Commissioned Research
Top 10 Best Aml Case Management Software of 2026

GITNUXSOFTWARE REVIEW

Finance Financial Services

Top 10 Best Aml Case Management Software of 2026

Compare aml case management software options for compliance teams, with notes on Napier capabilities and key workflow tradeoffs.

20 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page. This does not influence our reviews. Editorial policy

AML case management software turns alerts into auditable case workflows, so analysts can triage, document decisions, and move findings through escalation with consistent data models and access controls. This comparison helps compliance teams weigh automation depth, integration and API options, and throughput tradeoffs when selecting for transaction monitoring, typology handling, and investigator efficiency.

Napier is the best pick for compliance teams that need governed AML case workflow automation because it standardizes routing and evidence collection across investigation stages so case files stay consistent, while Lucinity fits smaller teams since its investigator-ready evidence vault assembles regulator-ready case narratives with clear queue-based steps.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

Napier

Configurable case workflow orchestration that standardizes routing and evidence collection steps across investigation stages.

Best for: Fits when compliance teams need governed AML case workflow automation and investigator-evidence consistency.

2

Eastnets

Editor pick

Investigator work steps tied to configurable routing rules and evidence tagging to generate regulator-ready case files.

Best for: Fits when compliance teams need queue-driven AML case workflow orchestration with consistent evidence packaging.

3

ComplyAdvantage

Editor pick

Case workflow orchestration that maintains evidence and decision traceability from screening hits to dispositioning.

Best for: Fits when compliance teams need screening-linked investigations with controlled audit trails.

Comparison Table

1
NapierBest overall
enterprise
9.3/10
Overall
2
enterprise
8.8/10
Overall
3
enterprise
8.7/10
Overall
4
enterprise
8.3/10
Overall
5
enterprise
8.1/10
Overall
6
enterprise
7.8/10
Overall
7
enterprise
7.6/10
Overall
8
7.0/10
Overall
9
6.8/10
Overall
10
enterprise
6.5/10
Overall
#1

Napier

enterprise

Intelligent compliance platform combining transaction monitoring and AML case management.

9.3/10
Overall
Features9.3/10
Ease of Use9.5/10
Value9.1/10
Standout feature

Configurable case workflow orchestration that standardizes routing and evidence collection steps across investigation stages.

Napier is built for AML case management where teams need consistent investigation steps across analysts, reviewers, and approvers. Case records support structured investigation progress, evidence collection hooks, and workflow states that map to internal review stages. Integration depth shows up through an automation surface that ties external screening and case artifacts into the same case context. Governance is handled through assignment controls and traceability of case activity for review oversight.

A tradeoff appears in how much workflow configuration teams must complete before the process reflects local policies, because case steps and routing behavior depend on setup choices. Napier fits programs that already run transaction monitoring and want tighter case workflow orchestration with clear reviewer handoffs. It is also a strong fit when evidence arrives from multiple systems and needs consistent tagging so export packages stay coherent during SAR/STR drafting.

Pros
  • +Workflow automation supports repeatable investigation routing
  • +Case file structure keeps evidence organized across review stages
  • +Audit trail visibility improves oversight of investigative changes
  • +Evidence tagging helps maintain consistent context for exports
Cons
  • –Workflow logic requires more configuration to match local policies
  • –Advanced automation depends on integration setup for full context
Use scenarios
  • AML operations leads

    Route alerts through reviewer handoffs

    Fewer missed review steps

  • Investigations analysts

    Maintain evidence context during review

    Faster case completion

Show 2 more scenarios
  • Compliance governance teams

    Track changes for audit review

    Clear accountability by case

    Preserves an audit trail of case actions and evidence updates for governance and supervisory checks.

  • Financial institutions with integrations

    Unify external screening outputs

    More consistent investigations

    Connects external findings into case context so investigative steps reference the same entities.

Best for: Fits when compliance teams need governed AML case workflow automation and investigator-evidence consistency.

#2

Eastnets

enterprise

Compliance and payments solutions offering AML screening and case management.

8.8/10
Overall
Features8.8/10
Ease of Use8.8/10
Value8.8/10
Standout feature

Investigator work steps tied to configurable routing rules and evidence tagging to generate regulator-ready case files.

