DataVisor Vera and Vera Code vs CLEAR Investigate
Quick answer
DataVisor Vera and Vera Code (agentic AI for fraud and AML strategy, tuning, alert summaries and SAR drafting) (DataVisor (DataVisor, Inc.)) and CLEAR Investigate (agentic AI investigations for government, risk and fraud teams) (Thomson Reuters) are both listed in the Risk category of Agent Index.
They share no framework tags in our dataset.
This is not a ranking.
DataVisor Vera and Vera Code (agentic AI for fraud and AML strategy, tuning, alert summaries and SAR drafting) (DataVisor (DataVisor, Inc.)) and CLEAR Investigate (agentic AI investigations for government, risk and fraud teams) (Thomson Reuters) are both listed in the Risk category of Agent Index. They share no framework tags in our dataset. Only CLEAR Investigate (agentic AI investigations for government, risk and fraud teams) is tagged for TX-RAMP.
| Field |  DataVisor Vera and Vera Code (agentic AI for fraud and AML strategy, tuning, alert summaries and SAR drafting) | |
|---|---|---|
| Vendor | DataVisor (DataVisor, Inc.) | Thomson Reuters |
| HQ | United States · North America | Canada · North America |
| Primary category | Risk | Risk |
| Also listed in | Risk, Compliance | Risk, Compliance |
| Summary | AI teammate for fraud and AML teams on the DataVisor platform. From a plain-language request, Vera orchestrates agents that author detection rules, features and lists, tune strategies against production telemetry, summarise alerts and draft FinCEN-aligned SAR narratives; changes are proposal-only and a human approves before anything reaches production. Vera Code turns requirements into tested, documented configurations. | Agentic investigation tool built on Thomson Reuters CLEAR public-records data. From a plain-language question it plans and runs searches across CLEAR data and the open web, resolves conflicting records and returns concise cited findings with a record of the searches it ran, for AML, fraud, program-integrity and law-enforcement investigators. |
| Frameworks (vendor-stated) | — | TX-RAMP |
| Frameworks (vendor-claimed) | — | FedRAMP (In Process) |
| Capabilities / tasks | fraud detection, aml, alert triage, sar narratives, case investigation | case investigation, aml, fraud detection, government compliance |
| Pricing (as published) | Not published | Not published |
| Pricing model | quote | quote |
| Primary source | https://www.datavisor.com/agentic-ai/vera | https://legal.thomsonreuters.com/en/products/clear-investigate |
| Last checked | 2026-10-21 | 2026-10-18 |
| Official site | https://www.datavisor.com/agentic-ai/vera | https://legal.thomsonreuters.com/en/products/clear-investigate |
FAQ (from this dataset)
What is the difference between DataVisor Vera and Vera Code and CLEAR Investigate?
Both are listed under Risk. Shared tasks: fraud-detection, aml, case-investigation. DataVisor Vera and Vera Code-only tasks: alert-triage, sar-narratives. CLEAR Investigate-only tasks: government-compliance. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
DataVisor Vera and Vera Code (agentic AI for fraud and AML strategy, tuning, alert summaries and SAR drafting): Not published CLEAR Investigate (agentic AI investigations for government, risk and fraud teams): Not published
Where are DataVisor Vera and Vera Code and CLEAR Investigate headquartered?
DataVisor Vera and Vera Code (agentic AI for fraud and AML strategy, tuning, alert summaries and SAR drafting) publishes HQ in United States. CLEAR Investigate (agentic AI investigations for government, risk and fraud teams) publishes HQ in Canada.
Also in this use case
Other verified listings that share a task tag or use-case group with DataVisor Vera and Vera Code (agentic AI for fraud and AML strategy, tuning, alert summaries and SAR drafting) or CLEAR Investigate (agentic AI investigations for government, risk and fraud teams). Open a pair page or the use-case table — this is not a ranking.
- Napier AI Continuum responsible agents (screening alert triage and auto-clearing) — Configurable AI agents in London-based Napier AI's Continuum financial-crime platform. In Client Screening and Transaction Screening, compliance teams build and tailor 'responsible agents' in a no-code sandbox and choose how much autonomy to hand over, from flagging sanctions, PEP and adverse-media matches for review to clearing known patterns automatically before they reach a queue, with every agent action explained and captured in the audit trail. · Napier AI Continuum responsible agents (screening alert triage and auto-clearing) pair comparison
- SOCRadar AI Agents (specialist threat-intelligence, attack-surface, digital-risk and alarm-triage agents) — Roster of specialist agents inside the SOCRadar threat-intelligence platform: customers deploy agents, set each one's skills, scope and access, and green-light sensitive steps. Agents cover threat-actor and ransomware intelligence, detection-rule writing, IoC enrichment, identity/credential exposure, vulnerability analysis, brand and dark-web monitoring, phishing-domain hunting, external attack surface and Shodan recon, and alarm triage that records verdicts and asks before changing an alarm's status.
- Strike48 agentic SecOps platform (pre-built SOC agent team and no-code agent builder over federated logs, cloud or air-gapped on-prem) — Agentic orchestration platform for SOC and IT teams from the company behind the Devo log platform: purpose-built micro agents triage and investigate alerts, analyse phishing, hunt threats, write and tune detections and help with compliance over logs queried in place across SIEMs and data lakes, with configurable human approval and an audit trail; available as SaaS, isolated compute or an air-gapped on-prem appliance.
- Trulioo UBO Discovery Agent (agentic beneficial-ownership research inside KYB) — Agentic AI inside Trulioo's KYB verification workflow from Vancouver-headquartered Trulioo. When registries run out, the UBO Discovery Agent researches filings, disclosures, legal and public records, OSINT and verified third-party databases, reaches registries without API connectivity in real time, reconstructs the beneficial-ownership chain with jurisdiction-specific control logic, cites every finding and reports gaps instead of guessing. · Trulioo UBO Discovery Agent (agentic beneficial-ownership research inside KYB) pair comparison
Use-case comparisons
- AML and transaction-monitoring AI agents — 57 listings (Anti-money-laundering, transaction monitoring and financial-crime investigation)
- US public-sector and FedRAMP AI agents — 25 listings (US government, FedRAMP and public-sector compliance or security operations)
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