?
Whether you're two weeks from IC or just starting to evaluate a sector, we'll show you what AI-powered diligence can surface.
jdavin@davinai.com