Scientific engagement intelligence for Medical Affairs

Every other function in pharma can point at its number at the end of the year. RocketMSL gives Medical Affairs the same thing — by measuring the scientific substance of what was actually discussed, in every interaction, and compounding it into knowledge that grows per HCP.

RocketMSL meetings list with an Add Meeting dialog surfacing missed talking points to carry into the next meeting's prep
The problem

Medical Affairs is the only function without a number

Commercial has revenue. Market access has formulary wins. R&D has trial milestones. Medical Affairs has activity counts — meetings held, materials shared, HCPs reached — and none of it says whether the science landed.

So impact gets self-reported. Call quality gets self-assessed. And when budget season arrives, the function with the weakest evidence of its own value is the one that gets questioned.

What exists today
RocketMSL
What it should be
AI

Gaps flagged after the meeting is over

Guidance during the conversation, while it can still change

KPIs set manually and tied to commercial proxies

Objective measures generated from the scientific content itself

Call quality self-assessed by the person who ran the call

Engagement and sentiment captured from the interaction

How it works

Six stages, and each one makes the next sharper

Nothing here is a separate product. Each stage feeds the next, and what a conversation produces sharpens the preparation for the one after it. Teams start where it helps most and add stages as they go.

01

Scientific content in

Approved materials are ingested and mapped to products and communication topics.

Once, up front
02AI meeting preparation03The interaction04Ambient capture05Scientific measurement06Compounding knowledge
Repeats every conversationAI meeting preparation

The platform generates the scientific talking points that matter for this HCP, from this content.

Scientific discussion depth

We score the conversation, not the person

Most tools tell you a meeting happened and hand you a transcript. Scientific Discussion Depth asks a harder question: how much science actually moved in that conversation?

It resolves to a single score out of 30, built from two things.

Planned → discussed

Talking-point coverage

Of the scientific points planned for this HCP, how many were genuinely discussed. Generated from your own approved content, so the target is never arbitrary.

Substance, not volume

Insight yield

What new scientific substance came back from the HCP — unmet needs, evidence gaps, treatment barriers, clinical questions. Scored for substance, not counted.

030
0
Point scale
Coverage and yield resolve to one score
What you actually get

This is the product, not a mock-up

A single interaction produces a scored engagement, typed insights, talking-point coverage, and a knowledge position for the HCP on both the product and the specific scientific topic.

RocketMSL Scientific Depth analytics: overall score 22 of 30, overall depth score dial, top MSL depth scores for msl2, msl4, msl1 and msl3, and depth distribution across physical, e-meeting and Digital Twin interactions

Illustrative data. Screenshot from the live platform.

Category

Four things people assume we are

What people assume
A meeting transcription toolA CRMA note-taking assistantA chatbot for HCPs
What it actually is

01

Transcription is an input. The output is a scored, structured assessment of scientific substance.

02

Your CRM stays the system of record. We are the intelligence layer on top of it.

03

Notes describe a meeting. We measure one, and carry it forward into the next.

04

The Digital Twin answers only from approved content, and escalates rather than inventing.

Sits above your stack

It makes what you already run more valuable

RocketMSL runs standalone or on top of the systems you already use. Where a system of record already exists, it stays the system of record — insights, questions and follow-up write back into it, making the data you already hold more useful rather than starting a parallel one.

Intelligence layer, on top

RocketMSL

standaloneor on top of the systems you already use
writes back into it
Stays the system of record

The systems you already use

Rather thana parallel system of record
Maturity

One system, maturing in stages

  1. 01

    In-call guidance

    LIVE
  2. 02

    Scientific Digital Twin

    IN PILOT
  3. 03

    Medical planning intelligence

    VISION

Every stage runs on the same infrastructure. This is one system maturing, not three products — and stage one stands on its own.

Built for pharma from the start

Hosted LLM — your data does not leave the environment

Role-based access control at the API layer

Per-tenant data isolation

SOC 2 certification in progress

See it on a real conversation

Thirty minutes, your therapy area, your content. We’ll show you what the platform produces from a single scientific interaction.