AI Platform

One platform. Four products. A closed loop that never breaks.

Forge builds MLR-compliant content. Cue delivers adaptive learning. Stage assesses readiness in live HCP roleplay. Trace confirms behavioral competency. When a rep falls short, the system rebuilds the content automatically — no human handoffs, no stalled remediation cycles.

The Closed Loop

Build → Deliver → Assess → Trace → Repeat. Most learning platforms stop where ours begins.

Forge builds the content. Cue delivers the learning. Stage assesses the readiness. Trace verifies the competency. When a gap appears, the loop closes itself.

The Closed Loop · Intelligent Commercial Readiness
Proxa Labs closed-loop diagramFour-product oval cycle showing Forge building content, Cue delivering learning, Stage assessing readiness, and Trace verifying competency.Intelligent CommercialReadinesscontent publishedreadiness reachedcompetency demonstratedgap → rebuildForgeBuilds MLR-compliant contentCueDelivers adaptive learningStageAssesses in live HCP roleplayTraceVerifies behavioral competency
Forge is active
AI agents generate MLR-compliant content from your PI, CSRs, and brand assets, with every claim cited automatically.

Most pharma learning platforms are one-way. Content flows from authors to learners, assessments measure completion, and that's where the loop ends. When a rep can't handle an HCP objection in the field, the platform doesn't know. The next cohort gets the same content. The same gaps appear.

Proxa Labs inverts the sequence. Stage's behavioral assessments surface structured gap signals — specific competencies where reps underperform against benchmarks. Those signals flow into Forge as a content brief. Forge drafts remediation content overnight, routes it through MLR pre-checks, and publishes to Cue before the next training cycle. The loop closes itself.

No other platform in biopharma commercial learning does this. Not because it's hard to build, but because no one else has the methodology behind it.

Forge

Agentic content creation.

AI agents build MLR-compliant training content from your PI, CSRs, and brand assets — every claim cited to source. Hours, not months. No instructional designer required to get to a first draft.

  • Auto-generation from clinical data and PI
  • Every claim cited — MLR artifacts auto-built
  • Veeva PromoMats workflow integration
  • Content Gap Analyzer feeds directly from Stage failures
Forge · Content Workspace
Oncology Launch Training Draft
MLR READY
Source Package
Prescribing InformationIndexed
PI sections 5.1, 6.2, 8.4
Clinical Study ReportCited
CSR efficacy + safety tables
Brand Message MapMapped
Approved launch narrative
87
claims found
100%
cited
Draft status
3 modules generated · reviewer handoff queued
Generated Training Outline
0 MLR flags
Module 01 · Disease State Context
18 claims✓ 18 citationsMLR pre-check
Module 02 · MOA + Clinical Data
42 claims✓ 42 citationsMLR pre-check
Module 03 · Safety Conversation
27 claims✓ 27 citationsMLR pre-check
MLR Readiness
Every claim tied to source
No unsupported superlatives
Required safety language present
Veeva routing package ready
Cue

AI-powered adaptive learning.

Personalized learning pathways mapped to competencies and role requirements. Real-time gap detection adjusts the path before reps reach the field.

  • Competency-role mapping with behavioral rubrics
  • Adaptive pathways that respond dynamically to gaps
  • Manager dashboards with predictive readiness scoring
  • Integrates with InsiteX LMS and Veeva
Cue · Rep Pathway
Sarah Chen · Oncology Onboarding
Week 6 of 12
COMPETENCY READINESS
Mechanism of Action 88%
Clinical Data 74%
Objection Handling ● gap detected41%
Compliance 96%
⚠ Gap detected in Objection Handling. Adaptive remediation queued.
Predicted readiness in 2 weeks: 92%
🎭 Stage assessment unlocked
Stage

AI roleplay & behavioral assessment.

Live HCP roleplay with AI physician avatars. Real-time compliance monitoring flags off-label language and unsupported claims before they reach the field.

  • 8 HCP digital twin avatars with behavioral models
  • ComplianceGuard: real-time compliance flagging
  • Behavioral scorecard + industry benchmarks
  • Gap payload triggers Forge auto-rebuild pipeline
Stage · HCP Roleplay
Dr. Kim · Hematologist · Live Session
● RECORDING
DK
You
The therapy has shown a 40% reduction in disease progression compared to standard of care.
⚠ ComplianceGuard: Claim not in PI for monotherapy use. Did you mean "in combination therapy"?
You
Apologies — in combination with bortezomib, the data shows a 38% reduction in PFS.
✓ ComplianceGuard: Approved phrasing — citation matches PI section 5.1
Dr. Kim
What about safety in elderly patients?
Clinical Accuracy
88
Compliance
100
Objection Handling
72
Trace

Demonstrated field readiness.

Certification earned through behavioral competency, not attendance. Every record is audit-ready, tied to specific behavioral evidence, and retained for 10 years.

  • Competency-gated — no attendance shortcuts
  • Behavioral evidence for every issued certification
  • SOC 2 Type II compliant, SHA-256 audit logs
  • 10-year retention for regulatory inspection
Trace · Audit Record
Certification of Field Readiness
Issued To
Sarah Chen, Oncology Specialist
Northeast Region · Cohort A26-04
Behavioral Evidence (5 of 5 verified)
Mechanism of Action — verified Stage session #2841
Clinical Data — verified Stage session #2856
Objection Handling — verified Stage session #2879
MLR Compliance — 100% across 12 sessions
Manager observation — passed (8 of 8 criteria)
Issued
Apr 12, 2026
Valid Through
Apr 12, 2027
SHA-256 Audit Hash
a3f9c2b8e1d47f6c5a82b9e3d1c4f7a8b2e6d9c1f4a7b3e8d2c5f9a1b4e7c3d
SOC 2 Type II10-yr retention
Side by Side

How the three options compare.

Two Proxa Labs paths. One reason traditional LMS falls short.

Capability
Traditional LMS
InsiteX LMS
Proxa Labs AI Platform
SCORM / AICC content delivery
Credential + audit trail
partial
Veeva integration
partial
Enterprise SSO + RBAC
Agentic AI content creation (Forge)
AI roleplay assessment (Stage)
Behavioral certification (Trace)
Closed-loop gap remediation
Best for
Teams without pharma compliance needs
Teams that need a reliable LMS today
Teams with an AI mandate now
When You Upgrade

Your InsiteX data flows into the AI Platform natively.

InsiteXCue

Existing learner records flow from InsiteX into Cue adaptive pathways. No data migration.

ForgeInsiteX Library

Forge-generated content publishes straight into your InsiteX content library. Teams keep working in the LMS they already know.

StageInsiteX Records

Stage assessment outcomes log to InsiteX as completion and competency records, audit-ready.

See the closed loop in action.

We'll walk you through Forge, Cue, and Stage in the context of your commercial organization — not a generic product tour.