Score Your Product for Investor Conversations
As a founder or CEO, you want to score your product so that you have data-backed positioning for investor conversations, board updates, and strategic planning. A DAC-score gives you an objective, framework-grounded assessment of where your product stands on AI maturity.Why investors care about AI maturity
Investors increasingly evaluate AI-nativeness as a core differentiator. A Dacard.ai score provides:- Objective positioning: Where your product sits on the Foundation-to-Compounding spectrum
- Defensibility evidence: Specific dimensions showing your competitive moat
- Growth lever identification: The highest-impact areas to invest in next
- Benchmark context: How you compare to peer companies at your stage
Score your product
Navigate to /score
Open app.dacard.ai/score.
Enter your product URL
Use your main marketing or product page. This gives the broadest signal coverage.
Add context (recommended)
Click Add context and include a brief description: what your product does, who it serves, and your company stage (e.g., “Series A, 12-person team, developer tools for ML teams”).
Frame your score for investors
If you score Foundation or Building (24-52)
This is normal for pre-seed and seed companies. Frame it as:- “We have identified exactly where our AI maturity gaps are and have a prioritized plan to close them”
- “Our scoring shows we are strong in [top dimensions], which aligns with our core differentiation”
- “We are investing in [specific gap areas] this quarter, which should move us to Scaling by [timeline]“
If you score Scaling (53-67)
This is strong for Series A and early Series B. Frame it as:- “Our AI maturity places us in the top tier for our stage”
- “We have systematic processes across [strong functions] and are actively building [growing functions]”
- “Our compound readiness assessment shows alignment between team capability and product AI-nativeness”
If you score Leading or Compounding (68-96)
This is exceptional at any stage. Frame it as:- “Our AI maturity score places us in the Leading/Compounding tier, meaning AI is deeply integrated across our product, team, and business model”
- “Our data flywheel is active: every user interaction improves the product”
- “Our operations maturity matches our product maturity, indicating sustainable execution”
Score your competitors
One of the most powerful founder use cases is scoring competitor products:Score 3-5 competitor URLs
Enter competitor product URLs to get their maturity scores. These are based on public signals only.
Compare dimension by dimension
Open each report and compare specific dimensions. Where do you lead? Where do they?
Key metrics for investor decks
Pull these from your Dacard.ai reports:| Metric | Where to find it | How investors read it |
|---|---|---|
| Overall maturity stage | Top of maturity report | Quick positioning signal |
| Function averages | Dimension breakdown section | Shows balanced vs. lopsided capability |
| Strengths (top 3) | Strengths section | Evidence of differentiation |
| Score trajectory | Dashboard (if re-scored) | Shows improvement momentum |
| Competitive comparison | Side-by-side scores | Relative positioning |
Next steps
Understand tensions
Learn how people, process, and product tensions affect your growth.
Share your scorecard
Generate shareable links for investors and board members.
Get AI coaching
Ask DAC to help you build an investor-ready improvement narrative.
Benchmark against peers
See how your score compares to companies at your stage.