The AI GTM platform for Biotech

Merix is the first AI agent platform dedicated to Biotech commercialization.

Our goal is to make it easier for biotech teams to know what the evidence actually says—and to use it consistently across commercialization.

Commercialization intelligenceAI agentsMarket research + field evidenceHCP targetingPayer policy monitoringCommercial Ops analytics

What Merix changes

From ad-hoc evidence to a governed system.

Merix turns disconnected research, field notes, targeting logic, payer documents, and Commercial Ops analysis into one intelligence layer—so teams can move faster without losing defensibility.

Question → evidenceminutes, not days
Policy changestracked & versioned
Targeting rationaleexplainable
Decisionsreusable & auditable
Speed
Up
Defensibility
Up
Rework
Down
Built for enterprise biotech constraints
Single-tenant
Isolated environments when needed
RBAC + audit logs
Traceable access & decisions
SSO/SAML
Integrates with your IdP

Overview

Commercialization intelligence, powered by AI agents.

Merix is a single intelligence layer for biotech GTM. It brings market research, field and MA evidence, payer policies, targeting logic, and Commercial Ops analysis into one governed system—so teams can align on what the evidence actually supports.

One source of truth for evidence

Stop losing insight to decks, emails, and one-off notes.

  • Unify market research with field and MA evidence
  • Ask questions across the full corpus with citations
  • Reuse evidence across decisions instead of redoing synthesis

Commercial Ops owned, cross-team usable

Built for the team that already owns the workflows.

  • Governed access for Marketing, Field, MA, and Access
  • Clear provenance and versioning across sources
  • Exports that fit how teams actually communicate

Defensible decisions at operating speed

Move fast without losing traceability.

  • Explainable targeting and policy monitoring
  • Audit trails for key assumptions and outputs
  • Decision memos that capture what changed and why

Platform

Six modules, one intelligence layer.

Start with the Evidence Hub and Insight Ops backbone, then add the modules your Commercial Ops team owns today.

Commercialization intelligence layer

demo

Merix organizes evidence and operational intelligence into a governed foundation. AI agents operate on top of that layer to answer questions, highlight changes, and support decisions—while teams only see what they’re allowed to see.

  • One place for MR, field evidence, targeting logic, payer documents
  • Role-based access with auditability
  • Outputs designed for real workflows, not demos

Click to see the Intelligence Layer & Evidence Hub demo.

1) Market & Field Evidence Hub + AI Chat Agents

demo

Ask questions of market research, field feedback, and MA insights in one place—with citations back to the source evidence.

Ingest MR decks, transcripts, surveys, and notes
Capture field and MA evidence alongside formal MR
Chat across the corpus with citations (study, wave, quote)
Save answers and rationales for reuse

Click to see the Evidence Hub & chat experience.

2) Insight Ops Pipeline

demo

The operational backbone that keeps the evidence clean, current, and safe to rely on.

Evidence registry: what’s in scope, out of scope, and versioned
Standard ingestion and tagging workflows
Refresh and change tracking as new studies arrive
Quality controls for citations, duplication, and OCR issues

Click to explore the Insight Ops Pipeline demo.

3) HCP Targeting & Territory Intelligence

demo

Prioritize HCPs, accounts, and territories—and explain why those priorities exist.

Territory and HCP prioritization views by specialty and geography
Explainable drivers behind rankings (not black-box scores)
Scenario testing when criteria or strategy changes
Exportable lists with review and approval workflows

Click to explore Territory Intelligence & targeting.

4) Payer Policy Monitoring & Access Intelligence

demo

Track payer policies and access criteria over time so teams see risk early and respond deliberately.

Ingest and organize payer policies and PA criteria
Change detection with version history (what changed, when, where)
Internal Q&A over policy text with citations to source documents
Configurable alerts and digests for meaningful coverage movement

Click to explore the Payer Policy Monitoring demo.

5) Key Opinion Leader & Influence Mapping

demo

A shared view of who influences diagnosis and treatment—and a way to preserve that knowledge over time.

Central registry with roles, affiliations, and focus areas
Views by topic, region, and specialty to prioritize engagement
Governance for what’s known vs inferred, with context notes
Search and AI-assisted exploration across your internal influence knowledge

Click to explore the Key Opinion Leader & Influence Mapping demo.