Eastnets supports AML case management centered on investigator work steps, with case assignment queues that control throughput across alert investigations.

Case files are assembled from ingested documents with evidence tagging so investigators can keep audit trail continuity during dispositioning.

Automation rules drive routing and task progression so teams handle alert investigation in a consistent, repeatable sequence.

Pros
  • +Configurable case workflow steps with queue-based assignment and routing
  • +Evidence tagging and document ingestion to keep regulator-ready case files coherent
  • +Automation rules reduce manual handoffs during alert investigation
  • +Integration surface supports wiring monitoring outputs into case context
Cons
  • –Workflow configuration can require governance discipline to avoid routing drift
  • –Depth of dispositioning customization is narrower than generalist case platforms
  • –Extensibility options rely more on predefined workflow patterns than open modeling
  • –Higher effort to standardize evidence chain-of-custody across teams
Use scenarios
  • AML investigator teams

    Investigate alerts with evidence tagging

    Traceable case disposition decisions

  • Financial crime operations

    Throttle case throughput with queues

    Controlled investigation capacity

Show 1 more scenario
  • Compliance program managers

    Route cases via automation rules

    Repeatable investigation sequence

    Automation rules route alerts and drive task progression to keep outcomes consistent with SOPs.

Best for: Fits when compliance teams need queue-driven AML case workflow orchestration with consistent evidence packaging.

#3

ComplyAdvantage

enterprise

AI-driven financial crime data and screening platform with AML case management modules.

8.7/10
Overall
Features8.7/10
Ease of Use8.8/10
Value8.6/10
Standout feature

Case workflow orchestration that maintains evidence and decision traceability from screening hits to dispositioning.

ComplyAdvantage connects sanctions, PEP, and watchlist screening outputs to investigations with case workflow tooling built for compliance teams. The product focuses on alert investigation, evidence handling, and regulator-ready case file assembly so investigations stay traceable from screening results to dispositioning.

Integrations center on pulling screening and entity data into case workflows, then exporting artifacts for regulatory reporting workflows. Governance controls support role-based access and audit traceability across case actions.

Pros
  • +Investigation workflow keeps screening findings linked to case actions
  • +Evidence handling supports tagging and audit-traceable case history
  • +Watchlist reconciliation and entity resolution inputs reduce investigator churn
  • +Export-oriented outputs fit regulatory reporting document workflows
Cons
  • –Deeper workflow configuration can require disciplined admin ownership
  • –Some investigative automation depends on how alerts and evidence are ingested
Use scenarios
  • Sanctions compliance analysts

    Investigate alias-linked watchlist matches

    Consistent match identification and review

  • Payments and monitoring teams

    Triage transaction alerts into investigations

    Structured alert investigation handling

Show 2 more scenarios
  • Financial crime investigators

    Document adverse media investigation decisions

    Traceable decisions from evidence

    Organize adverse media signals and source evidence into regulator-ready case files for customer reviews.

  • Regulatory intelligence teams

    Link guidance changes to entity actions

    More traceable response workflows

    Connect source-linked regulatory changes to entity risk and screening outcomes for traceable compliance responses.

Best for: Fits when compliance teams need screening-linked investigations with controlled audit trails.

#4

ThetaRay

enterprise

AI-based transaction monitoring and AML case management for correspondent banking and fintechs.

8.3/10
Overall
Features8.3/10
Ease of Use8.3/10
Value8.3/10
Standout feature

Explainable behavioral pattern outputs that become cited evidence inside AML case files.

ThetaRay is a fit for teams that need investigation workflows driven by model outputs rather than manual triage spreadsheets. Case work can be structured with assignment queues, evidence tagging, and traceable decision history so case files stay consistent across analysts and reviewers. Evidence handling supports document ingestion and organized case artifacts so investigators can build a narrative with cited signals instead of rebuilding context.

