GITNUXSOFTWARE REVIEW
Cybersecurity Information SecurityTop 10 Best Digital Identity Verification Software of 2026
A market-research roundup comparing digital identity verification software options, with fit notes for security, compliance, and onboarding teams.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
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Framework: Features 40% · Ease 30% · Value 30%
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Persona is the best pick for onboarding teams that need API-driven orchestration because verification sessions can route each step’s result into automated decisions or a manual review queue with exception handling baked in, while Trulioo is a strong alternative for enterprises needing broad identity signals and rules-based outcomes with evidence for routing and fallback 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
Verification session orchestration ties step results to automated decisions and a manual review queue.
Best for: Fits when onboarding teams need orchestration, exception handling, and API-driven automation across verification steps.
Veriff
Editor pickCase management for investigators ties verification results to review decisions for exception handling.
Best for: Fits when onboarding teams need document-plus-face verification with configurable automated review routing.
Trulioo
Editor pickRules-driven decision responses that return outcome and evidence fields suitable for automated routing.
Best for: Fits when onboarding teams need broad identity signal coverage and API-driven decision routing with manual review fallbacks.
Comparison Table
Persona
API-firstIdentity platform for verification, fraud decisioning, and reusable user identity flows.
Verification session orchestration ties step results to automated decisions and a manual review queue.
Persona’s core capability is end-to-end orchestration of identity verification steps with an administration layer that configures flows and manages verification sessions. Teams can use the REST API to create verification attempts, ingest results, and build application logic around verification states. The product’s operational model emphasizes review queues for manual investigation when automated checks cannot reach an allow decision.
A tradeoff is that deeper governance and tighter workflow control require more configuration work than simpler IDV APIs that only return a pass or fail result. Persona fits situations where onboarding teams need step-level control, exception handling, and repeatable verification outcomes across many relying parties or product flows.
- +Configurable verification flows with step-level control and exception routing
- +REST API supports automation around verification lifecycle states
- +Manual review queue helps handle edge cases without blocking all users
- +Audit trails and access controls support operational governance needs
- –Workflow configuration takes time before teams reach stable production behavior
- –Decision outcomes can require custom mapping into existing application states
- –Integration effort increases when multiple product flows share one verification policy
- –High throughput tuning depends on correct orchestration and callback handling
Fintech onboarding teams
Automate KYC steps with review queue
Lower drop-off with controlled exceptions
Identity platform engineering
Integrate IDV into onboarding via API
Faster onboarding integration cycles
Show 2 more scenarios
Risk operations teams
Govern verification policy changes
Tighter operational accountability
Use role controls and audit trails to manage configuration updates and investigate decision history.
Enterprise compliance teams
Manage exceptions across regions
More consistent exception processing
Coordinate manual handling and maintain a consistent verification workflow across multiple business units.
Best for: Fits when onboarding teams need orchestration, exception handling, and API-driven automation across verification steps.
Veriff
API-firstOnline identity verification software with document, face, and fraud prevention checks.
Case management for investigators ties verification results to review decisions for exception handling.
Veriff’s core flow centers on collecting an identity document and a live face capture, then producing a decision outcome that can be consumed by an onboarding system. The product’s value shows up when decision routing needs to balance automation and investigator workload, since borderline cases can be pushed to a review queue. Veriff also supports integrations that fit into existing onboarding pipelines through API-driven enrollment, status checks, and result retrieval.
A tradeoff appears in the operational overhead of tuning review routing and acceptance thresholds to match each market and document type. Veriff fits best when identity verification is a step in a larger onboarding journey and investigators need structured case context for exceptions.
- +Clear decision outcomes that support automated pass fail and manual review routing
- +Strong document authentication plus face capture checks in one workflow
- +API-first enrollment and status handling for onboarding orchestration
- +Investigator-focused case handling for exceptions
- –Routing and thresholds require ongoing tuning for document and region variance
- –Audit and governance setups depend on careful integration design
- –Edge-case investigations can increase investigator workload without tuning
- –Throughput and latency behavior depends on integration timing and retry logic
Risk and onboarding teams
Automate KYC onboarding decisions
Fewer manual checks
Fraud operations teams
Handle document forensics edge cases
Lower dispute rate
Show 2 more scenarios
Platform engineering teams
Integrate verification into onboarding flows
Consistent decisioning
Call Veriff via API to create verification sessions and fetch results for downstream systems.
