Example score only. Your report scores each dimension based on your submitted materials.
Business Idea
Does the problem statement hold up outside your own framing? Is the solution logic defensible against a sceptical read?
For Founders
Find Out What Investors Will See. Before They See It
Structured pitch deck analysis across twelve dimensions. Investor-style due diligence, market data, competitor intelligence, and financial stress-testing. Built to show you what the materials look like from the other side of the table.
Zero Trace · EU servers & GDPR · No training on your data · NDA available
Is this for you
One Report. Built Around How Investors Actually Read
DDScore analyses whether the company claims, assumptions, market position, team capability, financial logic, scalability, valuation, exit logic and fundability support each other. The value is not prettier pitch deck copy. The value is understanding whether the business case holds together before investors review it.
Pre-seed and seed founders
Preparing for a first raise and want to identify preventable problems before they become reasons for a pass — before the meeting where the decision is already forming.
Founders between rounds
Using DDScore as a structured mid-cycle review to track whether the story has kept pace with the business and whether the next funding narrative is yet supported by the materials.
Founding teams stress-testing assumptions
The gaps DDScore finds in the deck are often gaps in the business itself. A structured external read surfaces what internal familiarity hides — assumptions that feel reasonable because they were built carefully.
Accelerator & incubator cohorts
Consistent, structured feedback across a full cohort. Each company receives specific findings instead of general encouragement — replacing impressionistic advice with actionable analysis.
The problem
Your Pitch Deck May Feel Clear Because the Missing Context Is Already in Your Head
Investors do not have that context. They judge what is in the material, what is missing from the material and what the material implies about the business.
That is why founders often receive vague investor feedback. A pass may be explained as timing, fit, round size or focus area. The real reason may be weaker: unsupported market logic, unclear use of funds, thin competitor analysis, valuation that does not match evidence, missing team capability or financial assumptions that do not hold together.
Not a verdict. A mirror
Specific Findings. In the Language Investors Use. Before the Meeting
DDScore does not tell you whether your business will succeed. What it does is show you — with specificity, in the language investors use — exactly how your current materials read to someone who reviews hundreds of opportunities a year and has no emotional stake in yours.
Some of the findings will confirm what you already suspected. Some will surface things you did not know were a problem. Some will identify strengths you were underselling. All of them give you something actionable before the meeting, not after it.
01 — Before outreach
Investor-style review
DDScore analyses your materials using a due diligence structure similar to the one used in investment review — identifying strengths, gaps, unsupported claims, and areas likely to raise questions before those questions are asked in a meeting you cannot replay.
02 — Investor readiness
A clearer view
See where the pitch is already supported by evidence and where the materials rely too heavily on narrative, ambition, or assumptions not visible to an outside reader. Separate presentation issues from deeper business issues — and know which are fixable before outreach begins.
03 — Iterative improvement
Structured improvement
Use DDScore before fundraising, between investor meetings, or between rounds. Update the deck, run a new report, see whether the identified weaknesses have been addressed. The score will move. The business behind it will be stronger.
What it identifies
The Issues That Cause Rejections Are Rarely the Ones Founders See in Their Own Materials
Founders read their own materials from the inside. The business makes sense because they have lived it. These are the patterns DDScore is built to surface before they become investor objections.
The financial model is disconnected from the plan it is supposed to describe
Revenue projections that require a sales function that has not been hired. Customer acquisition targets that assume conversion rates the budget cannot support. Growth curves that look plausible in isolation and break under the simplest bottom-up stress-test. These are not optimistic projections — they are internal inconsistencies that signal the founding team has not yet interrogated their own assumptions.
The market sizing logic does not hold up to scrutiny
A large TAM number without a credible path to the first slice of it is one of the most common reasons experienced investors disengage early. The question is not how large the total market is. It is how many customers will pay, by when, and why they will choose this product over the alternatives they already use. DDScore tests the sizing logic against the business model and the proposed timeline.
The founder-market fit is not visible in the materials
Investors at early stage are investing in the team as much as the idea. Relevant experience, domain expertise, and prior execution are often present but not articulated in a way that connects directly to the problem being solved. DDScore identifies where the case for the team is strong and where it relies on titles rather than evidence.
The competitive section flatters the story rather than stress-tests it
Positioning the company as uniquely differentiated in a landscape that omits the most relevant rivals is one of the most consistently damaging mistakes in early-stage materials. Investors will search for the competitors that are missing. DDScore finds them first.
Traction is positioned too late or in the wrong form
Evidence of demand — pilot customers, letters of intent, early revenue, retention data — is most effective when it appears early, not as a closing argument. Materials that lead with narrative and save proof for the final slides consistently underperform in investor review. DDScore identifies where the evidence sits and whether it is doing the work the materials need it to do.
