For Evaluators

Structured Risk Analysis for Institutions Reviewing Complex Businesses

For evaluators processing business applications at scale, DDScore provides a consistent first-pass analysis layer: structured, scored, documentable, and grounded in current market intelligence. The same assessment for every application, on the record.

Zero Trace · Private data center · GDPR compliant · No training on submitted data · NDA available

Public Capital, Appealable Decisions, and Few Companies That Carry the Impact

Jobs, growth and regional impact concentrate in a small share of genuinely growth-capable companies. The viability read is not one criterion among many: it is the multiplier for all the others.

Every review decision carries two risks. Fund the wrong case, and public capital is lost. Decide inconsistently, and the decision itself fails: in an appeal, in an audit, in front of an oversight body. Both risks are managed the same way, with a consistent, documented assessment of every application.

Business Risk Is Moving Faster Than Traditional Review Models

AI has made business claims harder to verify, and companies can appear more advanced simply by presenting themselves as AI businesses. Traditional review still tests documentation, eligibility and basic financial logic.

The real risk sits between sections of the material: an unsupported technology claim, a regulatory assumption, a funding request that does not match the milestones.

Read: The Control Problem in Business Application Review →

The Same Application Should Get the Same Assessment. Today It Doesn’t

Research on grant assessment shows that both the time spent per application and the way criteria are applied vary from reviewer to reviewer. Funders’ own recommended fix is standardized criteria with common definitions. That is exactly what a fixed twelve-dimension framework, applied identically to every application, provides.

The workload makes this worse, not better: reviewers typically assess 10–30 applications in a 2–4 week window, and application volumes grow faster than funding. Under that pressure, consistency is the first thing to go. It is also the first thing an appeal or an audit will test.

Every Application Screened
A real analysis for every case, not just the ones that reach expert time.
The Same Read Regardless of Reviewer
Two evaluators, two regions, two years apart: the same case reads the same way.
Claims Checked Against Public Sources
Submitted materials are cross-referenced against market intelligence, competitor data and public records.
Expert Time Where It Matters
The cases that need human review still get it. They get identified systematically instead of by workload.

A documented trail. Each report is a scored, structured record for internal review, quality control, appeal handling and audit preparation.

Built for Organizations That Evaluate Business Viability at Volume

Public funding and grant organizations
One framework, applied identically to every application, directs evaluator time to the cases that need it.
Development finance institutions
Lower per-case diligence cost makes it affordable to assess additionality on higher-impact cases.
Public lenders and guarantee institutions
Per-case business analysis beyond the credit score, at a cost that scales to guarantee-portfolio volume.
Banks and financial institutions
Structured analysis of the business case — market, competitors, offering and scalability — alongside your own credit assessment.
Regional development organizations
The viability read helps identify the companies most likely to carry jobs, growth and regional impact.
Fund administrators and platforms
A documented first-pass layer creates the paper trail that program and issuer reviews ask for.

A Structured Analytical Layer Before Human Review

DDScore does not replace your evaluators. It gives them a consistent, evidence-based starting point.

01 — Pre-screening
Surface structural issues early
Identify financial inconsistencies, missing market evidence, omitted competitors, capability gaps, and assumptions that require further scrutiny.
02 — Pipeline comparison
Apply one framework
Every application is analyzed through the same twelve dimensions, regardless of writing style, format, sector, or evaluator assignment.
03 — Decision support
Document the basis
Each report creates a scored, structured record of findings for internal review, quality control, appeal handling, and audit preparation.
04 — Verification
Check claims against evidence
Submitted materials are cross-referenced against current market intelligence, competitor data, public sources, and comparable business benchmarks.

The Patterns That Are Easy to Miss in a Narrative Review

Financial models that require unrealistic execution capacity
Revenue projections, sales velocity, margins, conversion rates, or staffing assumptions that the plan cannot credibly support.
Competitive landscapes with significant omissions
Direct and indirect alternatives that applicants may not mention, but that evaluators need to understand before judging viability.
Public-source inconsistencies
Claims about the company, team, traction, or market position that conflict with websites, professional profiles, or public records.

Twelve Areas. Scored Independently. Analyzed Together

DDScore reviews the submitted documents, applies market and industry benchmarks, scores the case across 12 due diligence dimensions and analyzes how the main factors interact.

The report shows where the business case is supported, where the material is weak, what needs closer review and which questions should be asked before the case moves forward.

