DataVisor Vera and Vera Code vs Gradient Labs KYB Agent

Quick answer

DataVisor Vera and Vera Code (agentic AI for fraud and AML strategy, tuning, alert summaries and SAR drafting) (DataVisor (DataVisor, Inc.)) and Gradient Labs KYB Agent (business-verification agent for financial services) (Gradient Labs (Gradient Labs Limited)) 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 Gradient Labs KYB Agent (business-verification agent for financial services) (Gradient Labs (Gradient Labs Limited)) are both listed in the Risk category of Agent Index. They share no framework tags in our dataset.

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Field DataVisor Vera and Vera Code (agentic AI for fraud and AML strategy, tuning, alert summaries and SAR drafting)Gradient Labs KYB Agent (business-verification agent for financial services)
Vendor DataVisor (DataVisor, Inc.)Gradient Labs (Gradient Labs Limited)
HQ United States · North AmericaUnited Kingdom · Europe
Primary category RiskRisk
Also listed in Risk, ComplianceRisk
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.London AI-agent company for financial services whose KYB Agent, in production, checks each business-verification document against the customer's internal policy, requests anything missing from the customer, and verifies the business before routing it to onboarding; it runs alongside Gradient Labs' disputes, lending/collections and customer-service agents.
Frameworks (vendor-stated) ——
Frameworks (vendor-claimed) ——
Capabilities / tasks fraud detection, aml, alert triage, sar narratives, case investigationkyc, process automation
Pricing (as published) Not publishedNot published
Pricing model quotequote
Primary source https://www.datavisor.com/agentic-ai/verahttps://gradient-labs.ai/
Last checked 2026-10-212026-10-20
Official site https://www.datavisor.com/agentic-ai/verahttps://gradient-labs.ai/

FAQ (from this dataset)

What is the difference between DataVisor Vera and Vera Code and Gradient Labs KYB Agent?

Both are listed under Risk. They share no task tags in this dataset. DataVisor Vera and Vera Code-only tasks: fraud-detection, aml, alert-triage, sar-narratives, case-investigation. Gradient Labs KYB Agent-only tasks: kyc, process-automation. 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 Gradient Labs KYB Agent (business-verification agent for financial services): Not published

Where are DataVisor Vera and Vera Code and Gradient Labs KYB Agent headquartered?

DataVisor Vera and Vera Code (agentic AI for fraud and AML strategy, tuning, alert summaries and SAR drafting) publishes HQ in United States. Gradient Labs KYB Agent (business-verification agent for financial services) publishes HQ in United Kingdom.

Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.

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 Gradient Labs KYB Agent (business-verification agent for financial services). Open a pair page or the use-case table — this is not a ranking.

Use-case comparisons

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