AGENT01ANALYTICS
BI Agent
Builds boardroom-ready dashboards in Qlik, Tableau, or Power BI from a natural-language question. No analyst queue. No Friday rebuilds.
AN AGENTIC OPERATING SYSTEM
Agents that run biotech. So your team can run the science.
A fleet of AI agents operating the commercial engine — patient access, data pipelines, analytics, and field operations.
Patients wait on paperwork.
Stalled specialty cases are triaged from spreadsheets.
Feeds arrive broken.
Schema drift and vendor email threads slow every decision.
SIGNAL / 00:00 UTCMEDEOR · FLEET TELEMETRY
INGESTINTERPRETNORMALIZEREASONACT
Built for commercial-stage biotech and global pharma.Medeor — Latin, “I heal.”
Medeor’s aim is to hand that work to agents.
Science moves at the speed of discovery. Operations should too.
Indicative industry figures put first-fill abandonment for specialty therapies above 40%, and average time-to-therapy at 18+ days.
Patient access is our entry point. The platform extends beyond.
The wedge is the highest-stakes workflow in commercial biotech. The destination is the entire enterprise — one agent per function, all sharing one intelligence graph.
OUR FLEETFive agents. One operating system.
BI
ETL
CRM
PATIENT SERVICES
ANALYTICS
GRAPH
GOVERNANCE
First-fill abandonment40%+
Revenue per ultra-rare patient case$2M–$3M
Average time-to-therapy18+ days
Indicative industry figures. Values vary by therapy and cohort and are illustrative, not guaranteed outcomes.
Each agent operates a function. Together, they run the company.
AGENT02DATA
ETL Agent
Watches every specialty pharmacy and hub feed. Detects schema drift, corrects mappings, alerts vendors, and lands clean tables in your warehouse.
AGENT03FIELD
CRM Agent
Lives inside Veeva and Salesforce. Updates accounts, pulls reports, and surfaces next-best-actions for field teams without an admin in the loop.
AGENT04PATIENT ACCESS
Patient Services
Triages every stalled case every morning, and runs outbound patient and prescriber check-ins with voice AI at scale.
AGENT05INTELLIGENCE
Analytics Engine
Monitors KPIs across every function, correlates signals no human would connect, and surfaces revenue at risk before the QBR.
AGENT06UNDERNEATH
Correction Layer
The cross-agent graph of mapping fixes, vendor latency metrics, and anomaly patterns that every deployment can sharpen.
Platform vision. Capability and deployment scope are agreed during your demo.
Integrations named are representative of the systems commercial teams use today.
Medeor Bio does not own patient data. Agents operate on the data your team already receives.
Built for teams that move first.
Agents compound. The earlier they operate on your workflows, the more every correction sharpens the fleet.
Built for commercial teams who:
- run specialty or rare-disease brands
- measure every stalled patient case
- want agents, not another dashboard
Not the right fit if you:
- are pre-commercial with no feeds yet
- want a static reporting tool
- can’t share data with a VPC deployment
The wedge — patient access triage
Our patient access playbook
Detect status gaps, payer nulls, and post-approval reversals — the patterns that predict abandonment.
01 / DETECT
Anomaly
Anomaly
detection
Rank every case by revenue impact and time-to-treatment urgency. Delivered to FRMs every morning.
02 / TRIAGE
Intervention
Intervention
queue
Voice AI runs patient and prescriber check-ins at scale. Every action logged and attributed.
03 / RESOLVE
Outreach
Outreach
at scale
More of the day stays with your team.
For a narcolepsy asset, a stalled case is $75K in annual net revenue. For an ultra-rare gene therapy like MLD, it’s $2M–$3M — and a family waiting. Examples are illustrative.
Medeor Bio
Manual operations
New SP vendorOnboarding a new schema
Mapped autonomously
Config sprint
Stalled patient caseTime to surface
Ranked by 06:00
Spreadsheet review
Incoming feedProcessing cadence
On arrival
Nightly batch
Dashboard requestTime to answer
One question
Analyst queue
OutreachPatient and prescriber
Voice AI at scale
Phone queues
Today’s intervention queue
The ROI metric: incremental patient starts attributable to intervention. This is not a dashboard. It is a decision engine.
