Example score only. Your report scores each dimension based on your submitted materials.
Business Idea
Problem severity, solution logic, and whether the differentiation claim holds up outside the founder’s own framing.
For Investors
Find the Risks Before Your Next Investment Meeting
Review company materials against a consistent framework. Get documented findings on the business model, market, team and finances so you can focus your next conversation.
Zero Trace · Private data center & GDPR · No training on your data
Why early screening matters
A Few Investments Can Drive a Fund’s Returns
The top 10% of venture investments generate 60–80% of all venture returns. Nearly every fund that returns 3x or more has at least one company that returned the entire fund.
Screening involves two kinds of error: spending time on a weak opportunity and overlooking a promising one. A consistent review process helps you examine both risks.
The problem
Polished Decks Are Easier to Create Than Ever. Supported Cases Are Not
AI tools turn limited inputs into convincing decks, financial narratives and market stories in hours. The average first-pass read is under four minutes per deck. At that speed, weak assumptions stay hidden and real winners get skimmed past. A summary does not test whether the case holds together.
What changes
Review More Opportunities Consistently
A structured report on every deal changes the shape of the funnel, not just the speed of reviewing it.
Screen More Materials
Assess more of your pipeline, including decks your analysts may not have time to review in depth.
Reject Weak Opportunities Fast
Cases that look strong on the surface get filtered out before diligence starts costing weeks.
Find the Investments Others Skim Past
A deck that looks weak at first glance may still describe a promising business. A closer analysis can reveal evidence worth investigating.
Compare the Evidence Behind Each Score
Every case lands on the same 0–100 scale with the evidence behind it.
Steer over time. Re-scoring the same company resurfaces the key next steps, round after round. An illustrative modeled scenario compares expected returns per invested euro of 1.20x and 1.86x. These are scenario outputs, not measured results or a forecast of your returns.
Who it’s for
Angel Investors & Syndicates
Angels who spend 40+ hours of diligence per deal average a 7.1x multiple. Under 20 hours: 1.1x. Most angels do not have the hours. DDScore compresses the structured first pass into 30 minutes, so your hours go where they pay off. Syndicate leads: your members invest on the strength of your memo. Attach the evidence.
Venture Capital Analysts
Partners trust analysts who anticipate objections and name what they do not know. Walk into the partner meeting with ranked risks, per-dimension confidence levels, and the three questions most important to the investment thesis.
Family Offices
Small teams may review opportunities across many sectors and stages. DDScore gives them a consistent report format for comparing evidence and deciding where deeper work is needed.
Corporate Venture & M&A Teams
First-pass triage happens in about 30 seconds per inbound opportunity. Real evaluation only happens for what survives it. Give every opportunity a documented baseline before committing data-room cost, and show management why resources went where they went.
How it fits your process
Better First-Pass Diligence Before Deeper Review Begins
01 — Before the first meeting
Walk in prepared
Run a DDScore report on the deck and identify the most important questions for your first meeting.
02 — Across your pipeline
Compare against the same criteria
Compare opportunities against the same twelve-dimension framework. Identify which deals deserve deeper work and which carry structural problems that make deeper work premature.
03 — Before a term sheet
Structured pre-mortem
What would need to be true for the thesis to hold? What has the analysis surfaced that your own process has not yet resolved?
04 — For partners & LPs
Documented findings
A DDScore report documents findings and supporting evidence for discussions with partners and LPs.
What it catches
Why Most Failed Deals Looked Fine on the First Read
DDScore is built to expose the weak assumptions that often survive a fast first read because the presentation feels coherent.
Product-market fit lacks supporting evidence
The most common root cause of venture failure is building for a market that does not exist at the scale the model requires. DDScore separates evidence of real demand from evidence of a compelling narrative.
The financial model does not survive contact with its own assumptions
The report tests whether projected conversion rates are supported by sector benchmarks and whether the planned team and budget can support the revenue forecast.
Timing is wrong in ways the deck does not acknowledge
Market timing is the second most common root cause of venture failure and the one least visible from inside the company. A real problem, a real solution, and a market not yet ready to pay for it is a category of risk that requires external evidence to assess. DDScore draws on current market intelligence to evaluate whether the timing assumption holds.
The 12 due diligence dimensions
Twelve Areas. Scored Separately. Connected in One Overall View
DDScore analyzes each business through the same 12-dimension structure. Each dimension receives its own score and contributes to the overall Due Diligence Score through stage-aware weighting, while the overall score reflects how the dimensions interact: evidence quality, risk, stage, business model and the strength of the case as a whole.
Example score only. Your report scores each dimension based on your submitted materials.
Offering
Product maturity, feature defensibility, and whether the delivery risk is acknowledged or obscured.
Example score only. Your report scores each dimension based on your submitted materials.
Team
Team capabilities and gaps are assessed against the plan. Professional backgrounds are checked against public sources only when you enable the check for each individual.
Example score only. Your report scores each dimension based on your submitted materials.
