Unlike legacy platforms and generic vendors, we combine deep industry expertise with adaptable solutions powered by artificial intelligence — reenvisioning workflows to unlock revenue, reduce friction, and deliver faster results.
Identify and resolve rebate overpayments
Adjudicate rebates with real-time formulary data and precise validation
Detect exceptions before they erode margins
Monitor contract health with customizable dashboards
Audit terms to flag risk & underperformance
Generate insights to improve negotiations
Produce Gross To Net (GTN) forecasts to support accruals
Predict revenue trends with real-time data
Segment and analyze payer/channel mix
Centralize fragmented data sources with the ability to parse unstructured formats
Deliver intuitive tools over static spreadsheets
Enable teams with instant visibility
Enable launch-stage Gross To Net (GTN) and pricing analysis
Simulate payer exposure scenarios
Build infrastructure that evolves with the business
Leakage dollars identified at increasingly higher levels
Significantly fewer hours spent on rebate adjudication
Despite growing complexity, most teams still depend on spreadsheets and legacy systems that are slow, opaque, and difficult to scale. Modern technologies like machine learning, natural language processing, and advanced optimization are still underused, even though they offer the speed, accuracy, and adaptability today’s dynamic market requires.
| Level | Duplicate Identification | Anomaly Detection | Business Logic Engine | External Data Feed Smart Integration | Formulary Parsing | Policy Parsing | |
|---|---|---|---|---|---|---|---|
|
3
 |
Column Clusters + Net Debit/Credit Identification | Column Clusters | Advanced | Y | Parsing and Data Sync for Updates | Y | |
|
Solution Typical |
2 External Data |
Historical Claims | Simple | Simple | Partial | N | N |
| 1 Baseline |
Single Column | N | Simple | N | N | N |
Recover millions by addressing misaligned rebates and manual, outdated adjudication methodologies.
Gain visibility into contract terms and value drivers — knowing what to adjust and where to optimize.
Forecasting, segmentation, and scenario planning become more accurate, enabling better financial decisions.
With intuitive solutions and real-time insights, teams spend less time wrangling spreadsheets and more time taking action.
Fuse deep expertise with AI-powered technology to capture, protect, and grow revenue in the face of commercial and regulatory complexities.
Formulary Parsing (Language Model)
Scrapes and catalogs formulary drugs, tiers, conditions, and plan design metadata.
Rebate Adjudication (Machine Learning)
Identifies duplicates, anomalies, and generates predictions for root cause of rebate adjudication failure.
Contract Parsing (Language Model)
Converts raw text and tables to structured data capable of understanding legal and domain specific language nuances.
Policy Document Parsing (Language Model)
Catalogs drug-specific clinical and/or medical conditions capable of understanding domain-specific terminology and extracting comparative thresholds.
Manual formulary parsing and validation was both labor-intensive and prone to error—overlooking up to 25% of ineligible claims
Operations and sales teams respond 3x faster with visibility into root causes of leakage
“The AI-driven approach helped us uncover systemic inefficiencies that had been costing us millions. The clarity and control we’ve gained are game-changers.”
— Senior Director, Pricing & Contracting
Aaron Levy has over 20 years of experience helping more than 25 life science clients reduce revenue leakage, ensure compliance, and optimize commercial operations. He is a recognized expert in government pricing, market access operations, and leading revenue management platforms. Aaron has led complex implementations, large-scale transformations, and AI-driven innovation initiatives across the life sciences industry. Outside of work, he’s an avid traveler who has visited nearly 50 countries on 6 continents.
Hiram is a seasoned software and data architect with over 20 years of experience across hedge funds, retail, and restaurant technology. He has successfully led full-stack development and complex systems integration projects, even scaling a restaurant concept from idea to multiple locations. Hiram specializes in applying modern computational frameworks—such as machine learning and language models—to optimize pricing, streamline operations, and drive strategic growth. In addition to his work in technology, he's a musician who plays the violin, guitar, and piano.
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