Customer operations teams
Manage high-friction verification retries
Higher completion rate
Track verification outcomes to guide user retry paths and reduce drop-off in onboarding.
Best for: Fits when onboarding teams need document-plus-face verification with configurable automated review routing.
Trulioo
enterpriseGlobal identity verification software with business verification and watchlist screening.
Rules-driven decision responses that return outcome and evidence fields suitable for automated routing.
Trulioo is a digital identity verification vendor focused on connecting onboarding flows to authoritative identity data sources. Core capabilities include document verification, identity attribute matching, and risk-oriented decisioning that can feed pass, fail, or step-up review paths.
Trulioo’s integration approach centers on an identity verification API that supports multiple verification signals in a single request flow. Admin teams can control verification behavior through configurable checks and rules that help route borderline cases into manual review.
- +Identity verification API supports multiple checks within a single decision request
- +Configurable routing for cases that need manual review
- +Country and document coverage designed for onboarding at scale
- +Fraud and risk decisions can be expressed through reusable evaluation rules
- –Complex onboarding logic can require more engineering work than basic IDV wrappers
- –Manual review integration depends on how case outcomes are handled downstream
- –High-volume latency tuning often needs careful request batching design
- –Governance for model and rule changes needs documented change control
Onboarding and verification teams
Verify applicants during account creation
More consistent decisions at signup
Fraud and synthetic identity teams
Detect inconsistent identity submissions
Earlier detection of suspicious users
Show 2 more scenarios
Security and fraud protection teams
Trigger step-up identity checks
Higher assurance for sensitive actions
Routes risky account changes into additional identity or document checks before sensitive actions.
Remote onboarding risk teams
Combine documents with biometric proof
Stronger evidence for decisions
Pairs document checks with selfie or biometric signals for stronger identity evidence in remote onboarding.
Best for: Fits when onboarding teams need broad identity signal coverage and API-driven decision routing with manual review fallbacks.
Jumio
enterpriseIdentity verification platform for ID, biometric, and risk-based transaction screening.
Configurable decisioning that drives automated acceptance, step-up actions, and review queue assignment based on verification confidence.
Jumio covers end-to-end identity proofing steps, including document capture processing and face matching against the identity claim. The solution includes decisioning controls for routing edge cases to review and for applying configurable thresholds across different verification intents.
- +API-first onboarding with documented verification and session workflows
- +Configurable decisioning for routing low-confidence cases to review
- +Document and face matching built into a single capture journey
- +Operational controls for managing exceptions and audit readiness
- –Tuning thresholds is required to avoid excessive false rejections
- –Workflow customization can require deeper integration work
Digital onboarding teams
Automate account opening decisions
Higher completion rate with review coverage
Compliance engineering
Govern identity proofing exceptions
Fewer manual reviews over time
Show 1 more scenario
Fraud and risk operations
Reduce fraud in identity claims
Lower acceptance of bad identities
Teams apply risk controls and verification confidence thresholds to step up suspicious attempts.
Best for: Fits when onboarding teams need automated verification decisions plus governed manual review routing.
SEON
fraud-focusedFraud prevention and identity verification software for onboarding and transaction risk.
Verification outcomes can be routed by configurable decision rules that incorporate multiple identity and risk signals.
SEON provides digital identity verification through document capture, face matching, and risk-based decisioning to route users to auto-approve or manual review. The product focuses on integration with customer onboarding flows using an API and configurable rules that combine verification signals into a single outcome. SEON also supports identity signals needed for fraud prevention workflows, including behavior and device-related risk inputs that inform step-up actions.
- +Rules-driven decisioning can route borderline cases into a manual review queue
- +Document and face verification signals are combined into one verification outcome
- +API integration supports onboarding flows that need custom UI and orchestration
- +Configurable risk thresholds help tune false accept and false reject balance
- –Advanced tuning typically requires iterative review of verification outcomes and outcomes drift
- –Case handling depth is less visible than workflow suites that include full adjudication tooling
Onboarding and verification teams
Combine verification and risk scoring
Escalates higher-risk applicants
Growth, trust, and safety teams
Score registrations for synthetic identities
Fewer risky accounts enter
Show 2 more scenarios
Digital product security teams
Assess login and account activity
Earlier routing of suspicious activity
Evaluates login events using device, identity, and behavioral context to support risk routing.