Business Idea

Whether the problem is real, the solution addresses it credibly, and the differentiation claim holds up under independent scrutiny.

Offering

Product or service maturity relative to what is claimed, and whether the resources can deliver what the model requires.

Team

Backgrounds, capability gaps, and roles assessed against what the plan actually demands.

Market

Market sizing, buyer behavior, penetration assumptions, adoption barriers, and realistic capture rates.

Competitors

The competitive landscape reconstructed independently, including omitted rivals and indirect alternatives.

Technology & IP

Proprietary capability, technical dependencies, replication risk, IP ownership, and third-party exposure.

Scalability

Revenue and cost dynamics at target volume, with operational ceilings and infrastructure constraints identified.

Legal & Regulatory

Compliance obligations mapped against the business model, target markets, and jurisdictions.

Exit

Exit scenarios, acquirer logic, milestone credibility, and the conditions required for each outcome.

Presentation

Narrative coherence, evidence quality, internal consistency, and alignment with public presence.

Financial Critique

Revenue assumptions stress-tested from the bottom up and assessed against budget, team, and market conditions.

Fundability

Valuation, round structure, repayment or follow-on viability, and the conditions required for financing to make sense.

The Score Tells You Where to Look. It Does Not Make the Decision

The DD Score is a single number between 0 and 100. In an evaluation context it is a triage and documentation tool: it shows which applications need closer review, and the analysis behind it shows exactly what to review. The decision, and the criteria beyond commercial viability, stay with the institution.

DDScore gives institutions a consistent way to compare different businesses, even when the companies operate in different sectors, use different technologies or apply for different forms of support.

Built for Confidential Business Materials

Evaluation materials often contain financial projections, personal data, strategic plans, technical detail, and commercially sensitive information. DDScore is designed around that reality.

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 Evaluation Teams Ask

Does DDScore replace our evaluation process?

No. DDScore provides a structured first layer of analysis before your full evaluation begins. Your evaluators retain full decision-making authority.

Can DDScore support regulatory or audit documentation?

Yes. Each report creates a structured, scored record of findings across twelve dimensions. That record can support internal review, quality control, appeal handling, and audit preparation.

How does this differ from investment-only diligence?

DDScore analyzes whether the business is what it claims to be and whether the plan is executable as presented. That is relevant whether the decision concerns a grant, a guarantee, a loan, a listing, or an investment.

Can we run DDScore on all applications before full review?

Yes. DDScore is designed to act as a pre-screening layer across high-volume application pipelines. Institutional deployment is agreed separately, including the scope of use, data protection terms and any audit requirements.

What materials can be submitted?

The core material is usually a business plan, pitch deck, or funding application. Supporting documents such as financial models, market research, company websites, and team materials can also be included. Accepted formats include PDF, PPTX, XLSX, DOCX, common image formats, and plain text files.

What does the DDScore number mean in an evaluation context?

The DDScore is a number between 0 and 100 reflecting the strength and completeness of the business case based on the submitted materials and the twelve-dimension framework. It is an analytical input, not a decision.

Are submitted materials secure?

Uploaded materials and generated reports are permanently deleted within 24 hours of report completion. Submitted materials are never used to train AI models. Processing takes place on in-house servers in Finland, and in part on third-party AI model services in the United States under EU-approved transfer safeguards. NDA available on request.

Can DDScore be used to assess an individual applicant?

No. DDScore analyzes the business case in the submitted materials. The team dimension assesses whether the team's combined background matches what the plan requires; it does not assess or score any individual. Decisions concerning a natural person — creditworthiness, employment, or access to benefits and services — are outside the intended purpose of the Service and are not permitted under the Terms of Service.

What personal data does the team analysis use?

The materials you submit, and, where you enable it, public sources. The analysis returns references and comparisons rather than judgments about individuals, and sources may be inaccurate or refer to a different person of the same name. You are the controller for that data under our Data Processing Addendum.

Decisions You Can Defend. To Applicants, Auditors, and Yourself

Run a structured report on one review queue. Institutional access available.

Important disclaimer

DDScore does not provide investment advice. DDScore does not approve or reject applications. DDScore does not decide whether public money, loan capital, grant funding, research funding or institutional support should be awarded. DDScore does not replace statutory eligibility checks, credit underwriting, legal review, financial due diligence, technical diligence, procurement checks, compliance review or human decision making.

It provides a structured, probability-based first-pass analysis based on submitted materials, available information, market benchmarks and the DDScore scoring model.