6) Commercial Ops Analytics Workbench

demo

A shared workspace for incentives, performance questions, and planning inputs—so analysis doesn’t die in spreadsheets.

Structured workflow: question → analysis → assumption → output
Artifact library for incentive logic, territory definitions, and KPIs
Ask-and-answer across prior analyses and internal docs with citations
Exportable decision memos: what we decided, why, and what to monitor

Click to explore the Commercial Ops Analytics demo.

Governed AI agents, not a shared inbox

Merix centralizes evidence, but access stays role-based. AI agents operate inside defined scopes, and key outputs can be reviewed, saved, and audited—so speed doesn’t come at the cost of control.

Use cases

How biotech GTM teams use Merix.

Real workflows for Commercial Ops, Marketing, Field, and Access—built around evidence, not one-off analysis.

Answer high-stakes questions fast

Get a sourced answer without a week of synthesis.

Step 1Ask a question in the Evidence Hub chat agent
Step 2Review citations back to MR, field, or MA evidence
Step 3Save the answer and rationale for reuse

Make targeting explainable

Prioritize HCPs and territories with logic leadership can defend.

Step 1Configure criteria and review key drivers
Step 2Generate a proposed list with rationale
Step 3Approve and export for field execution

Catch access friction early

Track payer criteria changes and share impact quickly.

Step 1Ingest and version payer policies
Step 2Detect meaningful changes and flag risk
Step 3Coordinate response across Access and Commercial Ops

Security

Built for biotech constraints: privacy, governance, and control.

Merix is designed for sensitive research and commercial data. AI agents operate under your governance model, with role-based access and auditability.

Security controls

Clear safeguards for evidence, operational data, and internal analysis. Designed to support controlled access and defensible outputs.

EncryptionIn transit and at rest
RBACFine-grained roles and permissions
Audit loggingTrace access, AI usage, and configuration changes
SSO/SAMLIntegrates with your IdP
Retention controlsCustomer-defined retention and export policies
Ingestion controlsPre-processing and anonymization options before AI sees data

Deployment options

Choose how and where Merix runs. We adapt to your security posture and governance requirements.

Single-tenant cloud environments
Customer VPC deployment patterns
On-prem / isolated infrastructure support
Air-gapped configurations when required
Partitioned workspaces for strict team separation
Compliance-aligned by design (HIPAA / SOC 2 / GDPR on request)

Pricing

Enterprise pricing, aligned to adoption.

Most teams start with the Evidence Hub and Insight Ops backbone, then expand into targeting, access, key opinion leader mapping, and Commercial Ops analytics.

How we typically engage

We start with a narrow scope, prove value quickly, and expand based on the workflows your Commercial Ops team owns.

Phase 1
Evidence Hub + AI Chat Agents + basic governance
Phase 2
Insight Ops Pipeline + HCP Targeting & Territory Intelligence
Phase 3
Payer Policy Monitoring, Key Opinion Leader Mapping, and Commercial Ops Analytics
Optional
Additional team-specific workflows as adoption grows

Talk to us

Bring one workflow and one data source. We’ll recommend a starting module set and a deployment approach.

Prefer async? Send a short overview (or a redacted MR deck) to .

Team

Built by people who’ve lived GTM, AI, and enterprise constraints.

We build systems that operators actually use: governed data, clear outputs, and adoption-first design.

CEO
Jordan Coursey

Previously founded an AI-powered compliance software company and closed six-figure enterprise contracts, including with GoPuff. Focused on building AI products that operators actually adopt.

M.S., UC San Diego
CTO
Ray Wang

Built AI systems for a top-20 pharmaceutical company and leads platform architecture and security for Merix.

M.S., Brown University
Head of Data Science
Leah Li

Ten years of marketing data science experience across Uber, Udacity, and Cisco, with a focus on explainable, practical modeling.

M.S., George Washington University

If you’re rethinking biotech GTM with AI, let’s talk.

Bring one market research deliverable, a targeting question, or a payer policy challenge. We’ll show what Merix looks like in your workflow.

Schedule a conversation