E-commerce fraud and payments teams
Screen card-not-present checkout
More consistent risk decisions
Screens card-not-present orders using transaction, device, and identity signals before or after authorization.
Best for: Fits when onboarding teams need API-led identity checks plus risk rules that decide approve, deny, or review.
Socure
enterpriseIdentity verification and fraud platform for onboarding, account protection, and compliance.
Automated decisioning with configurable escalation to manual review when verification confidence drops.
Socure pairs identity verification workflows with risk signals aimed at onboarding decisions. The solution integrates into customer systems through APIs for document and identity capture, risk scoring, and decisioning.
- +API-first integration for verification checks and decisioning
- +Configurable verification flows with routing to manual review
- +Risk-centric signals that support adaptive onboarding decisions
- +Operational controls for reviewing and managing exceptions
- –Workflow configuration can require engineering involvement for complex orchestration
- –Manual review dependency can increase operational load at scale
- –Some verification outcomes may need tuning to match false acceptance goals
- –Case operations rely on setup discipline across teams
Banks and fintech onboarding
Make risk-based onboarding decisions
Faster decisions with exceptions
Regulated onboarding risk teams
Conduct remote proofing with liveness
Stronger identity assurance
Show 2 more scenarios
Fraud prevention and identity risk teams
Identify synthetic identity applications
Earlier detection of synthetic identities
Uses identity, behavioral, device, and entity signals to detect fabricated identity patterns.
Fraud response and trust teams
Trigger challenges or remediation
More consistent responses
Uses identity outcomes to start challenge, block, or remediation workflows for suspicious applications.
Best for: Fits when teams need API-driven IDV decisions plus manual review handling for exception cases.
AU10TIX
enterpriseIdentity verification platform for document authentication, biometrics, and fraud detection.
Case and decision handling that routes verification outcomes into automated decisions or a manual review queue with traceability.
AU10TIX focuses on identity verification workflows that combine document checks with biometric face matching for onboarding and account access use cases. It supports integration via APIs and SDKs so verification can be orchestrated inside an existing customer journey.
- +Configurable verification workflows for automated decisions and manual review fallback
- +API and SDK integration support for embedding checks into existing onboarding flows
- +Case management for handling exceptions with traceable outcomes
- +Audit trail support for governance workflows and investigator handoffs
- –Deep configuration requires careful tuning of verification thresholds and rules
- –Human review queue design can add process overhead for smaller teams
- –Coverage of advanced onboarding variants can depend on additional integrations
- –Response orchestration across multiple verification steps needs stronger implementation guidance
KYC and compliance teams
Automate document checks for onboarding
Faster identity decisions
Remote identity proofing teams
Verify users with selfie and documents
Coordinated remote verification
Show 2 more scenarios
Regulated digital service operators
Support age and eligibility decisions
Automated access decisions
Uses identity verification workflows to support online age or eligibility checks with automated evidence.
Identity operations analysts
Review low-confidence outcomes
Focused review queues
Routes low-confidence or unusual verification outcomes into analyst review queues.
Best for: Fits when teams need document and face verification with API-driven orchestration and review workflows.
iDenfy
SMBIdentity verification software for document checks, biometric verification, and fraud prevention.
Step-up verification triggers let higher-risk sessions route to stronger checks during the same identity journey.
iDenfy performs identity verification by combining document capture with automated checks for document authenticity and biometric matching. The solution supports reusable onboarding flows, including step-up triggers for higher-risk sessions.
- +API-first verification flow design for onboarding and re-verification use cases
- +Automated document authenticity checks reduce manual review volume
- +Manual review queue supports investigation of borderline decisions
- +Configurable triggers for step-up verification in higher-risk sessions
- –Case management controls require more workflow design effort
- –Limited visibility into tuning parameters without deeper implementation work
Fintech and e-commerce onboarding
Verify identity during account registration
Faster identity proofing
Mobile-first onboarding teams
Collect document and selfie from mobile
Reduced manual data entry
Show 2 more scenarios
Online gambling due diligence teams
Provide KYC evidence for onboarding
Repeatable KYC evidence
Delivers identity verification evidence for sportsbook, casino, and gaming account changes.
