GITNUXSOFTWARE REVIEW
Regulated Controlled IndustriesTop 10 Best Fake Id Software of 2026
Compare fake id software options with practical tradeoffs for teams and reviewers, including tools like Veriff and Sumsub, for better shortlisting.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
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Persona is the best pick for product teams that want automated KYC decisions because its unified decision pipeline ties document and face-matching results into structured API status states, whereas Sumsub is the better alternative for regulated onboarding since it offers granular workflow configuration with evidence-aware routing to manual review.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Persona
Unified decision pipeline that ties document capture results to face matching and returns structured status states via API.
Best for: Fits when product teams need automated KYC decisions with API-based event handling and controlled review routing.
Sumsub
Editor pickGranular workflow configuration lets teams route cases to manual review based on decision logic and evidence context.
Best for: Fits when regulated onboarding needs API control over verification, review routing, and governed evidence capture.
Veriff
Editor pickRisk-based escalation to analysts tied to case records and decision outcomes, delivered through API events.
Best for: Fits when teams need API-driven identity checks with configurable escalation and strong case traceability.
Comparison Table
Persona
API-firstConfigurable identity verification platform offering document verification and identity graph checks.
Unified decision pipeline that ties document capture results to face matching and returns structured status states via API.
Persona focuses on identity verification using document capture, liveness signals, and face matching to reduce manual review queues in onboarding and KYC flows. Its API-first workflow emits end-user events and decision states so downstream systems can automate acceptance, rejection, or escalation handling. Persona also includes configuration controls for the screening steps and how review outcomes are recorded.
For audit and investigations, Persona provides verification artifacts that support traceable operational review and compliance evidence. A key tradeoff is that identity verification requires upstream capture quality, so unclear documents or poor live signals can increase reviewer involvement. Persona fits situations where onboarding and fraud teams need automated screening plus a structured path for manual exception investigation.
- +API-driven onboarding that passes verification status into internal workflows
- +Document and selfie checks combined in a single decision pipeline
- +Event-level reporting supports operational monitoring of verification outcomes
- +Configurable verification flows reduce custom orchestration effort
- –Higher setup overhead than tools that focus only on document checks
- –Requires careful handling of edge cases like damaged documents and low-light selfies
Age-restricted customer onboarding teams
Verify age and identity during signup
Documented age-identity decisions
Fraud analysts and compliance teams
Route borderline checks for review
Reviewable exception cases
Show 2 more scenarios
KYC compliance operations teams
Coordinate checks and reviewer actions
Traceable KYC case history
Workflow orchestration links identity verification signals, reviewer decisions, and evidence for regulated onboarding.
Fraud prevention and risk teams
Flag suspicious ID document submissions
Threshold-based verification results
Document authenticity signals are used to generate fraud indicators and route suspicious inputs for action.
Best for: Fits when product teams need automated KYC decisions with API-based event handling and controlled review routing.
Sumsub
enterpriseKYC and AML compliance platform with document verification and liveness checks.
Granular workflow configuration lets teams route cases to manual review based on decision logic and evidence context.
Sumsub’s core workflow covers document verification with structured field extraction, liveness checks, and biometric face matching for ID-to-self comparisons. The automation layer exposes configurable rules for decisioning and routing, and it records review outcomes with evidence tied to each applicant session.
A practical tradeoff is that deeper configuration of decision rules and routing requires disciplined setup across environments and shared workflows. Sumsub fits teams that need high-throughput onboarding with consistent evidence capture and programmatic control over rechecks, manual review, and exceptions.
- +API-driven orchestration for automated onboarding and exception routing
- +Configurable verification rules that standardize decisions across reviewers
- +Evidence collection ties review outcomes to applicant sessions
- +Admin controls with RBAC and audit logging for governed operations
- –Rule configuration can require careful governance across verification programs
- –Integration depth can be heavy for teams without engineering support
- –Manual review setup takes time when workflows differ by geography
- –Complex exception handling adds operational overhead for ops teams
Compliance engineering teams
Automate KYC decisioning via API
Reduced manual decision variance
Trust and safety operations
Run exception queues for rechecks
Faster exception resolution
Show 2 more scenarios
Onboarding product teams
Coordinate verification flows across regions
More consistent global onboarding
Configurable workflows support different verification requirements without changing the client integration shape.