Pros
  • +Explainable analytics attach ranked behavioral signals to case steps
  • +Evidence tagging and audit trail support consistent reviewer workflows
  • +Entity-first investigation reduces duplicate case effort during triage
  • +Case packaging supports regulator-ready export and structured narratives
Cons
  • –Strong outcomes require careful configuration of entity resolution logic
  • –Case workflows may require analyst playbooks to match model behavior
  • –External source onboarding can be integration-heavy for complex estates
Use scenarios
  • Financial crime operations

    High-volume alert triage and case creation

    Lower duplicate work across queues

  • AML investigators

    Alert investigation and narrative drafting support

    Quicker SAR/STR narrative assembly

Show 2 more scenarios
  • Compliance QA reviewers

    Peer review and audit trail verification

    More consistent review outcomes

    Reviewers see assignment history and evidence selections tied to investigation steps.

  • Enterprise integration teams

    Case data lineage across systems

    Fewer mismatches in evidence

    Integration maps transaction and customer sources into a consistent view used for case workflows.

Best for: Fits when teams need evidence-linked investigation workflows driven by explainable analytics.

#5

Tookitaki

enterprise

AML compliance platform featuring modular case management and typology-based detection.

8.1/10
Overall
Features8.1/10
Ease of Use8.1/10
Value8.1/10
Standout feature

Evidence tagging tied to investigator actions creates a regulator-ready case narrative without rebuilding context.

Tookitaki’s case workflow centers on investigator queues, evidence attachment, and step-by-step task progression so teams can move from alert to disposition with fewer manual handoffs. Its investigation records include activity history suitable for internal audit review and regulator-facing case file compilation. Document ingestion and tagging help keep investigations tied to the specific events that triggered work.

Pros
  • +Investigation workflow keeps evidence and actions tied to case steps
  • +Case assignment queues support multi-analyst throughput management
  • +Document ingestion and evidence tagging reduce manual rework
  • +Configuration supports repeatable investigation patterns
Cons
  • –Advanced automation beyond standard steps can require integration work
  • –Evidence organization needs disciplined tagging to stay consistent
  • –Complex org structures may increase setup and permissions tuning
  • –Cross-system reconciliation quality depends on upstream data feed design
Use scenarios
  • AML operations teams

    High-volume alert investigation queues

    Faster disposition decisions

  • Financial crime compliance managers

    Multi-analyst case assignments

    More predictable workload

Show 2 more scenarios
  • Compliance reporting teams

    SAR and STR style drafting

    Cleaner regulator submissions

    Structured case documents compile investigation content and evidence into consistent report formats.

  • Risk and KYC governance teams

    Document-backed case reviews

    Better audit traceability

    Document ingestion and tagging help link review artifacts to specific investigation stages and outcomes.

Best for: Fits when compliance teams need evidence-centric case workflows and consistent investigation accountability across analysts.

#6

Quantexa

enterprise

Contextual decision intelligence platform providing network analytics for AML investigations.

7.8/10
Overall
Features7.8/10
Ease of Use7.8/10
Value7.8/10
Standout feature

Entity resolution and decisioning context that automatically shapes case scope, routing, and investigator evidence needs.

Quantexa is an AML case management vendor that focuses on entity resolution and decisioning around investigations, not just ticketing. Core capabilities include case workflow orchestration, rule-driven triage, and evidence management designed to produce regulator-ready case files for investigators.

Pros
  • +Strong entity resolution foundation that feeds case context for AML investigations
  • +Configurable case workflow orchestration with triage rules and investigator routing
  • +Evidence vault support for attaching documents and maintaining an audit trail
  • +API and integration surface designed to move resolved entities and case actions
Cons
  • –Best results depend on data readiness and governance for entity and case definitions
  • –Complex configurations can slow time-to-first-case for small operations
  • –Some dispositioning and reporting steps may require integration to existing SAR processes
  • –Investigator experience relies on properly maintained evidence tagging and metadata
Use scenarios
  • AML operations teams

    Connect alerts to entity context

    Clearer entity-informed triage

  • AML investigators

    Review alerts with linked records

    More contextual alert reviews

Show 2 more scenarios
  • AML reporting teams

    Prepare SAR-ready case documentation

    Structured reporting preparation

    Suspicious activity reporting organizes evidence and narrative inputs for reporting workflows.

  • Regulatory compliance teams

    Assemble regulator review evidence packs

    Organized investigation packs

    Regulatory evidence preparation bundles entity-linked facts, evidence, decisions, and case history for review.

