Salv vs Unit21 (2026)
The decision here is how much of the alert queue an anti money laundering platform should let AI work on its own. Salv's answer is almost none. Screening, transaction monitoring and customer risk scoring run on rules the institution writes and tunes, clearance rules close alerts only on conditions it sets, and the one AI feature reviews a name match and explains its reasoning without ever closing an alert. Unit21's answer is as much as the institution allows. Its agents gather evidence, draft narratives and recommend dispositions on a four level ladder that ends with clear, low risk alerts closing automatically inside configured guardrails, set separately for each queue and risk tier, while an analyst still signs off every suspicious activity report before it is filed. Both let a team test rules on history before they go live. Unit21 adds scale in the United States, where 5 percent of suspicious activity reports are filed through it; Salv adds Salv Bridge, which links 110 institutions on cross bank fraud and sanctions cases. Neither publishes fairness testing of its name matching.
- Supervisors expect a person behind every alert decision. Salv's AI Powered Insights explains a name match and stops there, and a clearance rule closes an alert only on conditions the institution writes, with that rule shown against the cleared alert.
- Fraud losses move between banks faster than one team can trace them. Salv Bridge lets financial crime teams at 110 member institutions send structured requests answered by a person and screen new customers against a shared pool.
- Customer data has to stay in the European Union. Salv keeps client personal data on Amazon Web Services in Frankfurt and also deploys in private cloud or on premises.
- Compliance analysts want to own their detection logic. Rules, thresholds and segments are configured by the institution, and each rule keeps draft, current and archived versions to show which one was in force on a given date.
- Alert volume is growing faster than the analyst team. Unit21's agents can move from recommending a disposition to closing clear, low risk alerts on their own, one queue and risk tier at a time, and they escalate when confidence is low.
- Report writing eats investigator hours. Unit21's agents pre populate most suspicious activity report fields and substantially all currency transaction report fields from case evidence, and nothing is filed without an analyst's approval.
- Fraud and anti money laundering teams still run separate systems. Unit21 puts real time fraud monitoring, device intelligence, payment and sanctions screening, case management and regulatory filing on one connected data model.
- A sponsor bank oversees a portfolio of fintech programs. Unit21 centralizes monitoring, investigations and reporting across them, with rules tailored to each fintech's products and customers.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Salv and Unit21 are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI FinTech Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Salv | Unit21 | |
|---|---|---|
| Primary category | AML, KYC & Financial Crime | AML, KYC & Financial Crime |
| Founded | Not published | Not published |
| Headquarters | Tallinn, Estonia | San Francisco, California, United States |
| Website | salv.com | www.unit21.ai |
Side by Side
Select any grade to read the note behind it.
| Axis | S Salv |
U Unit21 |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model Risk Management and Transparency | ||
| Operational and Outcome Evidence | ||
| AI Safety and Data Stewardship | ||
| GLBA and Data Privacy Posture | ||
| Security Certifications and Trust Center | ||
| Regulatory Status and Licensure | ||
| AI Governance and Bias Disclosure | ||
| AI Liability and Recourse | ||
| Model Supply Chain Disclosure | ||
| Core Systems and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Institution and Segment Coverage |
The short version of each
Salv
Salv sells anti money laundering and fraud software to banks, fintechs and payment service providers, with more than 130 institutions across 30 jurisdictions. Screening against Dow Jones lists, transaction monitoring, weighted customer risk scoring and case management share one platform hosted on Amazon Web Services in Frankfurt, with private cloud and on premises options. Rules keep draft, current and archived versions, and any scenario version can be run against a year of history. In the AI FinTech Index, keeping AI out of alert closure reads as a deliberate control rather than a missing feature.
Source: AI FinTech Index, 2026
Unit21
Unit21 sells one fraud and anti money laundering platform to fintechs, sponsor banks, credit unions, payment firms and crypto businesses. Core detection runs in under 150 milliseconds across Automated Clearing House transfers, wires, real time payments, cards and crypto, and a fraud consortium pools anonymized signal covering more than 80 million adults in the United States. Its agents triage alerts, assemble evidence and pre populate most suspicious activity report fields, working on a self service rules engine rather than machine learning risk scores. Nexo reports 93 percent fewer false positives in production.
Source: AI FinTech Index, 2026
Common questions
Will either platform close an alert without a person?
Salv's AI never does. AI Powered Insights is informational only, and alerts close automatically only through clearance rules the institution writes. Unit21's agents can at the top of a four level ladder the institution sets per queue: clear, low risk dispositions close inside configured guardrails, while exceptions and quality sampling stay with people. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified October 13, 2026. No vendor pays for placement.
Does either one train AI on our data?
Unit21 says it does not train models on customer data, and its consortium pools anonymized, aggregated signal rather than raw records. Salv does not state whether client data or alert decisions train AI Powered Insights, while Salv Bridge shares intelligence between member institutions by design, inside rules each network agrees. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified October 13, 2026. No vendor pays for placement.
Which one carries an independent security report?
Both do. Salv's SOC 2 Type 2 report comes from Thoropass Assurance and its ISO/IEC 27001:2022 certificate from KPMG IT Certification, shared during a request for proposal. Unit21's SOC 2 Type I and Type II attestation comes from Armanino, with penetration testing by Doyensec and Cobalt. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified October 13, 2026. No vendor pays for placement.
What does neither platform publish?
Fairness and price. Neither publishes false positive rates by name origin, script or customer segment, which is where uneven screening outcomes would show, and neither prints a price or tier for its platform. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified October 13, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Fraud Detection & Transaction Risk page.
Unit21's 93 percent and 5 percent figures come from its own customer stories and product material, which it describes as customer reported. Salv's institution and network counts are its own.