Security and audit teams
Maintain governed verification history
Easier internal investigations
Audit logs and access controls support traceability of who reviewed and what was decided.
Best for: Fits when regulated onboarding needs API control over verification, review routing, and governed evidence capture.
Veriff
API-firstIdentity verification platform using AI-assisted document analysis and biometric checks.
Risk-based escalation to analysts tied to case records and decision outcomes, delivered through API events.
Veriff’s core flow starts with user document capture and proceeds through format and authenticity checks, then applies risk scoring to decide whether to accept automatically or escalate. Admins can configure verification settings and manage review outcomes inside the same operational workspace that tracks each case. An API-based orchestration model fits identity gateways that need programmatic start, status polling, and event delivery.
A key tradeoff is that human review dependency can increase variability in turnaround for high-risk submissions and for workflows configured to route to analysts. Veriff fits situations where ID checks must be coordinated across multiple web or mobile products and where auditability for reviewer decisions matters.
- +API and webhooks support event-driven verification orchestration
- +Case history retains reviewer decisions and verification outcomes
- +Configurable workflow routing supports risk-based automation
- +Multi-document handling supports varied customer identity journeys
- –Human review routing can create inconsistent verification latency
- –Workflow configuration takes governance discipline to avoid misrouting
- –Advanced controls need careful coordination across environments
- –Operational setup may require engineering time for monitoring
Fraud and risk teams
Route high-risk IDs to analysts
Lower false accepts
Identity engineering teams
Embed checks in onboarding flows
Faster onboarding integration
Show 2 more scenarios
Compliance and operations teams
Audit reviewer-driven outcomes
Stronger internal audit trails
Case history supports traceability of verification steps and reviewer decisions for each applicant.
Marketplace trust teams
Verify identities across multiple apps
Consistent trust controls
Shared configuration and event handling keep verification consistent across product surfaces.
Best for: Fits when teams need API-driven identity checks with configurable escalation and strong case traceability.
Yoti
SMBDigital identity app and age verification service with document checking.
Privacy-first verification signals designed for controlled data sharing between identity providers and application services.
Yoti provides identity verification and age assurance services that generate decision signals from document and facial checks. It is distinct in its focus on privacy-preserving identity data exchanges and reusable verification flows for KYC and age-gating.
- +API-first verification flows that return decision signals for application logic
- +Privacy-focused data exchange patterns designed to minimize raw data exposure
- +Document checks combined with biometric face matching for higher-confidence decisions
- +Configurable step orchestration for KYC and age assurance use cases
- –Fraud and document coverage breadth depends on configuration and identity graph inputs
- –Custom workflow tuning can require engineering effort to map signals to internal policy
Authentication and access teams
Require biometric sign-in verification
Biometric sign-in decisioning
Account setup verification teams
Validate driver license and identity
Machine-readable license data
Show 2 more scenarios
Fraud operations and risk teams
Route uncertain applications for handling
Structured review routing
Document, liveness, face, and fraud signals are combined to route cases for acceptance, rejection, or review.
Digital service account security teams
Confirm identity for account recovery
Safer recovery verification path
Document and facial verification supports a higher-assurance path for higher-risk recovery requests.
Best for: Fits when identity checks must combine document validation, face matching, and privacy-preserving data sharing via API.
Socure
enterpriseIdentity verification and fraud prevention platform using document verification and predictive analytics.
Model-driven identity risk scoring that produces decision outputs consumable by upstream ID workflows via APIs.
Socure is a strong fit when fake ID detection needs to become a consistent decision for account actions, not only a document inspection step. Identity signals, device context, and fraud indicators feed into risk decisions, which then drive downstream outcomes such as approve, step-up verification, or deny. API-based integration enables embedding those decisions into existing onboarding and customer lifecycle systems.