Best for: Fits when teams need entity-first AML case management with configurable triage and audit-ready evidence.

#7

Actico

enterprise

Digital decisioning platform providing AML transaction monitoring and case management workflows.

7.6/10
Overall
Features7.6/10
Ease of Use7.6/10
Value7.6/10
Standout feature

Case workflow orchestration with rule-driven status transitions tied to evidence and task assignment within a single investigation record.

Actico targets AML case management with a workflow layer for assigning, documenting, and driving alert investigation tasks across compliance teams. The system supports evidence collection and case file organization so investigators can attach artifacts, reference decision inputs, and keep a consistent audit trail from intake through disposition.

Pros
  • +Configurable case workflow automation for triage, routing, and investigator task queues
  • +Evidence vault style attachment model for regulator-ready case file organization
  • +Audit trail coverage across case actions and documentation updates
  • +RBAC-based access control that supports separation of duties across roles
Cons
  • –Workflow configuration effort rises quickly for complex dispositioning branches
  • –API and integration surfaces are less detailed for bidirectional investigation data syncing
  • –Document ingestion coverage is stronger for attachments than for structured KYC event normalization
  • –High-volume alert investigation throughput depends on careful queue and rule tuning
Use scenarios
  • Operations and process design teams

    Route cases based on conditions

    Consistent routing and outcomes

  • Compliance and governance teams

    Execute governed policy logic

    Traceable policy execution

Show 2 more scenarios
  • Rule owners and release managers

    Deploy validated rule changes

    Controlled rule-to-runtime path

    Governed rule releases manage validation, versioning, and controlled deployment of business logic into runtime.

  • Operations and policy teams

    Determine eligibility for cases

    Repeatable eligibility outcomes

    Eligibility determination applies business rules to decide whether customers or cases meet defined criteria.

Best for: Fits when compliance teams need configurable AML case workflows with evidence organization and audit trail discipline.

#8

Lucinity

SMB

Human intelligence AML platform offering actor-based case management and workflow automation.

7.0/10
Overall
Features7.0/10
Ease of Use7.0/10
Value7.0/10
Standout feature

Investigator-ready evidence vault tied directly to case steps for regulator-ready case file assembly.

Lucinity centers AML case management on investigator workflow orchestration, evidence handling, and audit trail capture for alert investigation to dispositioning. The workflow design emphasizes configurable case steps, assignment queues, and standards-based regulatory export readiness.

Pros
  • +Configurable case workflow orchestration with assignment and queue routing
  • +Evidence vault support for investigator access to documents and artifacts
  • +Audit trail coverage aligned to regulator-ready case file assembly
  • +Automation rules reduce manual handoffs during alert investigation
Cons
  • –Complex governance setup is required for consistent RBAC and ownership
  • –Integrations rely on specific connector or API implementation choices
Use scenarios
  • AML reporting teams

    Prepare SAR inputs with dispositions

    Better-connected reporting decisions

  • AML investigators

    Capture evidence with traceable actions

    Traceable investigation records

Show 2 more scenarios
  • AML supervisors

    Oversee case stages and escalations

    More consistent supervision

    Investigation supervision tracks ownership, escalation, and standardized outcomes across investigation teams.

  • Transaction monitoring teams

    Triage alerts using risk context

    Consistent prioritization

    Transaction alert triage uses configurable detection logic alongside risk context to prioritize and dispose alerts.

Best for: Fits when compliance teams need configurable AML case workflows with regulator-ready audit trails.

#9

Trapets

SMB

AML compliance software providing transaction monitoring and case management for regulated entities.

6.8/10
Overall
Features6.8/10
Ease of Use6.8/10
Value6.8/10
Standout feature

Regulator-ready case package generation that bundles case actions, evidence, and disposition artifacts into a single exportable file set.

Trapets supports AML case workflow orchestration from alert intake through evidence collection and disposition steps. It emphasizes configurable task routing, case assignment queues, and investigator views built around narrative and document handling.

