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Quantexa Entity Resolution
London, United Kingdom
What it is
Quantexa Entity Resolution links disparate and ambiguous data to build 360-degree views of people, organizations and places. Machine-learning models match data incrementally using available information, with the option to add context from third-party data. Machine-learning and natural-language processing models cleanse, parse, transliterate and handle synonyms in structured and unstructured data, with models trained and tuned for each country. Low-code, schema-less ingestion includes automated mapping and processing of complex nested data. The product supports batch resolution 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 through APIs and libraries to data science and analytics environments, data lakes and warehouses. Use cases include financial crime, anti-money laundering, customer intelligence and fraud. Pricing is on request; the product page offers a demo request but does not state trial terms. Quantexa describes its customers as enterprises and government agencies, including organizations in banking, insurance, telecommunications and healthcare.
For and against
For
- Supports both batch and real-time resolution.
- Offers household and organization matching.
- Deployment options include on-premises and cloud.
- Ingestion includes automated mapping of nested data.
- Integrates through APIs and libraries.
Against
- Pricing is available on request.
- The page offers a demo request but states no trial terms.
- The reported 99% accuracy claim is from Quantexa.
The verdict
Quantexa Entity Resolution combines data preparation, matching and batch or request-time processing, with deployment options for on-premises or cloud environments. Pricing requires a request, and the product page does not state trial terms.
Who it suits
It is aimed at enterprises and government agencies working to connect data about people, organizations or places. Listed use cases include financial crime, anti-money laundering, customer intelligence and fraud.
On the record
- Accuracy claim
- Quantexa reports 99% accuracy for data matching through Entity Resolution.quantexa.com · read 3 Oct 2026
- 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.quantexa.com · read 4 Oct 2026
- 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.quantexa.com · read 4 Oct 2026
- Compliance
- Quantexa’s Trust & Policy Center lists GDPR, ISO/IEC 27001:2022, ISO/IEC 27017:2015 and SOC 2 among its compliance items.trust.quantexa.com · read 3 Oct 2026
- Customer sectors
- Quantexa says it is trusted by banks, insurers, telecommunications companies, healthcare providers and government agencies.quantexa.com · read 4 Oct 2026
- Data preparation
- Low-code, schema-less ingestion provides automated mapping, while machine learning and NLP models cleanse, parse, transliterate and synonymize data.quantexa.com · read 4 Oct 2026
- 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.quantexa.com · read 4 Oct 2026
- 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.quantexa.com · read 3 Oct 2026
- Ingestion
- Low-code, schema-less ingestion includes automated data mapping and processing of complex nested data structures.quantexa.com · read 3 Oct 2026
- 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.quantexa.com · read 3 Oct 2026
- 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.quantexa.com · read 4 Oct 2026
- Pricing and trial
- The product page directs prospective customers to request a demo and does not state a price or trial offer.quantexa.com · read 4 Oct 2026
- Processing modes
- The product supports batch processing and real-time dynamic resolution at request time.quantexa.com · read 4 Oct 2026
- Purpose
- Entity Resolution connects disparate and ambiguous data to create 360° views of people, organizations and places.quantexa.com · read 4 Oct 2026
- Scale
- Quantexa says Entity Resolution scales to tens of billions of records and cites deployments across more than 60 countries.quantexa.com · read 4 Oct 2026
- Security
- The product supports fine-grained security and can tailor responses to different use cases and security access rights.quantexa.com · read 3 Oct 2026
- 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.trust.quantexa.com · read 4 Oct 2026
- 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.quantexa.com · read 3 Oct 2026