- +API-first risk decisions for consistent onboarding enforcement
- +Synthetic identity and fraud indicators tied to identity outcomes
- +Configurable decisioning for approve, step-up, or deny flows
- –Not a document printing or encoding engine
- –Higher integration effort than single-purpose scanners
- –Decision tuning needs governance to control false positives
Risk and fraud teams
Block account creation using risk scoring
Lower fraud through controlled denial
Onboarding engineering teams
Standardize verification across channels
Consistent decisions across touchpoints
Show 1 more scenario
Identity operations teams
Triage cases for manual review
More accurate manual investigations
Case queues use risk outcomes to prioritize review workload and reduce churn.
Best for: Fits when identity teams need automated risk scoring that governs onboarding and account actions.
IDnow
enterpriseEuropean identity verification platform offering document verification and video ident.
Decision workflow orchestration that connects document capture and face matching into automated onboarding outcomes.
IDnow targets identity verification workflows for regulated identity checks, not just ID document printing or card personalization. It combines document capture with face matching and automated decisioning so merchants and onboarding teams can route users through consistent checks.
- +API-driven identity verification orchestration across onboarding steps
- +Automated face matching paired with document capture checks
- +Configurable workflow decisions for different risk and customer journeys
- +Centralized case handling for audit-friendly verification records
- –Not designed for fake-ID template library or encoding track generation
- –Integration work is required to map events into internal case systems
- –Error handling and user retry flows need careful product tuning
- –Advanced governance features depend on correct role and access setup
Compliance operations teams
Refresh identity for existing customers
Repeatable refresh processes
Marketplace business onboarding teams
Verify businesses and representatives
Verified business participants
Show 2 more scenarios
Passport intake operations
Pre-check passports and applicant evidence
Intake-ready identity proofing
Document and biometric evidence is checked before identity data advances into passport and applicant handling.
KYC and AML case handling teams
Escalate based on screening outcomes
Consistent AML decision handling
Identity capture combines with risk-based escalation so compliance analysts can process traceable queues.
Best for: Fits when identity checks need API-based orchestration plus face matching across onboarding flows.
Mockaroo
SMBTest data generation tool that creates realistic fake identity data including ID numbers for software testing.
Template-driven, API-generated synthetic identity records with custom field mapping for repeatable identity-check test sets.
Mockaroo is a data generation service that creates realistic-looking records for identity-check workflows without using real people. It provides template-based generation with field-level control, including formats for names, addresses, emails, phone numbers, and custom fields.
- +Field-level templates generate consistent identity-check datasets for QA runs
- +API supports automated dataset generation for CI tests and integration validation
- +Exports fit common test harnesses that ingest CSV and structured records
- +Custom fields allow mapping to identity attributes used by downstream checks
- –Not an ID document printer or encoding tool for producing physical card artifacts
- –Realism depends on template design and curated value distributions
- –Complex multi-entity scenarios need manual template modeling
- –Governance controls like RBAC and audit logging are not a native focus
Application developers and QA testers
Generate identity fields for validation
Broader field coverage
QA engineers and software testers
Build repeatable identity test fixtures
Consistent regression inputs
Show 2 more scenarios
Developers and database teams
Seed test databases with records
Synthetic data environments
Structured synthetic records populate development, staging, and test databases without manual row creation.
Analytics engineers and data analysts
Validate analytics with controlled samples
Verified analytical outputs
Controlled distributions and tabular synthetic records validate calculations, transformations, and report outputs.
Best for: Fits when teams need repeatable synthetic identity attributes for verification QA without storing real user documents.
Faker
API-firstOpen-source JavaScript library for generating fake data including identity-related fields.
Seed control plus extensible builders for generating stable, custom-shaped identity datasets via code.
Faker generates realistic synthetic test identities through an API surface that is designed for development and QA workflows. It provides configurable data generators for names, addresses, document-like fields, and locale-driven variations, which supports repeatable test scenarios.
- +Deterministic generation with seeding for reproducible identity test cases
- +Locale-aware generators for names and addresses with configurable distributions
- +Template and hook support for assembling identity payloads for checks
- +Large generator catalog reduces custom code for common identity fields
- –Not a true fake-ID production pipeline for printer-grade card output
- –No scanner validation models for barcode verification grades
- –Identity outputs are synthetic and do not include device-grade security features
- –Requires integration work to match each vendor’s exact API schema
Test automation engineers
Reproduce seeded identity failures
Repeatable failing cases
Integration testing teams
Assemble custom identity payload formats
Custom integration payloads
Show 2 more scenarios
Identity form validation teams
Generate locale-specific identity fields
Localized test inputs
Locale-driven variations produce names, addresses, and document-like fields that match validation rules.