Illustrative sample · not real patient data
CaseSignalStatusAt risk
PT-0418 · MLDPayer null · D9URGENT$2.4M
PT-1192 · NARCStatus gap · D6TRIAGED$75K
PT-0877 · NARCPA reversalURGENT$75K
PT-2031 · MLDHub delay · D3CALLED$2.1M
PT-1540 · NARCCopay gapRESOLVED$75K
ARCHITECTURE
Built AI-native. Not AI-bolted-on.
New vendors, schemas, and column names are read, sampled, and mapped autonomously. Files are processed on arrival with sub-hour latency.
DEPLOYMENT
Designed for your VPC.
Sensitive processing stays inside your environment. Access, validation, and procurement requirements are agreed before deployment.
Built for environments where trust is the product.
Designed to pass your security review — not to survive it. Documentation, certification status, and BAA templates are available during your demo.
PHI belongs in your environment.
Our deployment model is designed for your AWS VPC. Scoped access, isolated processing, and data boundaries defined with your security team.
Architected for regulated operations.
Designed around HIPAA, GxP, and 21 CFR Part 11 requirements. BAAs, audit trails, and validation scope agreed before PHI processing.
Trust is earned. Not claimed.
AES-256 at rest, TLS 1.3 in transit, and role-based access are design requirements. Certification status is shared during diligence.
You own your data. Always.
Any reuse of de-identified corrections, vendor metrics, or anomaly patterns is subject to your contract and agreed data rights.
CROSS-AGENT INTELLIGENCE
Every deployment makes the next one smarter.
Medeor Bio does not own patient data. We build the correction layer — the mapping fixes, the vendor latency metrics, the anomaly patterns, the cross-agent signals.
Every schema correction can improve the parser. Every anomaly signature can sharpen detection across the fleet — where customer agreements permit.
Why now$3.8B → $14.2B
AI-driven pharma sales enablement market, 2025 → 2034
Why now37.3% CAGR
Agentic AI in pharmaceuticals, through 2033
Why now$30B+
Veeva market cap — proof that life sciences software wins
Market estimates from the founding thesis. Forecasts are not guarantees; market values change.
MISSION
Cheaper, faster, more accessible therapies for every patient on Earth.
Biotech was never supposed to move this slowly. Medeor Bio exists to hand the commercial engine of every biotech to a fleet of agents that never sleep, never forget, and never stop improving.
This is not a tool. This is the operating system.
Questions, answered
Q1What is Medeor Bio?
Medeor Bio is an agentic operating system for biotech commercial operations: a fleet of AI agents that operate patient access, data pipelines, analytics, and field workflows for commercial-stage biotech and pharma teams.
Q2Where do you start?
With Patient Access Triage. It is the highest-stakes workflow in commercial biotech, and its outcome is measurable: incremental patient starts attributable to intervention.
Q3What data does the agent use?
The same specialty pharmacy, hub, and CRM data your team already receives. We do not require new data sources to begin.
Q4Where does our data live?
The deployment model is designed for your AWS VPC, so sensitive processing stays inside your environment. Access, validation, and data boundaries are agreed with your security team before deployment.
Q5Are you HIPAA, GxP, or SOC 2 certified?
The platform is designed around HIPAA, GxP, and 21 CFR Part 11 requirements. We do not claim certifications here; current status and supporting evidence are shared during diligence.
Q6Which systems do you work with?
Veeva and Salesforce for CRM, Redshift and Snowflake for warehousing, and Qlik, Tableau, and Power BI for dashboards. Scope is confirmed during your demo.
Q7Who owns the corrections and patterns?
You own your data. Any reuse of de-identified corrections, vendor metrics, or anomaly patterns is governed by your contract and agreed data rights.
Q8What happens in the demo?
Thirty minutes, no slides. We show the agent operating on a redacted dataset from your therapeutic area, live, and map a clear path to a pilot.
See it running on your data.
30-minute demo. No slides. The agent operating on a redacted dataset from your therapeutic area, live.
