AI is collapsing drug discovery timelines.

Pharma content still drags through weeks of MLR.

Until now.

25K Free Credits (Launch Offer)

Loved by marketing teams at

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Built on SwishX

NovaCura: HCP Education Reel

Cardiometabolic

Magic Video · 16:9 · en-US

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00:0000:0500:1000:1500:20
HookClaim1Evidence2CTA
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25K Free Credits (Launch Offer)

The Problem

Approved content
arrives too late.

The old way

The brand in the queue

One asset stamped “in review,” cycling back a third time. The window closes. A competitor is already there.

3–6 weeksto move one asset through MLR
3–4 cyclesof revision before it clears
80%of approved content never used
With SwishX

The brand that ships

Live across email, web, video, and point of care the week it matters. Own the conversation. Set the curve.

41 minbrief to MLR-ready
94%first-pass MLR approval
30formats, one dossier
Solution

5 Digital Co-workers. One Platform.

Brief them like your best hires, each pre-trained on the last 12 years of Approved Assets and Award Winning campaigns.

Project Manager

Project Manager

Orchestrates
Content Strategist

Content Strategist

Plans
Harnessing 3 agents
Brief Intake
Audience Profiling
Format Selection
Medical Writer

Medical Writer

Writes
Harnessing 4 agents
Claims Extraction
Reference Linking
Fair Balance Generation
Narrative Construction
Creative Producer

Creative Producer

Creates
Harnessing 4 agents
Creative Production
Format Adaptation
Language Localization
Brand Compliance
MLR Reviewer

MLR Reviewer

Clears it
Harnessing 3 agents
On-Label Verification
Citation Annotation
Submission Readiness
The Platform, By Measurable Outcomes
Platform Capabilities
0

Marketing Objectives

Core commercial goals mapped from one brief

0

Audience Segments

Priority audiences planned before production starts

0

Content Formats

Approved formats produced through five Magic Engines

Platform Outcome
0%

Time Savings

Less time from brief to review-ready content

0%

Cost Savings

Lower production cost across repeatable assets

0
% reduction

MLR Cycle Time

Shorter review cycles with evidence built in

Our Magic Sauce

Industry’s First Brand Dossier To Power
30+ Formats. Every Objective. Every Audience.

Five Magic Engines share one Brand Dossier, grounded in medically referenced citations, so every format stays on-brand, on-label, and review-ready.

Patient explainer video built onSwishX
01

Magic Video

Short VideoMOA & ExplainerDTCPatient Story
Video proof path
Brand intro
Patient context
MOA sequence
Clinical evidence
HCP close
Built to Reason

The Reasoning Model Built for Life Sciences

Glorious, compliant and as desired on the first attempt

Co-workers assigned
5

Five dedicated co-workers shape the brief before production starts.

Scene 01MOA intro
Veo
Scene 02HCP moment
Kling
Scene 03CTA cut
Runway

Each shot gets routed to the model best suited for its motion, tone, and format.

Orchestration

Multi-model routing

Google: Gemini Omni Flash, Veo 3.1Runway: Gen-4.5, Aleph 2.0Kling: 3.0, 2.5 TurboByteDance: Seedance 2.0Luma: Ray3.2Pika: 2.5MiniMax: Hailuo 2.3, 02Adobe: Firefly VideoWan: 2.2Tencent: HunyuanVideo 1.5
ElevenLabsCartesiaPlayHTResemble AIMurf AIWellSaid LabsElevenLabsCartesiaPlayHTResemble AIMurf AIWellSaid LabsElevenLabsCartesiaPlayHTResemble AIMurf AIWellSaid LabsElevenLabsCartesiaPlayHTResemble AIMurf AIWellSaid Labs
Compliance

On-label by construction

Off-label language, missing fair balance, and unlinked claims are structurally prevented, not caught in review.

Finsen 3.2

Proprietary reasoning, purpose-built for life sciences.

Reasoning engine

How the brief gets processed

1

Brief decoded

2

Context harnessed

3

Prompts layered

4

Claims linked

5

Model routed

Output verified

The Brand Dossier

Every model knows medicine.
None of them know your brand.

General AI guesses at your brand. SwishX starts from your own verified Brand Dossier, so every asset already knows what’s true.

Gemini
Trained on the open web
Claude
Trained on the open web
ChatGPT
Trained on the open web
SwishX
100%Grounded in your Brand Context

Technology partners

Built with the best in Frontier AI

AnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKlingAnthropicOpenAIGoogle AI StudioAWSHeyGenCartesiaSeedanceElevenLabsKling
Fits your stack

Feeds your Veeva and Cortex workflow. Does not replace it.

SwishX pulls your approved claims and references in, and pushes submission-ready packages out, every claim annotated to its source. It sits upstream of your MLR system, feeding it content that is already clean.

SwishXUpstream

Generates clean, referenced, submission-ready content

every claim annotated to its source
VeevaPromoMatsIndegeneCortex
Your MLR system

Reviews and approves, exactly as it does today

How it works

Brief in. Review-ready out.

3 steps from a blank page to an asset your MLR committee can clear in one pass.

01

Start from your Brand Dossier

Point SwishX at your own materials, or let us build your Brand Dossier: a single source of truth across the drug, the disease, and the therapeutic area.

  • Approved label, PI, and clinical references
  • Core claims, mapped to their evidence
  • Disease-state and therapeutic-area context
  • One source every co-worker generates from
Label & PI
Core claims
Disease state
References

Brand Dossier

Single source of truth

02

Set the brief

Choose the format, the objective, and the goal, then dial in the details that make it yours.

  • Format, objective, and funnel stage
  • Audience, tone of voice, and language
  • Generate the script, or refine your own
  • Apply your brand colors and brand kit
New brief
FormatVideo
AudienceHCP
ObjectiveAwareness
TopicSelect topic
Brand kit
03

Get a review-ready asset

In minutes: every claim referenced, fair balance in place, ready to enter MLR clean.

  • Citations shown by default
  • Fair balance and ISI already placed
  • Edit any component just by chatting
  • Full flexibility on copy, visuals, structure
Review-ready asset
123
Fair Balance · ISI

Tighten the headline

Built for regulated industries

Security and compliance,
engineered in, not bolted on.

Every layer of SwishX is built to the standards pharma and medtech commercial teams already answer to.

21 CFR 202.1

MLR-ready by design

GDPR

GDPR

Compliant

HIPAA

HIPAA

Compliant

SOC 2

SOC 2

Type II compliant

TLS 1.2+

TLS 1.2+

Every connection encrypted

AES-256

AES-256

Encrypted at rest

Full detail on our practices is available on the Security Page.

See it run on your own brand.

Book a 30-minute demo and watch a brief become a review-ready asset before the call ends. Or start free and make one yourself.

Selected for the AWS & Anthropic Agentic AI Accelerator as the only life sciences company in the 2026 cohort