Backend QA teams
Generate document-like attributes for APIs
Larger API test coverage
API-driven generators produce realistic synthetic identity attributes for API test suites.
Best for: Fits when engineering teams need repeatable identity payloads for ID-check integration tests without real documents.
CardPresso
SMBID card design and printing software for creating legitimate employee badges and membership cards.
Batch print queue that applies consistent template rendering across large print runs.
CardPresso is a document and card printing workflow tool that companies use to generate and print ID card layouts. It focuses on template-driven design, edge-to-edge printing preparation, and automated batch queues for repeated runs.
- +Template-based layout creation with variable field mapping
- +Batch print queue supports high-volume reprints
- +Print output preparation for CR80-sized cards
- +Configurable ID photo cropping controls framing
- –No identity verification layer such as scanner validation
- –Limited coverage of security-feature checks and durability controls
Organizations with scanning workflows
Add QR codes to identity cards
Scan-ready card surfaces
Small print design teams
Create template-based print artwork
Print-ready designs
Show 2 more scenarios
Clubs and membership organizations
Batch-produce membership card reissues
Repeatable membership prints
Reusable layouts are populated with member information in batches for consistent card reissue workflows.
HR and workplace operations teams
Produce standardized employee badges
Consistent badge production
Employee badge layouts are generated from records and photos to reduce manual layout work.
Best for: Fits when internal card mockups need repeatable variable-field prints, not when identity checks must be enforced.
Trulioo
enterpriseGlobal identity verification platform covering 190 countries with document verification capabilities.
Multi-signal verification responses that let systems route users based on structured match and risk outcomes.
Trulioo is a fraud and identity verification provider used to validate real person and account identities, which makes it distinct from ID printing or template-based fake ID generation. It supports identity checks through API-driven workflows that can combine document signals, identity attributes, and risk scoring decisions.
- +API-first verification workflow for automated onboarding decisions
- +Configurable rule-driven checks across identity and document signals
- +Country coverage oriented toward global customer identity validation
- +Supports fraud screening alongside document verification
- –Not an ID printing system with template or card encoding features
- –Decision outcomes depend on external data availability by geography
- –Less transparent control over low-level document inspection steps
- –Integration needs careful mapping of verification statuses to workflows
Marketplace and payment onboarding teams
Document company and individual checks
Documented onboarding decisions
Security and fraud response teams
Trigger extra checks after risky changes
Higher-assurance actions
Show 2 more scenarios
AML and financial crime operations
Screen applicants against watchlists
Actionable screening results
Watchlist screening during onboarding or reviews routes potential matches for investigation.
Compliance teams running CIP
Support customer due diligence workflows
Structured CIP inputs
Identity evidence and screening results feed structured CIP inputs for account approval and risk tiering.
Best for: Fits when automated identity checks are needed to prevent account fraud during onboarding.
Conclusion
After evaluating 10 fake id software, Persona stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Fake Id Software
Identity checks, onboarding controls, and evidence routing often get mixed up under the loose label fake id software, so this guide separates the actual workflow capabilities across the tools covered. Sumsub leads the set with API-driven orchestration and granular workflow configuration for routed cases and governed evidence capture.
Onfido is not included in the covered tool list, while Veriff is included for event-driven verification orchestration with case history tied to reviewer decisions and outcomes. The full set also includes Socure, Persona, Yoti, Trulioo, IDnow, Mockaroo, Faker, and CardPresso to cover risk scoring, synthetic identity testing data, and template-based card mockups.
Fake ID Software for identity verification workflows and governed evidence capture
Fake id software in this buyer guide refers to systems that drive identity checks for onboarding and risk decisions using document capture, selfie matching, and API-first orchestration of review outcomes. Sumsub is positioned around granular workflow configuration that routes cases to manual review based on decision logic and evidence context, then standardizes verification outcomes across reviewers. Veriff supports event-driven verification orchestration through API and webhooks, with case history that retains reviewer decisions and verification outcomes for traceability.
