Capabilities and accelerators

Capabilities built for life sciences.

Pre-built data models, analytics and specialized AI agents, designed by practitioners who have run commercial, access and patient programs. Use one inside an engagement, or connect several on PrecisionNeXT360, our modular platform, in your environment or ours.

Request a walkthrough See the accelerators

Key accelerators

Pre-built life sciences models, analytics and agents.

Most analytics programs spend their first months rebuilding customer masters, data models, standard reports and quality checks. Our accelerators arrive with those built for life sciences, so the first weeks go to your brand's questions.

Harmonize · Unify · Build

Data foundation

One customer, resolved once, and read the same way by every team downstream.

Explore Analyze · Invest · Measure

Marketing effectiveness

Shows what promotion produced, in a form that holds up in a budget review.

Explore Focus · Instrument · Track

Field effectiveness

Makes sizing, alignment and the payout distribution visible while the plan can still be shaped.

Explore Connect · Understand · Engage

Customer engagement

Puts the next conversation where the work already happens, with the reason attached.

Explore Identify · Route · Support

Patient finding

Surfaces likely patients and the care teams who treat them, within privacy rules.

Explore Automate · Verify · Explain

AI agents

Takes on high-volume, checkable work, with every answer sourced and a person accountable.

Explore

Data foundation

Every customer and every feed, in one governed view.

Claims, specialty pharmacy, hub, CRM, digital and reference data harmonized on pre-built life sciences data models. Identity resolution matches each physician, account and de-identified patient once; quality gates catch late, partial and duplicate files before anyone reports on them.

  • HCP, HCO and IDN identity resolution
  • Affiliations and account hierarchies
  • Quality gates on every feed
  • Shared definitions with named owners
  • Lineage and role-based access
  • Your cloud or ours

Marketing effectiveness

Separate the demand you created from the demand already forming.

Launch tracking from the first week, channel response curves with carryover and saturation, and marketing mix models validated against periods the model never saw. Holdout and matched-region designs are built into the plan, so impact is measured rather than assumed.

  • Launch leading indicators
  • Response curves per channel
  • Holdout and matched-region designs
  • Budget scenarios for finance review

Field effectiveness

A field plan representatives trust enough to work from week one.

Territory sizing and alignment balanced on workload and opportunity, goals set against measured potential, and payout curves simulated before the plan goes live. Cycle close and appeals are supported with the evidence behind every number.

  • Territory sizing and alignment
  • Goal setting on measured opportunity
  • Payout curve simulation
  • Cycle close and appeals support

Customer engagement

The next best action, delivered where the work already happens.

Suggestions for representatives, medical science liaisons and marketing land inside CRM and the channels teams already use, each with the reason attached. Channel sequences are built on consented, approved content, and adoption is tracked so suggestions improve with use.

  • Next best action with the reason
  • Channel sequencing within review rules
  • Field and home-office feedback loops
  • Adoption and impact over time

Patient finding

Reach the patients who could benefit, sooner.

In rare and specialty conditions, years can pass between first symptoms and diagnosis. Privacy-safe real-world data and diagnosis and testing signals point to likely patients and the physicians and sites that treat them, and route each signal to the field, medical or hub team allowed to act on it.

  • Diagnosis and testing signals
  • Treating HCPs and sites of care
  • De-identified, governed linkage
  • Routing within compliance rules

AI agents

Specialized agents, with people in the loop.

Agents take on the repetitive work across commercial operations: reconciling feeds, drafting territory and account briefs from governed data, and answering stakeholder questions with sources attached. Interpretation, and anything a customer, payer or patient sees, stays with a named person.

  • Feed reconciliation and data checks
  • Briefings from governed data
  • Evaluation and audit trails
  • Human review in every flow

Adopt your way

Ways to adopt PrecisionNeXT accelerators.

Single accelerator

One question, answered well.

A launch measurement plan or a patient-finding pilot against a defined decision.

Connected components

Plug into what you run.

The data foundation, the ontology or individual agents inside your existing systems.

Enterprise

One platform across brands.

A connected deployment across brands and functions, in your environment, run with your teams.

Connect with us

Connect with our experts.

Book thirty minutes with the senior practitioner who would lead the work. Bring the decision you are facing, and you will leave with a view on where to start.

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