Content Development

MLR-compliant content. Built for field readiness.

Every output is MLR-compliant, built by practitioners with deep biopharma commercial backgrounds, and measured by what reps can do in the field — not completion rates. Whether your launch needs speed or nuance, there's a track built for the moment.

Two Tracks. One Standard.

AI-powered, human-led, or both.

Forge is our AI-powered track. It compresses content development from months to hours when speed matters. Traditional instructional design is our human-led track. It protects the depth and nuance that complex therapeutic content requires. Most launches use both — Forge for foundational modules, human-led for high-stakes objection handling.

Track 01

AI-Powered Forge

Speed for foundational modules when launch timelines compress.

  • Hours to draft
  • Auto-citation
  • MLR pre-checked
Track 02

Human-Led ID

Practitioner depth for high-stakes, nuanced field conversations.

  • Practitioner-authored
  • Field-validated
  • Behavior-change targeted
Every Output, Every Track
  • Compliance-first designEvery output MLR-routable
  • Field-validatedBuilt by people who've ridden along
  • Behavior-change targetedCompletion is not the metric
Example Scenario

A 9-month launch window. Three therapeutic indications. One content team.

Months 1–3

Lead indication gets human-led depth.

Traditional ID focuses on high-stakes objection handling and HCP scenario work.

Track 02
Months 2–6

Forge drafts the foundational lift.

Indications two and three are drafted from PI, CSRs, and brand assets with cited claims.

Track 01
Months 4–7

Practitioners validate before MLR.

Proxa Labs reviewers validate accuracy, nuance, and field readiness before routing.

Tracks 01 + 02
All three indications launch on time, MLR-cleared.
Therapeutic Area Coverage

We've built launch training across the major therapeutic areas.

Our content practitioners have authored launch training across ten therapeutic areas. The depth shows in the work: nuanced PI handling, accurate MOA framing, and HCP persona behaviors that match real specialty conversations.

OncologyHematologyImmunologyCardiologyEndocrinologyNeurologyRare DiseaseVaccinesAnti-InfectivesRespiratory

Launch on time. MLR clean.

Tell us about your launch window and content backlog. We'll show you the mix of AI-powered and human-led work that fits.