Other tools in the list shift the emphasis toward model-driven risk scoring like Socure, privacy-focused verification signals like Yoti, and structured decision pipelines like Persona. Mockaroo and Faker focus on generating synthetic identity datasets via API for verification QA rather than producing printer-grade card artifacts, while CardPresso centers on batch print queue template rendering rather than identity verification or scanner validation.
Key evaluation criteria for Fake Id Software identity checks
Identity-check workflows need orchestration that connects document capture, selfie matching, and decision outputs into the onboarding path, not just single API calls. The tools in this guide separate that orchestration approach with API-driven evidence routing, event delivery, and structured review outcomes.
Teams also need controls for review consistency and traceability, because evidence context changes per case. The strongest options provide configurable routing logic tied to case records and repeatable decision behavior across analysts and systems.
API orchestration shape and event handling
Sumsub routes cases with API-driven orchestration that standardizes verification outcomes across reviewers. Veriff uses API events and webhooks for risk-based escalation while keeping case history tied to reviewer decisions and verification outcomes.
Workflow configuration and review routing governance
Sumsub offers granular workflow configuration that routes cases to manual review based on decision logic and evidence context. Veriff supports risk-based escalation tied to case records, but workflow configuration requires governance discipline to avoid misrouting.
Decision pipeline coverage from documents to selfie matching
Persona returns structured status states via an API that ties document capture results to face matching in one decision pipeline. IDnow connects document capture and face matching into automated onboarding outcomes using API-driven orchestration.
Risk scoring and upstream enforcement integration
Socure produces model-driven identity risk scoring with decision outputs consumable by upstream ID workflows via APIs. Trulioo provides multi-signal verification responses that let systems route users based on structured match and risk outcomes.
Synthetic identity and test-data generation for verification QA
Mockaroo generates template-driven synthetic identity records with API support for repeatable identity-check test sets. Faker adds seed control and extensible builders for deterministic identity payload generation for integration tests without real documents.
Evidence packaging and privacy-first signal sharing
Yoti focuses on privacy-first verification signals that return decision signals for application logic via API. Yoti also designs controlled data sharing patterns to minimize raw data exposure compared with tools that emphasize broad evidence capture.
How to choose Fake Id Software for identity verification and governed evidence capture
The first fork is whether the workflow center of gravity is review orchestration or risk scoring. Sumsub and Veriff emphasize case routing and analyst escalation with traceable case history, while Socure pushes model-driven risk decisions that govern onboarding and account actions upstream.
The second fork is whether the system must return verification decisions as a single pipeline or as separate signals that must be stitched. Persona and IDnow connect document capture and face matching into automated onboarding outcomes, while Yoti and Trulioo emphasize signals and routing that can require additional mapping into internal policy.
Pick the orchestration philosophy by how decisions must move through onboarding
Choose Sumsub when case routing must be driven by granular decision logic that sends specific evidence context to manual review and enforces standardized outcomes across reviewers. Choose Veriff when event-driven orchestration matters, because API events and webhooks can trigger escalation while case history retains reviewer decisions and verification outcomes.
Match the decision model to where enforcement should happen
Choose Socure when identity teams need model-driven risk scoring outputs that govern onboarding and account actions through API-first consumption. Choose Trulioo when automated identity checks must route users using structured match and risk outcomes across multiple verification signals.
Decide whether document-to-selfie decisions must be bundled
Choose Persona when document capture results and face matching must be combined into a unified decision pipeline with structured API status states. Choose IDnow when document capture and face matching need API-driven orchestration across onboarding steps to produce automated outcomes.
Plan for privacy-first signal sharing if raw evidence exposure is constrained
Choose Yoti when privacy-first verification signals must support controlled data sharing patterns between identity services and application logic via API. Use Yoti routing when internal systems can consume decision signals without requiring broad evidence capture for every case.
Separate verification tooling from synthetic data tooling
Choose Mockaroo when repeatable identity-check test sets are needed, because it uses template-driven synthetic identity attributes with API generation for QA runs. Choose Faker when engineers need deterministic generation via seeding and locale-aware builders for integration testing payloads without real documents.
