Welcome to EntityWise
Ai Identity
Matching Service
What We Do
Match as a Service
Superior Data Matching with Advanced Machine Learning
Our Match Service leverages cutting-edge Machine Learning (ML) technology to deliver unmatched accuracy and flexibility in data matching. Here's how our approach stands out from traditional methods and how it can be tailored to meet your specific needs.
What is the problem?
Issues with Unmatched Data Records
Customer Dissatisfaction: Unmatched customer data can result in inconsistent service, safety issues, and poor customer experiences.
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Inaccurate Insights: Unmatched records distort analysis and reporting, leading to misleading insights and poor decision-making.
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Increased Costs: Manual reconciliation of unmatched records demands additional time and resources, increasing operational expenses.
Advantages of
EntityWise Matching Service
Benefits of Our
ML-Powered Match Service
Achieve cleaner, more reliable datasets by accurately identifying and resolving duplicates.​
Informed Decision Making
Trust the insights derived from your data, leading to better business strategies and outcomes.​
Efficient Operations
Reduce the time and resources spent on manual data cleansing, allowing your team to focus on core business activities.​
Competitive Advantage
​Leverage the latest in ML technology to stay ahead of competitors relying on outdated methods.
In summary, our advanced Machine Learning technology provides a superior solution for data matching, offering both accuracy and flexibility. By choosing our service, you can ensure that your data is clean, reliable, and ready to drive meaningful insights for your organization.
Flexible
Matching
Solutions
We understand that different organizations have unique data requirements. That's why we offer multiple ways to match your data, ensuring our service aligns with your specific needs:
Customizable Matching Criteria:
Define the fields and criteria most relevant to your business, such as name, address, email, or phone number. Our service can be tailored to prioritize these elements in the matching process.​
Confidence Scoring:
Our system assigns confidence scores to potential matches, allowing you to review and validate results based on your desired level of certainty.​
Hybrid Matching Approaches:
Combine ML with other matching techniques, such as rule-based logic, to address specific challenges or preferences unique to your organization.
Scalable Solutions:
Whether you need to match 10's of thousands of records or 100's of millions, our service scales to accommodate your data volume without compromising accuracy or speed.