Payments and platform security teams
Add identity checks for risk triggers
More assurance for risky events
Adds step-up identity checks when users change account details or trigger risk rules.
Best for: Fits when teams need configurable IDV automation with an API and manual fallback for edge cases.
IDnow
enterpriseIdentity proofing software for automated checks, e-signing, and regulated onboarding.
Human-in-the-loop case management that routes uncertain results from automated checks to reviewer workflows.
IDnow differentiates with a verification stack that spans document capture, biometric checks, and case handling through a single integration surface. The solution supports API-driven onboarding flows where manual review can be triggered by decision thresholds and risk outcomes.
- +API integration supports end-to-end onboarding workflows and verification attempts
- +Manual review queue enables governance when automated checks cannot decide
- +Configurable decision thresholds help reduce false acceptance versus false rejection risk
- +Operational tooling supports audit trails for verification events and reviewer actions
- –Integration still requires workflow design around routing, retries, and human fallback
- –Complex onboarding may need coordinated settings across document, biometric, and decision logic
Regulated onboarding teams
Verify applicants before account creation
Decision-ready identity results
Age-restricted service teams
Confirm age and identity evidence
Documented eligibility decisions
Show 2 more scenarios
Research and platform teams
Verify participants before onboarding
Identity-qualified participants
Verifies participants entering research or platform workflows that require trusted identities.
Product and compliance engineering
Embed decisions into custom journeys
Integrated identity outcomes
Embeds verification steps, decisions, and review paths into bespoke onboarding and authentication flows.
Best for: Fits when teams need API-led onboarding with human fallback and audit-ready operations controls.
Shufti Pro
API-firstKYC and identity verification software for document, biometric, and AML checks.
Manual review case management ties failed checks to investigator workflows and decision outputs.
Shufti Pro is a digital identity verification tool used to turn documents, selfies, and manual review into decision-ready onboarding. Its core flow supports identity proofing with document capture and face matching, plus optional liveness checks to reduce spoofing risk.
- +Configurable verification outcomes to route approvals and manual review consistently
- +Case management tools support investigator workflows when automated checks fail
- +Integration-oriented architecture enables event-based verification status handling
- +Document and face matching flow supports identity proofing from a single session
- –Liveness coverage varies by capture setup and requires test cycles per channel
- –Advanced orchestration and multi-service branching needs careful workflow design
- –Admin tooling depth for reviewer governance is lighter than specialized workflow suites
- –Throughput targets depend on integration pattern and media handling choices
KYC teams at digital businesses
Run identity checks during sign-up
Faster decisions with fewer checks
Age-restricted online service teams
Perform evidence-based age assurance
Evidence-based age verification
Show 2 more scenarios
Crypto onboarding and AML teams
Support identity and AML checks
Regulated journey readiness
Provides API-driven identity and screening for crypto onboarding and related compliance processes.
Fraud and risk teams
Escalate to step-up identity proofing
Higher assurance for risky cases
Applies additional document, facial, or liveness checks when stronger assurance is required.
Best for: Fits when onboarding needs document plus selfie verification with a manual review queue.
Conclusion
After evaluating 10 digital identity verification 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 Digital Identity Verification Software
This buyer’s guide covers digital identity verification software for teams that need automated onboarding decisions plus governed exception handling across the first stages of identity proofing. Coverage includes Jumio, Veriff, Persona, Trulioo, SEON, Shufti Pro, IDnow, Socure, iDenfy, and AU10TIX.
The guidance focuses on integration depth, verification session orchestration, and how each platform routes uncertain outcomes into review queues or step-up actions. The comparisons use concrete workflow behaviors like configurable decisioning, evidence handling, and the amount of engineering effort required to reach stable production behavior.
