For Investors

Challenge the Investment Case Before the Narrative Shapes the Decision

DDScore.ai provides structured first-pass diligence scoring and analysis for private company investment materials. More coverage, fewer missed winners, and documented rigor on every pass.

Zero Trace · Private data center & GDPR · No training on your data

Your Fund’s Outcome Is One or Two Deals

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.

That number defines the job. Avoiding losses is not the job. Not missing the winner is. Every screening decision carries two costs: the false positive that burns weeks of diligence, and the false negative that becomes someone else’s fund returner.

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.

More Home Runs

A structured report on every deal changes the shape of the funnel, not just the speed of reviewing it.

Screen More Materials
Coverage rises when every deck gets a real read, not just the ones that reach analyst time.
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
Materials that read weak in four minutes can surface real findings when properly analyzed.
Base Decisions on Calculated Probabilities
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. In our modeled scenario, this lifts expected return per invested euro from 1.20x to 1.86x.

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 the founder did not prepare answers for.
Family Offices
A team of three to five people cannot staff full diligence on an opportunistic pipeline, and network-driven deal flow has adverse selection built in. DDScore is the analyst bench you do not have to hire: the same scale across every sector and stage that reaches you.
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.

Better First-Pass Diligence Before Deeper Review Begins

01 — Before the first meeting
Walk in prepared
Run a DDScore report on the deck. Know the three most important questions to ask, not the ones the founder prepared answers for.
02 — Across your pipeline
Genuinely comparable
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 rigor
A DDScore report is a defensible, documented record of analytical rigor applied to every opportunity reviewed. Evidence that your judgment was informed.

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 is assumed, not evidenced
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
Conversion rates in the top fraction of comparable cohorts. Revenue disconnected from the team meant to generate it. These are not optimistic projections. They are projections that cannot be true.
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.

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.

Business Idea

Problem severity, solution logic, and whether the differentiation claim holds up outside the founder’s own framing.

Offering

Product maturity, feature defensibility, and whether the delivery risk is acknowledged or obscured.

Team

Background claims checked against public sources, capability gaps, and roles assessed against what the plan actually demands.

Market

TAM and SOM credibility, penetration assumptions relative to the proposed budget, and competitive density in the actual target segment.

Competitors

Who is actually operating in the market, including the names the deck chose not to include.

Technology & IP

Moat strength, replication risk, dependency exposure, IP ownership, and the credibility of any patent or trade secret claims.

Scalability

Unit economics at scale, infrastructure headroom, and the constraints that cap growth before the projections assume it begins.

Legal & Regulatory

Compliance exposure, regulatory risk in target markets, licensing obligations, and jurisdictional constraints relevant to the business model.

Exit

Exit scenarios with probability weighting, acquirer logic grounded in sector comparables, and return multiple analysis.

Presentation

Structural coherence and narrative flow. Consistency between pitch materials, website, and public presence. Visual quality and factual accuracy across all submitted materials.

Financial Critique

Projection stress-testing against sector benchmarks and mathematical constraints. Bottom-up plausibility assessment of the key assumptions.

Fundability

Valuation relative to comparable transactions, use of funds coherence, and round structure risk.

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 tells you which deals deserve deeper work. The analysis tells you exactly what that work should focus on, and what the materials are not telling you.

Run Your First Report

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 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.
Our Own Servers · GDPR
The analysis is produced on our own servers in Finland, using models we host ourselves. Some analysis steps additionally use EU and US partners, under EU-approved safeguards.
NDA Available
Formal non-disclosure agreements available on request for institutional users and investors operating under fund-level confidentiality requirements.

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?

Investment materials often contain confidential information including non-public financials, technical details, and materials covered by NDAs. For DDScore, security is not an additional feature — it is a core requirement of the service. Materials are processed on in-house servers in Finland and, in part, by third-party AI model services in the United States under EU-approved transfer safeguards, and are deleted within 24 hours.

What happens to uploaded materials after the report is completed?

DDScore follows a Zero Trace Policy. Uploaded materials and generated reports are permanently deleted within 24 hours of report completion, regardless of whether the report has been downloaded.

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.

The Next Deal in Your Inbox Deserves a Second Opinion

Run a structured report before your next pass. Free trial available.

Designed for experienced investors and professional evaluators.

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.