Example score only. Your report scores each dimension based on your submitted materials.
Business Idea
Whether the problem is real, the solution addresses it credibly, and the differentiation claim holds up under independent scrutiny.
For Evaluator
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.
Analyse business plans, pitch decks, and funding applications across twelve dimensions before full human review begins.
Zero Trace · EU servers · GDPR compliant · No training on submitted data · NDA available
Who it’s for
Built for Organisations That Evaluate Business Viability at Volume
DDScore supports teams that need a consistent, repeatable, and documentable way to review business materials before deeper assessment.
Public funding and grant organisations
Review high volumes of business applications with a consistent first-pass framework before allocating evaluator time to full review.
Development finance institutions
Assess viability, execution risk, milestone credibility, and the evidence behind the business case before committing public or catalytic capital.
Public lenders and guarantee institutions
Evaluate repayment capacity and business fundamentals beyond what a credit score or application form can show.
Banks and financial institutions
Add structured business analysis to SME, growth company, and startup lending workflows where traditional credit data is incomplete.
Regional development organisations
Balance commercial viability, local development goals, job creation, innovation potential, and delivery risk in a comparable format.
Fund administrators and platforms
Create clear, reviewable decision support for EU programmes, structural funds, crowdfunding platforms, and issuer review processes.
The problem
Business Risk Is Moving Faster Than Traditional Review Models
Institutions are being asked to fund, lend to, support and evaluate businesses in markets where technology, regulation and valuation logic change quickly. AI has made business claims harder to verify, and companies can appear more advanced simply by presenting themselves as AI businesses.
Traditional review practices can still test documentation, eligibility, credit history and basic financial logic. They are less effective when technology, intellectual property, regulation, team capability, use of funds and market timing interact with each other.
This creates a control problem. A business can look credible on paper while the real risk sits between sections of the material: an unsupported technology claim, a regulatory assumption, a valuation driven by an AI label, or a funding request that does not match the milestones.
For institutions, the question is not only whether a business sounds promising. The question is whether the submitted materials support the risk profile, funding request and expected business outcome.
How it fits your process
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 analysed 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.
What it surfaces
The Patterns That Are Easy to Miss in a Narrative Review
We analysed and reverse engineered thousands of companies from several industries and markets to understand what factors, often connected and multilayered, impacted business success and to what extent. DDScore uses its own proprietary AI developed through four years of R&D and evaluates how the main factors interact across the business, not only whether each section sounds convincing on its own.
Financial models that require unrealistic capacity
Revenue projections, sales velocity, margins, conversion rates, or staffing assumptions that the plan cannot credibly support.
Market claims that overstate reachable demand
Large market narratives without a credible route to the first meaningful segment, or adoption assumptions unsupported by current market evidence.
Competitive landscapes with relevant omissions
Direct and indirect alternatives that applicants may not mention, but that evaluators need to understand before judging viability.
Capability gaps relative to the plan
Team skills, operational roles, technical responsibilities, or commercial functions that the application implies but does not evidence.
Business models that break at target volume
Unit economics, operational constraints, infrastructure needs, or delivery models that work in early stages but fail under the projected scale.
Assumptions that compound into execution risk
Individually manageable assumptions that become material when modelled together through advanced probabilistic analysis.
Public-source inconsistencies
Claims about the company, team, traction, or market position that conflict with websites, professional profiles, public records, or other available sources.
The twelve dimensions
Twelve Areas. Scored Independently. Analysed Together
DDScore provides a structured first pass analysis of business materials. The system reviews the submitted documents, applies market and industry benchmarks, scores the case across 12 due diligence dimensions and analyses how the main factors interact.
The report helps institutions understand 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.
DDScore gives institutions a more consistent way to compare different businesses, even when the companies operate in different sectors, use different technologies or apply for different forms of support.
Example score only. Your report scores each dimension based on your submitted materials.
Offering
Product or service maturity relative to what is claimed, and whether the resources can deliver what the model requires.
Example score only. Your report scores each dimension based on your submitted materials.
Team
Backgrounds, capability gaps, and roles assessed against what the plan actually demands.
Example score only. Your report scores each dimension based on your submitted materials.
Market
Market sizing, buyer behaviour, penetration assumptions, adoption barriers, and realistic capture rates.
Example score only. Your report scores each dimension based on your submitted materials.
Competitors
The competitive landscape reconstructed independently, including omitted rivals and indirect alternatives.
Example score only. Your report scores each dimension based on your submitted materials.
Technology & IP
Proprietary capability, technical dependencies, replication risk, IP ownership, and third-party exposure.
Example score only. Your report scores each dimension based on your submitted materials.
Scalability
Revenue and cost dynamics at target volume, with operational ceilings and infrastructure constraints identified.
Example score only. Your report scores each dimension based on your submitted materials.
Legal & Regulatory
Compliance obligations mapped against the business model, target markets, and jurisdictions.
Example score only. Your report scores each dimension based on your submitted materials.
Exit
Exit scenarios, acquirer logic, milestone credibility, and the conditions required for each outcome.
Example score only. Your report scores each dimension based on your submitted materials.
Presentation
Narrative coherence, evidence quality, internal consistency, and alignment with public presence.
Example score only. Your report scores each dimension based on your submitted materials.
Financial Critique
Revenue assumptions stress-tested from the bottom up and assessed against budget, team, and market conditions.
Example score only. Your report scores each dimension based on your submitted materials.
Fundability
Valuation, round structure, repayment or follow-on viability, and the conditions required for financing to make sense.
Trust & Security
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
Uploaded materials and generated reports are permanently deleted within 24 hours of report completion.
No Training
Submitted materials are never used to train DDScore models or third-party AI models.
EU Servers & GDPR
Processing takes place on servers located within the European Union and is designed for EU data protection requirements.
NDA Available
Formal non-disclosure agreements available for institutional users.
Common questions
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 analyses 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 access can be discussed for larger workflows.
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 EU servers. NDA available on request.
Every Application Deserves the Same Standard of Scrutiny
Use DDScore as a structured first-pass layer before full human review begins.
Important limits
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 DDScore scoring model.