Digital Identity Verification Software for onboarding decisioning, evidence capture, and review routing
Digital identity verification software verifies document authenticity and live identity signals through API calls that drive onboarding flow decisions, including pass, deny, and manual review routing. The software is typically used to reduce manual effort while preserving audit-ready traceability for exceptions that fail automated checks.
Jumio emphasizes configurable decisioning that can automate acceptance, trigger step-up actions, and assign review queue routing based on verification confidence. Veriff pairs document-plus-face verification checks with investigator case management that ties verification results to review decisions for exception handling.
Decisioning and orchestration surfaces for ID verification flows
Digital identity verification software needs decisioning that turns evidence into concrete routing outcomes like pass, deny, or step-up, because onboarding teams must control who gets through and who goes to investigators. The tools differ most in how they expose decision logic to configuration and how they bind verification results to downstream workflow states.
Orchestration depth matters because verification rarely stays a single call. Platforms like Jumio and Persona tie verification outcomes to step actions and review queue assignment, while Veriff and Shufti Pro emphasize investigator case management when automated checks fail.
Configurable automated decisioning tied to routing outcomes
Jumio provides configurable decisioning that can automate acceptance, trigger step-up actions, and assign review queue routing based on verification confidence. SEON provides configurable decision rules that route approve, deny, or review using combined identity and risk signals.
Workflow orchestration across verification steps and exception handling
Persona orchestrates verification sessions so step results map to automated decisions and a manual review queue. Trulioo supports rules-driven decision responses that return outcome and evidence fields that fit automated routing plus manual review fallbacks.
Investigator case management linked to verification results
Veriff includes case management for investigators so verification results map to review decisions for exception handling. Shufti Pro includes manual review case management that ties failed checks to investigator workflows and decision outputs.
API-led onboarding for verification lifecycle automation
Jumio is API-first for onboarding with documented verification and session workflows. Socure is API-first and uses configurable verification flows that route to manual review when confidence drops.
Step-up and re-verification triggers within the identity journey
iDenfy supports step-up verification triggers so higher-risk sessions route to stronger checks during the same identity journey. AU10TIX supports configurable verification workflows for automated decisions with manual review fallback and traceability.
How to choose ID verification software by routing control and operational shape
Choice should start with how the platform exposes decisioning and review routing as production behaviors, not as one-off verification responses. Teams must match the tool’s workflow construction model to the way onboarding and investigator operations already run.
The next cut should separate orchestration-first platforms that aim to control step-level behavior from case-management-first platforms that center investigator adjudication. Then the final fit decision should consider how much engineering is required to keep routing thresholds stable under document and capture variability.
Decide whether routing is decisioning-centric or case-management-centric
If the primary goal is automated acceptance and governed escalation from confidence signals, start with Jumio or SEON because both emphasize configurable decisioning that routes outcomes into review. If the primary goal is investigator adjudication that connects evidence to decision states, start with Veriff or Shufti Pro because both focus on investigator case management tied to verification results.
Choose an orchestration model that matches how verification steps evolve
If verification involves multiple steps that must share state across a session, choose Persona because it ties orchestration to step-level control and exception routing. If the flow needs multiple checks inside a single decision request with outcome and evidence returned together, choose Trulioo or Trulioo-style workflows because they return outcome and evidence fields suitable for automated routing.
Validate API-driven lifecycle automation against existing onboarding architecture
If onboarding must call verification and drive application behavior through API integration, choose Jumio or Socure because both are API-first and include configurable verification flows that route to manual review. If the workflow design depends heavily on mapping platform outcomes into existing application state models, prioritize Persona because it supports REST API automation around verification lifecycle states.
Plan for threshold tuning and routing drift based on capture variability
If routing depends on confidence thresholds that need iterative tuning, plan implementation work similar to Jumio threshold tuning and SEON outcome drift mitigation. If routing stability depends on ongoing integration design that aligns governance and audit needs, plan for Veriff governance setup and audit and governance configurations that depend on careful integration design.
Match step-up capability to risk policy and re-verification needs
If the identity journey needs to escalate to stronger checks within the same session based on higher-risk signals, choose iDenfy for step-up verification triggers. If the platform must route verification outcomes into automated decisions and a manual review queue with traceability, choose AU10TIX for workflow-based decision and review handling.
