Dynamic, innovative, multi-use
Quantexa’s enterprise-grade Entity Resolution delivers unparalleled accuracy by combining an understanding of the real world with advanced machine learning and AI techniques. Quantexa supports multiple use cases and applications from a single platform.
How is Quantexa’s Entity Resolution different?
Accurate and complete data built on four core principles:
Dynamic
Accurate
Transparent
Scalable
Use cases
Create an accurate 360° view of real-world entities in your data
Build a unified view of your data
Uncover real-world entities from multiple disparate data sources using best-in-class entity resolution.
Enhance data quality
Eliminate duplicates and overcome missing or poor quality data, even where data has been intentionally manipulated.
Unlock data-driven decisions
Gain confidence in your data to power strategic and operational decisions across the organization.
Power Graph Analytics
Build richer and more meaningful graphs based on real-world entities and the relationships between them.
THE IMPACT
What we have achieved
data resolution for rapid time to value
of data matching through Entity Resolution
in records through de-deduplication
Product features
Low-code data ingest
Speedier schema-less data onboarding with automated data mapping and the ability to process complex nested data structures such as companies, organizations and other complex entities.
Intelligent data preparation
A collection of ML and NLP models cleanse, parse, transliterate and synonymize data across structured and unstructured data sources. ML models are trained and tuned for each country in the world.
ML-powered data matching
ML-powered out-of-the-box Entity Resolution models designed to overcome data availability and quality issues with no need for pre-resolved training data. ML models are fully transparent, explainable and extensible.
Batch & dynamic modes
Dual architecture that allows you to resolve entities with exceptional performance both as a one-off in batch as well as real-time & dynamically, at the time of request.
Transparent entity quality scoring and tuning
A suite of AI-powered models that can be used to identify over and underlinked entities or tune Entity Resolution configurations.
Open architecture
Deploy on-prem or in your preferred cloud. Integrate with your existing data science and analytics environment, data lakes, warehouses and more via fully supported APIs and libraries.