The funding ask does not match the milestone plan
A round size that cannot fund the milestones it is supposed to achieve, a valuation not supported by the current evidence base, or a use of funds section that does not address the main investment risks all create friction before a conversation begins. DDScore benchmarks the ask against comparable transactions and assesses whether the round structure makes sense for the stage and risk profile.
Individual weaknesses compound into a picture the founder cannot see
A market sizing section that is ten percent too aggressive, a team slide that implies a capability not yet in place, and a financial model that requires both to be true simultaneously creates a compounding problem that is difficult to identify by reading each section in isolation. DDScore stress-tests the assumptions across the full set of materials simultaneously, because that is how an experienced investor will read them.
The deck is read differently than it was written
Investors are filtering for risk, pattern fit, and the gap between what is claimed and what is evidenced. A deck that makes complete sense to the founding team can still leave an experienced investor with fundamental unanswered questions. DDScore reads the materials from the outside.
The deck and the public record are inconsistent
The company website, public profiles of team members, and other accessible materials are the first things an investor checks after opening the deck. Claims that contradict the public record do not read as minor discrepancies — they read as signals about how carefully the business is run. DDScore cross-references submitted materials against public sources before an investor does.
The twelve dimensions
Twelve Areas. Actionable Findings at Every Step
DDScore gives founders a structured first pass analysis of their fundraising materials. The system reviews the submitted documents, applies market and industry benchmarks, scores the business across 12 dimensions and analyses how the main assumptions interact. Each dimension includes a score, a dedicated analysis page, and a structured breakdown of Strengths, Areas for Development, and Risks.
Example score only. Your report scores each dimension based on your submitted materials.
Offering
Is the product maturity represented accurately? Does the feature set match the claims made elsewhere in the deck?
Example score only. Your report scores each dimension based on your submitted materials.
Team
Are the background claims verifiable? Are the capability gaps visible — and are they the gaps investors will ask about first?
Example score only. Your report scores each dimension based on your submitted materials.
Market
Does the market sizing hold up to mathematical scrutiny? Are the penetration assumptions realistic for the stage and budget?
Example score only. Your report scores each dimension based on your submitted materials.
Competitors
Are the right competitors named? The ones you left out are the first ones an investor will search for.
Example score only. Your report scores each dimension based on your submitted materials.
Technology & IP
Is the technical differentiation credible? Are proprietary claims supported by the architecture described?
Example score only. Your report scores each dimension based on your submitted materials.
Scalability
Do the unit economics work at scale — not just at the customer numbers in Year 1?
Example score only. Your report scores each dimension based on your submitted materials.
Legal & Regulatory
Are there compliance obligations or jurisdictional constraints the deck does not acknowledge?
Example score only. Your report scores each dimension based on your submitted materials.
Exit
Is there a credible acquirer or exit path that matches the stage, sector, and business model?
Example score only. Your report scores each dimension based on your submitted materials.
Presentation
Are the deck, website, and public materials consistent with each other? Does the quality of presentation reflect the standards of the business you claim to be building?
Example score only. Your report scores each dimension based on your submitted materials.
Financial Critique
Are the projections built from the bottom up — or are they a top-down target that the budget cannot actually support?
Example score only. Your report scores each dimension based on your submitted materials.
Fundability
Is the valuation defensible against comparable transactions? Does the round structure make sense for the risk profile?
Before you submit
Two Things Worth Understanding Before You Distribute Your Materials
One is about what you choose to disclose. The other is about the language your findings will be written in.
On IP and trade secrets
A patent is public. The moment it is filed, the method is disclosed. For many businesses — especially software and AI — a patent offers limited protection and complete transparency to every competitor who reads it. A trade secret, by contrast, remains proprietary for as long as it is not disclosed.
The problem is this: if your core algorithm, your data architecture, or your proprietary method is described in detail in your pitch deck, it is no longer a secret. The moment that deck is distributed — even under NDA — you have disclosed the method to everyone who reads it.
DDScore will score what it can see. What it cannot see, it will note as a gap. Understanding that trade-off — and deciding consciously which side of it you want to be on — is one of the most important calls you make before distributing your materials. For software and AI companies, if the deck claims a technical moat, the materials need to show enough evidence for the claim to be credible without requiring full disclosure.
Feedback in investor language
With a glossary that makes it useful.
One of the most disorienting experiences in fundraising is realising that the conversation is being conducted in a language you were never formally taught.
LTV:CAC ratio
Pre-money valuation
Unit economics
Tech moat
Platform risk
Cohort retention
Burn rate
Runway
Market penetration
Fundability
These are not jargon for its own sake — they are the precise vocabulary that experienced investors use to describe specific, measurable properties of a business. DDScore delivers its findings in this language. Every report includes a plain-language glossary that defines the terms used — so the feedback is not just readable, it is educational. Over time, internalising this vocabulary changes the way you build and the way you present.