Who benefits from these ID verification routing and orchestration capabilities
Onboarding teams that need automated decisions with governed exception handling should prioritize tools that expose decisioning and review routing as configurable production behaviors. These teams usually run high-volume identity proofing where throughput and routing consistency determine completion and drop-off outcomes.
Investigations teams also need tooling that preserves context from verification into manual review. The best fit depends on whether investigators receive pre-structured case management tied to evidence or whether teams must build that adjudication workflow around raw outcomes.
Onboarding engineering teams focused on automated pass and step-up routing
Jumio and Socure support API-first verification and configurable escalation paths so engineering can drive onboarding state transitions based on verification confidence.
Compliance and investigator operations teams that require evidence to decision traceability
Veriff and Shufti Pro connect document-plus-face checks to investigator case management so review decisions stay tied to verification results.
Identity orchestration teams running multi-step verification journeys
Persona and Trulioo support orchestration and outcome evidence shaping so teams can map step results into automated decisions and manual review queues.
Risk teams that want rules to route borderline cases for review
SEON and Trulioo provide rules-driven decision responses that route approve, deny, or review using combined signals.
Teams implementing adaptive re-verification or higher-risk escalation
iDenfy and AU10TIX support step-up or workflow-based routing so higher-risk sessions can trigger stronger checks or traceable review paths.
Common pitfalls when buying Digital Identity Verification Software
Many teams treat verification as a single API call and then underestimate the engineering and governance work required to keep routing thresholds stable over time. If routing is configured without an explicit tuning and feedback loop, false rejections and operational load rise quickly.
Another recurring issue is building manual review workflows that do not map cleanly to the platform’s decision outcomes and evidence objects. When case management depth is mismatched to how investigators work, the integration ends up with extra steps and inconsistent adjudication decisions.
Configuring automated thresholds without a tuning plan for document and region variance
Jumio threshold tuning and SEON iterative tuning both require feedback loops, because verification outcome behavior drifts with capture conditions and document variance.
Overbuilding workflow orchestration before verifying the platform’s decision outcome mapping
Persona decision outcomes can require custom mapping into existing application states, so teams should validate mapping early with real onboarding state transitions.
Assuming manual review is automatically covered without designing investigator case routing
Shufti Pro and IDnow both include manual review case management, but integration still requires aligning case outcome handling so failed checks land in the right reviewer workflows.
Choosing rules-driven decision routing without confirming downstream evidence handling
Trulioo returns outcome and evidence fields suited for routing, but case handling depends on how downstream systems ingest evidence and outcomes for consistent manual review.
Selecting a platform without validating operational fit for step-up or re-verification triggers
iDenfy step-up triggers require a verification policy that defines when stronger checks run, and AU10TIX human review queue design can add process overhead if reviewer workflows are not ready.
How We Selected and Ranked These Tools
We evaluated Jumio, Veriff, Persona, Trulioo, SEON, Shufti Pro, IDnow, Socure, iDenfy, and AU10TIX on features and ease of deployment for onboarding decisioning. We weighted features at 40% because configurable decisioning, session orchestration, and evidence-driven outcomes determine how consistently verification results translate into pass, deny, or review routing.
We weighted ease and value at 30% each because workflow configuration effort and API integration clarity affect time to stable production behavior. Jumio ranked highest because its configurable decisioning drives automated acceptance, step-up actions, and review queue assignment, and it pairs that with an API-first onboarding surface and documented session workflows.
Frequently Asked Questions About Digital Identity Verification Software
How do Jumio and Socure differ in API-led decisioning versus risk scoring inputs?
Which vendors support identity verification workflow orchestration across multiple steps in a single integration?
When should teams choose Veriff over Shufti Pro for case review handling of exceptions?
What breaks if document and selfie checks are not tied to the same verification session flow?
How do Veriff and AU10TIX handle automated pass, automated fail, and manual review routing?
Which tool is better for routing borderline cases with rules that return outcome and evidence for automation?
How do governance controls differ between Socure and iDenfy for auditability and reviewer operations?
What integration pattern works best when onboarding flows require consistent decisions across retries and state tracking?
Where does extensibility show up when teams need reusable onboarding flows and step-up triggers?
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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