Latest from DDScore
We Are Founders Interviews DDScore’s Mikko Heilimo
We Are Founders interviews DDScore Founder and CEO Mikko Heilimo about preparing to raise, gaps in pitch materials, and learning from an outside assessment.
Mikko Heilimo on AI, Work, and Human Judgment
On Tekoälyttäjät, DDScore CEO Mikko Heilimo discusses AI agents, changing work, practical learning, and the human judgment behind better decisions.
Your Report Says 1.7×. You're Building for 20×.
Use the findings behind a 1.7× estimate to plan for a 20× outcome: test demand, differentiation and scale, then turn each move into evidence.
Mikko Heilimo on Vedonlyöntistudio: Forecasting and AI Models
DDScore CEO Mikko Heilimo discusses betting models, prediction uncertainty, overfitting and how AI helps build and test forecasting tools.
SB Energy IPO: DDScore 45 and the Cost of Delivering AI Infrastructure
SB Energy IPO analysis: DDScore 45/100, contracted backlog, project financing, revenue components and shareholder economics.
Oura IPO: DDScore 71 and the Questions Behind the Growth
Read the Oura IPO DDScore report: score 71/100, membership growth, hardware margins, valuation assumptions and legal risks ahead of the proposed Nasdaq listing.
DDScore CEO Mikko Heilimo Joins Tekoälykästä to Discuss AI and Small Business Work
DDScore Founder and CEO Mikko Heilimo joined Heidi Rissanen to discuss how AI is changing the daily work of small-business owners and solo entrepreneurs, which skills matter, and…
Startup Use of Funds: Build Evidence Checkpoints
A practical founder and investor framework for turning startup use-of-funds budget lines into testable evidence checkpoints.
DDScore CEO Mikko Heilimo Joins InderesPodi to Discuss AI in Investment Analysis
DDScore Founder and CEO Mikko Heilimo joined Kasper Mellas on InderesPodi to discuss how AI can support investment analysis, why general-purpose AI tools are not enough on their…
Aura Consolidated Group IPO DDScore Report
Read the DDScore IPO report for Aura Consolidated Group, Inc. covering the Qoria merger, ASX listing under AXQ, DDScore 51, key risks, financials and fundability.
The Control Problem in Business Application Review
Seven recurring risk patterns that narrative business application review often misses when public funding, lending or institutional support decisions are made.
Why Founders Can't See What Investors See: Nine Patterns
Nine recurring pitch deck and investment-material patterns that founders often miss before investors form their first view.
Neu Horizon Uranium Limited IPO DDScore Report
Read the DDScore IPO report for Neu Horizon Uranium Limited, ASX ticker NHU, covering DDScore 36, uranium exploration risk, no revenue, pre-resource assets and fundability.
SpaceX IPO DDScore Report
Read the DDScore IPO report for Space Exploration Technologies Corp. (SpaceX), covering DDScore 77, Starship execution risk, Starlink ARPU compression, regulatory exposure and a…
First-Pass Due Diligence FAQ
A first-pass due diligence FAQ for investors reviewing pitch decks, private company materials, risk signals, AI analysis and deeper diligence decisions.
No Training on Your Data Is Not the Same as No Data Retention
Understand the difference between AI training and data retention, and what to check about deletion, processing locations and confidentiality.
Pitch Deck Quality Is Not Investment Quality
A polished pitch deck can hide weak assumptions. Learn what an initial review should check about demand, competition, finances and execution.
DDScore.ai Launches AI-Assisted Due Diligence
DDScore launches AI-assisted company analysis across 12 dimensions, combining submitted materials, market information and financial stress-testing.
Why Investment Risk Is Never One Thing
Explore how market, team, financial and competitive assumptions interact, and why due diligence needs to examine those connections.
DDScore.ai Begins Private Beta — Invite-Only Access for Experienced Investors
DDScore.ai has entered private beta. We are collecting feedback from experienced investors.
Insights and Guides
Pitch Deck Review AI: what it catches and what still needs a human
An AI pitch deck review catches mismatched numbers, missing evidence and structural gaps, but a document check alone cannot confirm market size, customer truth or narrative…
Startup Valuation Methods: Scorecard, Berkus, VC, Comparables and DCF
How to value a startup: five startup valuation methods with worked examples, stage fit, weaknesses, and a practical way to sanity-check a pre-money valuation before investing or…
Seven Growth Stall Warning Signs a CEO Should Check Every Quarter
The seven growth stall warning signs, from customer concentration to cash runway, what the available evidence does and does not establish about why business growth stalls, and a…
Is AI a Bubble? How to Separate Hype From Durable Value in AI Startups
Is AI a bubble? A source-backed way to judge AI startup valuation through revenue quality, gross margins after compute costs, customer concentration, model-provider dependence and…
Using Claude for Business Strategy: Prompts, Strengths, and a Stable Basis
How leaders can use Claude for business strategy work: market analysis, scenario thinking, competitor research, concrete prompts, what it does well, where answers shift between…
AI Due Diligence: What These Tools Check, What They Miss, and Which One You Need
AI due diligence uses AI to read documents, extract clauses and flag anomalies, and in document review it only covers the documents you actually have, which is the limit that…
Startup Due Diligence Checklist: What Investors Check and How to Find Gaps First
This startup due diligence checklist covers financials, legal records, the cap table and option ledger, operations, and market evidence, held together by one consistency…
ChatGPT for CEOs: How to Analyze Your Business With Practical Prompts
How a CEO can analyze their business with ChatGPT: practical prompts for strategy, market, competition and finance, where ChatGPT company analysis drifts between runs or lacks…
What Seed Investors Look For in 2026: A Readiness Checklist
What seed investors look for in 2026: execution ability over pedigree, TAM and market size, problem-solution fit with a specific why-now, and traction with readable unit…
How to Evaluate an Early-Stage Startup Investment: A Due Diligence Checklist
A step-by-step due diligence checklist for evaluating early-stage startup investment opportunities, covering screening, traction, unit economics, market, team, risk, evidence…
Pitch Deck vs Financial Model: Check Revenue Assumptions
How to follow one revenue figure through a pitch deck, financial model and data room: which dates, units and definitions must agree, and why a mismatch is a question, not proof of…