Life sciences

Why the launch isn't landing, while it still matters.

Arist combines internal commercial data with AI interviews across the field to surface the root causes, blockers and risks leadership cannot see in dashboards alone.

The field knows first. The dashboard knows later.

A brand underperforms in three regions and not the others. A launch tests well and then slows. The commercial data tells you that it happened and roughly when.

Why is the expensive part. It has meant months of work across consultants, internal teams, interviews, surveys, and disconnected data. In a launch window, an answer that arrives after the quarter is an answer about history.

Built to ask at field scale

  1. 01

    Analyze

    Dozens of internal data sources, from commercial performance to field activity, read together to find the critical problems rather than the visible ones.

  2. 02

    Interview

    Thousands of field team members, interviewed by AI voice, each cohort on its own questions, language, and schedule.

  3. 03

    Surface

    Root causes and blockers organized by role, region, and brand, with analysis informed by hundreds of enterprise deployments.

Two questions life sciences teams bring us

  • Product launches

    Why a launch isn’t landing as planned

    What is preventing teams, markets, or workflows from executing the launch as intended? Find the risks while there is still time to respond.

    Product launches
  • Commercial excellence

    Why similar regions and teams perform differently

    Why do regions, brands, and teams with similar expectations deliver different results? Hear from the field and connect it with commercial data.

    Sales performance
  • 90%+faster from new positioning to field adoption
    • A global pharma company

    Commercial leaders could see where reps were falling behind, and why, before it showed up in performance.

  • 83%of reps put the recommended change into practice immediately
    • 18,000 sales reps, reached weekly

    A global life sciences company finds what is holding its field force back, and acts on it, every week.

Get to why

Get to why while the launch window is open.

We’ll help you understand why, in under 72 hours.

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