Market
TAM and SOM credibility, penetration assumptions relative to the proposed budget, and competitive density in the actual target segment.
Example score only. Your report scores each dimension based on your submitted materials.
Competitors
Who is actually operating in the market, including the names the deck chose not to include.
Example score only. Your report scores each dimension based on your submitted materials.
Technology & IP
Moat strength, replication risk, dependency exposure, IP ownership, and the credibility of any patent or trade secret claims.
Example score only. Your report scores each dimension based on your submitted materials.
Scalability
Unit economics at scale, infrastructure headroom, and the constraints that cap growth before the projections assume it begins.
Example score only. Your report scores each dimension based on your submitted materials.
Legal & Regulatory
Compliance exposure, regulatory risk in target markets, licensing obligations, and jurisdictional constraints relevant to the business model.
Example score only. Your report scores each dimension based on your submitted materials.
Exit
Exit scenarios with probability weighting, acquirer logic grounded in sector comparables, and return multiple analysis.
Example score only. Your report scores each dimension based on your submitted materials.
Presentation
Structural coherence and narrative flow. Consistency between pitch materials, website, and public presence. Visual quality and factual accuracy across all submitted materials.
Example score only. Your report scores each dimension based on your submitted materials.
Financial Critique
Projection stress-testing against sector benchmarks and mathematical constraints. Bottom-up plausibility assessment of the key assumptions.
Example score only. Your report scores each dimension based on your submitted materials.
Fundability
Valuation relative to comparable transactions, use of funds coherence, and round structure risk.
The Score Shows Where to Look. The Analysis Shows What to Investigate
The DDScore 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.
Use the score alongside the analysis to identify what deserves closer investigation and which questions remain unanswered.
Trust & Security
Confidential Materials Require More Than a Checkbox
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 not used to train or fine-tune DDScore models or third-party AI models.
Our Own Servers · GDPR
DDScore runs its own servers and AI models in Finland. Some analysis steps use third-party AI model services in the United States under EU-approved transfer safeguards.
NDA Available
Formal non-disclosure agreements available on request for institutional users and investors operating under fund-level confidentiality requirements.
Common questions
Questions Investors Ask
Is the score the final investment conclusion?
No. The score is the starting point, not the conclusion. The value of the report is in the analysis behind the number — twelve assessed areas each explaining the reasoning, the evidence, and what is missing.
What does a low score show in practice?
A score of 28 indicates elevated risk. The report explains why. It may show that the competitor section omits a heavily funded direct rival, the financial projections require acquiring 27 customers per month from day one without a sales hire, or a key technical claim cannot be corroborated through any available public source. That is the difference between a number and an answer.
What is the difference between a score and a diligence finding?
A score indicates where risk may exist. A diligence finding explains the reason for that risk and what should be reviewed before moving forward.
How can angel investors use DDScore?
Angel investors and syndicates often review a high number of opportunities without a dedicated analyst team. DDScore provides a structured first-pass review that helps identify which companies require deeper attention and which carry structural problems that make deeper work premature.
How can venture capital analysts use DDScore?
VC analysts can use DDScore before internal reviews or partner meetings. The report provides structured findings, risks, and questions instead of relying only on a first reading of the deck — making the analyst’s time more valuable in the meeting itself.
How can family offices use DDScore?
Family offices often review broad and opportunistic deal pipelines. DDScore creates a consistent analytical format across companies that may differ by sector, stage, geography, and quality of materials — making comparison meaningful rather than impressionistic.
How can corporate venture and M&A teams use DDScore?
Corporate venture and M&A teams can use DDScore for a baseline assessment of inbound opportunities before committing internal resources to a full diligence or data room process. Identify quickly which opportunities are worth the cost of deeper engagement.
Are uploaded investment materials secure?
DDScore runs its own servers and AI models in Finland. Some analysis steps use third-party AI model services in the United States under EU-approved transfer safeguards. Uploaded source files are permanently deleted as soon as your report is generated. Reports are deleted within 24 hours of generation, except when retained for an active share link or a support request. See the Privacy Policy for the retention periods and exceptions.
What happens to uploaded materials after the report is completed?
Uploaded source files are permanently deleted as soon as your report is generated. Reports are deleted within 24 hours of generation, except when retained for an active share link or a support request. See the Privacy Policy for the retention periods and exceptions.
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.
Where does processing take place?
The analysis is produced on in-house servers in Finland. Some processing uses third-party AI models in the United States, under EU-approved transfer safeguards.
Can DDScore sign an NDA?
Yes. Formal non-disclosure agreements are available on request for institutional users and investors operating under fund-level confidentiality requirements.
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Important disclaimer
DDScore does not provide investment advice and does not tell users what decision to make. DDScore provides analytical tooling and quantitative scoring based on submitted materials, available information, benchmarks and the DDScore scoring model. It supports judgment and due diligence workflows. It does not replace investor judgment or a full due diligence process.
Investing in private companies involves significant risk, including the possible loss of all invested capital.