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Marble Case Manager vs Quantexa Entity Resolution

Marble Case Manager

checkmarble.com

Quantexa Entity Resolution

quantexa.com

Side by side

FigureMarble Case ManagerQuantexa Entity Resolution
Price fromFree—
Free planYes—
Free trial——
Open source——
WebYesYes
APIYesYes
Self-hostedYesYes
Plans published30
Spec score · Financial Crime Compliance Software7.9 (#5)7.2 (#18)
Spec score · Fraud Detection Software7.8 (#11)7.2 (#21)
DeploymentThe investigation page describes SaaS or on-premise deployment, including multi-tenant self-hosted and multi-instance options.The product can be deployed on-premises or in a preferred cloud, and the company FAQ also describes cloud, hybrid and on-premises deployment options.
HeadquartersParis, FranceLondon, United Kingdom
Intended usersMarble describes its platform as designed for banks, fintechs, crypto exchanges, and companies moving money as a core business.Quantexa says the platform is used by enterprises and government agencies and is trusted by banks, insurers, telecoms, healthcare providers and government agencies.
PurposeMarble Case Manager replaces fragmented tools, spreadsheets, and manual processes with an AI-powered case management product for fraud and AML investigations.Entity Resolution connects disparate and ambiguous data to create 360° views of people, organizations and places.
SecurityMarble says user data is encrypted in transit and at rest with AES 256 and that it is SOC 2 compliant.The product supports fine-grained security and can tailor responses to different use cases and security access rights.

Plans

Marble Case Manager

  • FreeFree
  • StartPriced on request
  • EnterprisePriced on request

Marble Case Manager pricing →

Quantexa Entity Resolution

No plans published.

Quantexa Entity Resolution pricing →

In their own words

Marble Case Manager

Marble Case Manager has no write-up on Specifiction yet; its figures are above.

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Quantexa Entity Resolution

Quantexa Entity Resolution links ambiguous records across people, organizations and places to build fuller profiles. Its machine-learning models match data incrementally, using available information and, where useful, context from third-party data. Machine learning and natural-language processing prepare structured and unstructured data through cleansing, parsing, transliteration and synonym handling, with models tuned for each country. Low-code, schema-less ingestion automates data mapping and handles complex nested data. The product supports batch matching and real-time resolution at request time, including household and organization matching. Quantexa says it can scale to tens of billions of records and reports 99% matching accuracy. It can be deployed on premises or in a preferred cloud, and connects with analytics environments, data lakes and warehouses through APIs and libraries. Identified uses include financial crime, anti-money laundering, customer intelligence and fraud. Fine-grained security can tailor responses to use cases and access rights. The web, API and self-hosted product is paid, with pricing on request.

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