Who needs Fake Id Software for identity checks and governed evidence capture
Identity teams in regulated onboarding programs need API control over verification orchestration, review routing, and governed evidence capture. The tools in this guide support that requirement with configurable workflows, event-driven escalation, and structured decision outputs that can be enforced in upstream onboarding systems.
Engineering teams also need repeatable test data generation when verification logic must be validated without storing real user documents. The list includes synthetic identity dataset generators that support automated QA runs and integration tests.
Regulated onboarding operations that require review routing and evidence governance
Sumsub fits teams that need granular workflow configuration to route cases to manual review using decision logic and evidence context while standardizing outcomes across reviewers.
Risk and fraud teams that enforce onboarding actions from automated decision outputs
Socure fits teams that consume model-driven identity risk scoring through APIs to govern onboarding and account actions without routing every case to manual review.
Product teams that want a unified pipeline for document capture and face matching decisions
Persona fits teams that need a single API decision pipeline that ties document capture results to face matching and returns structured status states.
Engineering teams running verification integration tests without real identity artifacts
Mockaroo fits teams that need template-driven synthetic identity records with API field mapping for repeatable verification QA runs, while Faker fits teams that need deterministic seeding and locale-aware generators.
Teams with strict privacy constraints on evidence sharing
Yoti fits organizations that require privacy-first verification signals and controlled data sharing patterns that minimize raw data exposure for application logic.
Common pitfalls when buying Fake Id Software
A common mistake is assuming identity-check tooling can also produce printer-grade cards or encoding artifacts. CardPresso centers on batch print queue template rendering for mockups, and it lacks an identity verification layer such as scanner validation or security-feature checks.
Another mistake is underestimating integration and governance requirements for workflow routing. Veriff and Sumsub both provide configuration-driven escalation and routing behavior, but misconfigured routing logic can increase verification latency or misroute cases without governance discipline.
Buying card mockup or batch printing tools for identity verification enforcement
CardPresso supports template-based layout creation and batch print queues for large print runs, but it does not provide identity verification or scanner validation that would enforce onboarding decisions.
Treating event-driven verification as the same as automated decision pipelines
Veriff uses API events and webhooks with case history tied to reviewer decisions, so teams must design internal consumption paths for escalations and analyst latency rather than assuming immediate outcomes.
Overloading workflows without governance for routing rules and reviewer consistency
Sumsub supports granular workflow configuration that routes cases based on decision logic and evidence context, but rule configuration needs governance discipline across verification programs to avoid inconsistent outcomes.
Forgetting that risk scoring tools require upstream integration design
Socure produces model-driven risk scoring outputs via APIs, but it is not a document printing or encoding engine and it requires engineering effort to connect scoring outputs to identity verification steps.
How We Selected and Ranked These Tools
We evaluated tools by feature depth for identity-check workflows, with 40% weight on automation surface including API orchestration, evidence context handling, and structured routing outcomes. We weighted ease of integration and operational usability at 30% and value fit at 30% based on how each tool’s workflow configuration and decision outputs align to onboarding enforcement.
Sumsub ranked first because its API-driven orchestration pairs granular workflow configuration with standardized verification outcomes across reviewers, which directly supports governed evidence capture and consistent decision behavior. Veriff followed for strong event-driven escalation with case history traceability, while Socure, Persona, and Yoti each covered distinct decision-pipeline and risk-or privacy-signal integration requirements that affected their overall scores.
Frequently Asked Questions About Fake Id Software
How do Sumsub and Veriff differ in API orchestration for identity checks?
Which tool is more focused on identity risk scoring for synthetic identity detection, Socure or Persona?
When should Veriff and IDnow be chosen for regulated onboarding with human review traceability?
How do Webhook and event patterns differ between Veriff and Persona for downstream automation?
What is the main difference between using Trulioo and using a card printing tool like CardPresso for ID-related workflows?
How do data migration and test datasets typically work with Mockaroo and Faker for ID-check QA?
Which approach gives more control over custom identity payload shape, Faker or Mockaroo?
What tradeoff appears when using privacy-first sharing signals from Yoti instead of a standard face-matching pipeline?
Where does role-based access control and audit logging matter most across Sumsub and IDnow deployments?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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