Pros
  • +Configurable case workflow steps with queue-based assignment for investigation throughput
  • +Audit trail coverage tied to case actions and evidence edits
  • +Evidence collection workflow supports structured document handling and tagging
  • +Case package export supports regulator-ready handoff for completed investigations
Cons
  • –Advanced configuration needs governance to keep investigators on the same process
  • –API automation depth is less visible than workflow configuration in typical rollouts
Use scenarios
  • AML investigators

    Triage monitoring alerts into cases

    Traceable alert-to-disposition workflow

  • Regulatory reporting teams

    Assemble SAR narrative inputs

    Structured reporting inputs

Show 2 more scenarios
  • Watchlist review teams

    Maintain repeatable list review processes

    Repeatable list update handling

    Maintain watchlist review processes by connecting hit outcomes to list state used during review.

  • Sanctions and PEP analysts

    Review matches from screening workflows

    Documented match decisions

    Screen sanctions and PEP lists by documenting match decisions and linking escalation paths.

Best for: Fits when mid-size compliance teams need configurable investigation workflows, evidence handling, and exportable case files.

#10

Verafin

enterprise

Cloud-based financial crime management platform specializing in AML, fraud, and sanctions compliance.

6.5/10
Overall
Features6.5/10
Ease of Use6.5/10
Value6.5/10
Standout feature

Queue-based alert investigation orchestration that links investigative tasks to regulator-ready case file evidence and disposition stages.

Verafin runs alert investigation and AML case management workflows designed around financial crime investigation lifecycle needs. The system links transaction monitoring alerts to investigative tasks, evidence collection, and dispositioning workflows for regulator-facing case files.

Pros
  • +Investigation workflow tracks alerts through assignment, evidence, and disposition steps
  • +Evidence handling supports building regulator-ready case files with tagged materials
  • +Case routing uses configurable queues and triage rules to manage analyst throughput
  • +Audit trail coverage supports traceability across investigator actions and case changes
Cons
  • –Case model customization requires governance discipline to keep triage logic consistent
  • –Deep integration with core banking and CRM depends on connector availability and data readiness
  • –Complex evidence capture can increase investigator workload when case files grow
  • –Automation breadth across nonstandard investigative steps may need custom configuration
Use scenarios
  • AML investigators

    Organize alert cases with evidence

    Documented investigation rationale

  • AML operations teams

    Prioritize alerts using enriched context

    More consistent triage

Show 2 more scenarios
  • Compliance supervisors

    Standardize queues and escalation paths

    Consistent handling across teams

    Standardize investigator operations by applying queues, case stages, escalations, and disposition rules across teams.

  • Financial intelligence teams

    Review linked entities and activity

    Better visibility into related activity

    Review linked entities and activity by investigating relationships across customers, accounts, and cases.

Best for: Fits when financial crime teams need governed alert investigation workflows with evidence tagging for regulator-ready case files.

Conclusion

After evaluating 10 aml case management software, Napier 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.