Your materials stay yours
Founders Are Right to Be Cautious About Where They Send Confidential Materials
Your deck contains strategic plans, financial projections, and potentially proprietary technical information. The security architecture of DDScore is built around this reality, not added to it.
Zero Trace Policy
Uploaded materials are permanently deleted the moment your report is generated. The report itself is permanently deleted within 24 hours — whether you’ve downloaded it or not.
No Training
Your materials are never used to train AI models. Not proprietary, not third-party, not under any circumstances. You are not feeding a model that will remember your strategy.
EU Servers & GDPR
All processing takes place on servers within the European Union under Finnish jurisdiction, with full GDPR compliance at every step.
NDA Available
Formal non-disclosure agreements available on request for institutional users and investors operating under fund-level confidentiality requirements.
A Number Tells You Where to Look. The Analysis Tells You What to Do
The DD Score is a single number between 0 and 100. It is a summary, not a conclusion. The value is in what sits behind it: twelve assessed areas, each with a full analysis page and a structured breakdown of Strengths, Areas for Development, and Risks — drawn from the specific materials submitted and cross-referenced against current market intelligence.
The score shows you how your materials read from the outside. The analysis tells you exactly what to strengthen, clarify, or evidence before the next investor sees them.
Common questions
Questions Founders Ask
What is DDScore for founders?
DDScore for founders is a structured due diligence review of a company’s pitch deck and supporting materials. It evaluates the investment case across twelve dimensions and produces a report showing strengths, risks, gaps, and areas for improvement — written in the language investors use.
Is DDScore only for fundraising?
No. DDScore can be used before fundraising, during fundraising, between rounds, or as an internal business review. The report is useful whenever a founding team wants to understand whether the business described in the materials is clear, credible, and supported by evidence.
Why should founders run a DDScore report before speaking with investors?
A report can identify issues before they become reasons for rejection. It helps founders understand which claims are unsupported, which parts of the deck are unclear, and which questions investors are likely to ask first — before those questions are asked in a meeting you cannot replay.
How can pre-seed and seed founders use DDScore?
Pre-seed and seed founders can use DDScore before first investor meetings to identify preventable issues in the pitch deck, financial logic, market framing, and investor readiness. The report shows what the materials currently support and what they do not yet support.
How can founders between rounds use DDScore?
Founders between rounds can use DDScore as a mid-cycle review. The report can show whether the company’s materials have improved since the previous raise and whether the business now supports the next funding narrative.
Can DDScore be used more than once?
Yes. DDScore can be used as an iterative review tool. A founder can run a report, improve the materials, and run a new report after changes have been made. This makes it possible to track whether the company’s materials are becoming more credible and complete over time.
Does DDScore tell founders whether they will raise investment?
No. DDScore does not predict fundraising success. It analyses the quality, evidence, logic, and investor readiness of the submitted materials. The purpose is to identify what the materials currently support and what should be improved before investor review begins.
What materials can be reviewed?
The core material is usually the pitch deck. Founders can also include supporting documents such as financial models, company summaries, product documentation, market research, or other materials that help explain the business.
What does investor readiness mean?
Investor readiness means the company’s materials are clear enough, evidenced enough, and internally consistent enough to support an investment discussion. It does not mean the company is guaranteed to raise capital.
What does the DDScore number mean?
The DDScore is a number between 0 and 100. It reflects the strength and completeness of the investment case based on the submitted materials. It is a summary, not a conclusion — the analysis behind the score is more important than the number itself.
Can the score change over time?
Yes. The score changes as the company improves its materials, strengthens its evidence, updates its financial model, adds team capability, or resolves identified risks. A higher score is not the goal by itself — the more important signal is whether the underlying business case becomes clearer and better supported.
Should founders include proprietary technology details in a pitch deck?
Founders should be careful. Detailed technical disclosure may make the company easier to evaluate, but it may also reveal information that should remain confidential. DDScore will score what it can see. What it cannot see, it will note as a gap. The trade-off between credibility and confidentiality is a decision only the founder can make.
Are uploaded founder materials secure?
Founder materials often include confidential strategy, financial projections, product details, and potentially proprietary technical information. DDScore is designed around the assumption that these materials are sensitive. All processing takes place on EU servers, and materials are permanently deleted within 24 hours of report completion.
Are submitted materials used to train AI models?
No. Submitted materials are not used to train DDScore models or any third-party AI models, under any circumstances.
Can DDScore sign an NDA?
Yes. Formal non-disclosure agreements are available on request.
See What Your Materials Look Like From the Other Side of the Table
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Important limits
DDScore does not guarantee funding success. DDScore does not provide investment advice. DDScore does not decide whether a company is good or bad. DDScore does not tell investors what decision to make. DDScore does not replace founder judgement, investor feedback, legal advice, financial modelling, commercial diligence, technical diligence or human decision making.
It provides a structured, probability based first pass analysis based on submitted materials, available information, market benchmarks and DDScore scoring model.