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Quantexa Entity Resolution

quantexa.com

WebAPISelf-hosted
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Spec score 7.2 #18 of 57 in Financial Crime Compliance Software

What it is

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.

Spec sheet

Purpose
Entity Resolution connects disparate and ambiguous data to create 360° views of people, organizations and places.Read 4 Oct 2026 · quantexa.com
Intended users
Quantexa says the platform is used by enterprises and government agencies and is trusted by banks, insurers, telecoms, healthcare providers and government agencies.Read 3 Oct 2026 · quantexa.com
Deployment
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.Read 4 Oct 2026 · quantexa.com
Security
The product supports fine-grained security and can tailor responses to different use cases and security access rights.Read 3 Oct 2026 · quantexa.com
Compliance
Quantexa’s Trust & Policy Center lists GDPR, ISO/IEC 27001:2022, ISO/IEC 27017:2015 and SOC 2 among its compliance items.Read 3 Oct 2026 · trust.quantexa.com
Support
Quantexa describes customer support through a dedicated Customer Success team, roadmap sessions, a support desk for break-fix issues, training and its Learning Academy.Read 3 Oct 2026 · quantexa.com
Headquarters
London, United KingdomRead 28 Sep 2026 · quantexa.com
Founded
2016Read 28 Sep 2026 · quantexa.com
Accuracy claim
Quantexa reports 99% accuracy for data matching through Entity Resolution.Read 3 Oct 2026 · quantexa.com
APIs and libraries
Quantexa says the open architecture integrates with existing data science and analytics environments, data lakes and warehouses through supported APIs and libraries.Read 4 Oct 2026 · quantexa.com
Cloud availability
Quantexa’s FAQ says its platform is available as a managed application on Azure Marketplace and that Quantexa is a Google Cloud partner.Read 4 Oct 2026 · quantexa.com
Customer sectors
Quantexa says it is trusted by banks, insurers, telecommunications companies, healthcare providers and government agencies.Read 4 Oct 2026 · quantexa.com
Data preparation
Low-code, schema-less ingestion provides automated mapping, while machine learning and NLP models cleanse, parse, transliterate and synonymize data.Read 4 Oct 2026 · quantexa.com
Deployment and integration
The product can be deployed on premises or in a preferred cloud and integrates with existing data science and analytics environments, data lakes and warehouses through supported APIs and libraries.Read 3 Oct 2026 · quantexa.com
Ingestion
Low-code, schema-less ingestion includes automated data mapping and processing of complex nested data structures.Read 3 Oct 2026 · quantexa.com
Matching
Its machine learning models match data across structured and unstructured sources, including poor-quality or sparse data, and are described as transparent, explainable and extensible.Read 4 Oct 2026 · quantexa.com
Pricing and trial
The product page directs prospective customers to request a demo and does not state a price or trial offer.Read 4 Oct 2026 · quantexa.com
Processing modes
The product supports batch processing and real-time dynamic resolution at request time.Read 4 Oct 2026 · quantexa.com
Scale
Quantexa says Entity Resolution scales to tens of billions of records and cites deployments across more than 60 countries.Read 4 Oct 2026 · quantexa.com
Security and compliance
Quantexa’s Trust & Policy Center lists ISO/IEC 27001:2022, ISO/IEC 27017:2015, SOC 2 and other compliance materials, with some documents requiring access.Read 4 Oct 2026 · trust.quantexa.com
Support and training
Customer services include a Learning Academy, structured training and onboarding, a dedicated Customer Success team and a support desk for break-fix issues.Read 4 Oct 2026 · quantexa.com
Use cases
Quantexa identifies financial crime, anti-money laundering, customer intelligence and fraud among the use cases supported by the platform.Read 4 Oct 2026 · quantexa.com
Uses
Quantexa identifies financial crime, anti-money laundering, customer intelligence and fraud as use cases for the product.Read 3 Oct 2026 · quantexa.com

Strong points and limits

Strong points

  • Supports batch and real-time resolution.
  • Matches households and organizations.
  • Automates mapping of complex nested data.
  • Can deploy on premises or in a preferred cloud.
  • Fine-grained security tailors responses to access rights.

Limits

  • Pricing is available on request.
  • The product page offers a demo request but states no trial terms.

Who it suits

It suits enterprises and government agencies that need to resolve records across large datasets, including organizations in banking, insurance, telecommunications and healthcare. Its batch and real-time modes also suit teams with both scheduled and request-time resolution needs.

Verdict

Quantexa combines record matching, data preparation and flexible deployment for enterprise and government use. Buyers should request pricing and clarify the deployment and access controls needed for their environment.

Where Specifiction places it

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