Our Top Pick
Napier

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

Frequently Asked Questions About Aml Case Management Software

How do Napier and Actico differ in case workflow orchestration from alert intake to regulator-ready case files?
Napier routes and orchestrates AML case workflows from alert intake to regulator-ready case files with reusable case logic across programs. Actico drives alert investigation tasks and evidence collection through a workflow layer that ties rule-driven status transitions to evidence and task assignment inside a single investigation record.
Which tools provide explainable outputs that become citable evidence inside AML case files?
ThetaRay generates explainable transaction analytics that rank leads and attach behavior signals to specific investigation steps. That output is then carried into the case assembly so investigators can cite the same signals during SAR/STR drafting.
How does evidence tagging affect regulator-ready case packaging in Eastnets and Tookitaki?
Eastnets ties investigator work steps to configurable routing rules and evidence tagging to generate regulator-ready case files. Tookitaki uses evidence tagging tied to investigator actions so the narrative stays consistent across analyst review trails without reconstructing missing context.
When should teams choose queue-driven orchestration in Verafin over evidence vault workflows in Lucinity?
Verafin fits teams that need queue-based alert investigation orchestration that links investigative tasks to evidence tagging and disposition stages for regulator-facing case files. Lucinity fits teams that want an investigator-ready evidence vault where case steps and evidence capture are structured around regulatory export readiness.
What breaks if SSO and access controls are weak in AML case management workflows?
When access control and audit log coverage are thin, ComplyAdvantage can still move screening hits into case workflows, but governance gaps risk incomplete traceability from screening results to dispositioning. Napier and Lucinity both rely on governed investigator actions and audit trail visibility to keep case histories regulator-ready.
How do integrations and API-driven extensions change how Quantexa and ComplyAdvantage push case context downstream?
Quantexa uses API-driven extensibility to push resolved entities, case context, and dispositions into downstream systems while shaping case scope and routing. ComplyAdvantage focuses on pulling screening and entity data into case workflows, then exporting artifacts for regulatory reporting workflows with audit traceability.
How should data migration be handled when moving existing evidence and case histories into an AML case management platform?
Tookitaki expects evidence-centric workflows that preserve structured case documents and analyst review trails, so migration needs consistent mapping of artifacts to investigator actions. Lucinity centers the evidence vault around case steps, so migration must maintain evidence tagging alignment with each configured step to keep regulatory exports coherent.
What tradeoff appears when a platform emphasizes dispositioning exports over narrative assembly inside the same record?
Trapets emphasizes regulator-ready case package generation that bundles case actions, evidence, and disposition artifacts into exportable file sets. That export-centric model can shift effort toward packaging discipline, while tools like Actico embed rule-driven status transitions that keep narrative and workflow states tied within a single investigation record.
Where does ComplyAdvantage fall short compared with Quantexa for entity-first workflows?
ComplyAdvantage connects sanctions, PEP, and watchlist screening outputs to investigation workflows and keeps evidence and decision traceability from screening hits to dispositioning. Quantexa shapes case scope and routing from entity resolution and decisioning context, so entity-first triage is a primary workflow driver rather than a post-screening attachment.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

How to Choose the Right Aml Case Management Software

We see the biggest differences in this aml case management software space around how cases move and how systems talk to each other. When you compare Automation and API surface, Data model, Audit log, and RBAC, you can predict whether investigations stay consistent as volume and teams grow.

Automation and workflow rules

Why it matters

Automation and workflow rules cut the time spent on repetitive routing and status handling. They also reduce inconsistencies when multiple investigators work the same aml case management workload.

How to check

Ask for a live walkthrough of a case moving through statuses with rule-based triggers. Then request a sample configuration screen showing what conditions change assignments or due dates without manual clicks.

Case data model and schema flexibility

Why it matters

A clear case data model controls how evidence, roles, and outcomes fit together across the investigation lifecycle. Schema flexibility matters when your typologies and internal categories evolve.

How to check

Request to see how the product models a case: fields, custom attributes, and how those appear in the case view and export. Ask whether you can add a new field and have it flow through assignment, templates, and reports without code changes.

Audit log for case activity

Why it matters

Audit log coverage is what lets you defend key actions during review cycles. In aml case management, gaps in auditability create friction during internal quality checks.

How to check

On a demo record, have them show the activity timeline for key actions like edits, reassignment, and status changes. Ask whether it logs before/after values and the actor identity for every update.

RBAC and team governance controls

Why it matters

RBAC and team governance controls protect investigators from seeing or editing the wrong materials. They also let you separate duties between intake, investigation, and review roles.

How to check

Ask to see role setup with permissions like view-only, edit, approve, and assign. Then test by switching accounts in the demo to verify what each role can access inside a case and what actions they can perform.

API and data exchange depth

Why it matters

A strong automation and API surface reduces manual copying between systems that feed or consume aml case management work. The right integration depth keeps cases aligned with upstream event sources.

How to check

Ask which objects the API can read/write (cases, participants, notes, evidence metadata, status). Then request a sample sync scenario: push a new case trigger in, update status out, and show how failures are handled.

Red flags

  • Workflow automation is mostly manual steps and custom spreadsheets
  • Case data model changes break exports or require rework after setup
  • Audit log misses who changed what during reassignment or edits

Fit by situation

  • If you rely on rule-driven routing and want fewer handoffs, prioritize Automation and workflow rules.
  • If your teams need to adapt case fields as investigations evolve, prioritize Case data model and schema flexibility.
  • If you expect frequent internal reviews and rework, prioritize Audit log for case activity.
Commissioned Research

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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