Dynamic Machine Learning Platform

Maximize your revenue recovery

We offer a proven, compliant, and trustworthy machine learning platform and suite of optimization models built specifically for revenue recovery.

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If you are in the collection space and you’re not trying to come up with some sort of ML/AI strategy, you are dead in the water.”

- Alex Reed, COO of CBE Companies

I see Attunely evolving into kind of the central nervous system of the business itself.“

- Steven Fuernstahl, President of Stoneleigh Recovery Associates

From a KPI standpoint, Attunely is a resounding success! Most importantly to me, we had roughly the same number of RPCs with 25% of the dial attempts.”

- Rick Bonitzer, CEO of Credit Collection Partners

Machine Learning Platform & Suite of Optimization Models

Intelligent consumer outreach

Powered by more than 4 billion de-identified consumer interaction records and counting, Attunely’s machine learning platform and suite of dynamic optimization models recommend the most effective consumer outreach tactics through every phase of the servicing, delinquency, and recovery cycles. Combined with your own de-identified insights on consumer behavior and Attunely’s robust data engine and analytics package, our models are customized to deliver insights that maximize outreach strategies for your unique business. Or select our out-of-the-box Day Zero model for immediate scoring.

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Why Attunely?

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The Largest Behavioral Dataset on Delinquent (De-Identified) Consumers 

  • Unique behavioral interaction data  
  • Extensive coverage of de-identified account records in the US  
  • Extensive asset class coverage  
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Long-Term Partnership Model

  • Regular meetings with the Attunely team for consultation and status updates  
  • 100+ years of collective revenue recovery industry operational experience  
  • Top tier data science expertise​ in the revenue recovery industry
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Custom, Dynamic Models, Using Only De-Identified Consumer Data

  • Platform architected to use only de-identified data—no PII  
  • Leveraging de-identified data insights across agencies and asset classes  
  • Continuous tuning of the models based on your changing objectives and KPIs
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Lower Tax on IT Teams During Data Exchange & Integration

  • Hands on support with Attunely’s Solutions Engineering team  
  • Status code mapping tools with automated data validation and anomaly detection  
  • No change to workflow, SOR, or CRM systems

Customer Video Testimonials

Jeffrey Simendinger 

Co-Founder & Chief Operating Officer, SIMM Associates, Inc.

Rick Bonitzer

President / CEO, PayCourt

Machine Learning Meets Revenue Recovery: A Match Made in Heaven

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Highly Structured Data

Rich source of highly structured de-identified data tagged with specific outcomes

With a Long History

Decades of operating history (lots of examples for ML to learn from)

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Clearly Defined Objectives

Increase RPCs, collect more, send fewer letters, increase NPS, reduce talk time, etc. 

Revenue recovery 

Nuanced financial services expertise is required to effectively set and optimize target objectives

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Frequent Interactions

Phone calls, emails, letters, SMS, payment portal visits, online chats, and more

Strict Parameters

Regulatory and asset-specific requirements set strict
operational boundaries

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Hidden Gems

Dynamic operational precision 

Increased recoveries

Minimized execution risk

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Our ML Approach 

Machine learning is a term we’ve all seen a lot in recent years. It is everywhere, and it might seem like just a buzzword or marketing hype. However, when it is developed and managed by experienced data scientists and revenue recovery industry experts – which is exactly the team we have built here at Attunely – it can be a tremendous advantage. Using only de-identified interaction data, our national macroeconomic and behavioral models analyze your existing database to create new recovery strategies.


Here are the key factors: 

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Data: The More the Better 

Machine learning lives on data. The more data the models consume, the smarter they get. That includes your own de-identified data, coupled with Attunely’s proprietary de-identified consumer dataset, which is the revenue recovery industry’s largest. 

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Target Objective

Machine learning lives on data. The more data the models consume, the smarter they get. That includes your own de-identified data, coupled with Attunely’s proprietary de-identified consumer dataset, which is the revenue recovery industry’s largest. 

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Distance Metrics & Clusters

Machine learning lives on data. The more data the models consume, the smarter they get. That includes your own de-identified data, coupled with Attunely’s proprietary de-identified consumer dataset, which is the revenue recovery industry’s largest. 

Case Study

PayCourt Taps Attunely’s Machine Learning to Drive Increased Recoveries

A national leader in serving the unique revenue recovery needs of government clients, PayCourt partnered with Attunely to stand up a recovery solution that moved beyond static collection scores to better reflect consumer behavior and intent.

View Case Study
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Case Study

Harris & Harris Improves Collections with Dynamic ML Scoring & Segmentation

Harris & Harris is a longtime leader in healthcare recovery. Together, we set out to uncover hidden pockets of value and enhance their ability to apply finer-grained strategies to unique segments of accounts, while also scoring accounts with thin or non-existent credit files, something their incumbent score was unable to do.

View Case Study
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How It Works

Data Exchange & Integration

Consultative ETL process to upload your historical de-identified data into a secure, custom, cloud-based Attunely server instance. We form a deep understanding of each account using your internal status and outcome codes, then map them to events in the Attunely platform. With a live data feed, your custom machine learning model can monitor and respond dynamically to daily shifts in consumer interactions.

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Data Analytics & Insights

Use the Attunely platform to filter and prioritize accounts, run custom queries, build reporting dashboards, and create account segments. Consult with Attunely’s domain experts to surface unique operational insights and build custom account segments. Export them as work queues or merge the Attunely scores back into your system of record where they can be used as part of your normal operational workflow.

Model Deployment & Tuning

We build and tune a series of custom, proprietary machine learning models to match the unique needs of your portfolios and accounts. Different types of debts call for different machine learning models. Each de-identified account is individually analyzed against our global de-identified dataset and scored across dozens of dimensions.

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Join Us

Interested in joining a team of ML pioneers?  We want to hear from you!  

Careers