The Data Developers

IRA Portfolio Exposure Intelligence

Know exactly which drugs face Medicare price negotiation, when, and what revenue is at risk.

7/11 year clocks
Part D + Part B
MFP tracking
Patent cliff joins
Problem solved

The problem this solves

Life sciences teams need decisions faster than public data can be cleaned manually. This solution compresses months of preparation into a governed, query-ready product.

VP-level and director-level teams often know which questions matter, but the required data is spread across incompatible FDA, CMS, NIH, EMA, USPTO, literature, ontology, and identity sources.

IRA Portfolio Exposure Intelligence removes the repeated engineering work by delivering the connected tables, bridge keys, and sample queries that your team would otherwise build from scratch.

What you get

Pre-computed IRA small molecule and biologic eligibility clocks with exclusion flags.

Medicare spend trend, beneficiary exposure, and Maximum Fair Price effective-year tracking.

Patent, exclusivity, and biosimilar/generic competition timeline aligned to revenue risk.

Portfolio-level prioritization for market access, finance, and policy teams.

Sample output

Day-one query results for apixaban

Designed sample output showing the type of redacted table your analysts can query immediately after provisioning.

IRA Portfolio Exposure Intelligence — sample result
SignalValueSource
Canonical entityapixabanDrug spine
Primary risk scoreHigh confidencePre-computed model
Connected products10 productsTDD catalog
Latest refresh2026-09-01Lineage table
Use cases

Built for the teams who own the decision

For Market Access teams

Quantify exposure by brand, molecule, indication, and Medicare channel before CMS selection windows.

For Portfolio strategy teams

Compare IRA risk against patent cliff, exclusivity, and lifecycle-management options.

For Finance leaders

Stress-test revenue scenarios using Part D, Part B, and negotiated MFP tables.

FAQ

Common questions

Procurement, architecture, and analytics teams can evaluate exactly how the product will land in your environment.

Query on day one

Sample SQL included

Does the solution include 2026 and 2027 IRA negotiation context?

Yes. CMS IRA Maximum Fair Price records, selected-drug metadata, payment year fields, and eligibility features are delivered with the solution.

Can we model products not yet selected by CMS?

Yes. Eligibility clocks, spend thresholds, biologic versus small molecule rules, orphan flags, and patent context are pre-computed for candidate products.

Is this a dashboard?

No. The output is a set of governed data products delivered into BigQuery or Snowflake so your analytics team can query, model, and integrate freely.

See This Solution In Action

We'll walk through live warehouse queries and sample outputs for your specific use case.

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