Axiaris — Predictive Physician Intelligence

Rare Disease · Predictive Physician Intelligence

47% of your target physicians will miss the diagnosis.

We know which ones.

Axiaris predicts diagnostic readiness per physician — before the MSL call, before claims data exists. The first forward-looking intelligence in rare disease.

See the Intelligence → How it works

Axiaris · Diagnostic Readiness · HAE

● LIVE

—

Physicians profiled

—

High readiness

—

Will miss diagnosis

Your next two MSL visits — who should you prioritize?

Physician A

Allergist · Boston · 12yr

WILL DIAGNOSE

83% prediction of correct diagnosis within 90 days

Node 1 ✓Node 2 ✓Node 3 ✗

Physician C

Allergist · Providence · 15yr

WILL MISS

14% prediction — fails at initial suspicion

Node 1 ✗Node 2 ✗Node 3 ✓

Your MSL's time is limited. Axiaris tells you where it matters most — before the visit, not after.

See full physician intelligence →

The Intelligence Gap

01 / 05

The HCP data industry is looking
in the rearview mirror.

Existing HCP Data Vendors

✕Claims data — prescribed 90 days ago

✕Prescription history — behavior already happened

✕Survey intent — what they say, not what they do

✕No diagnostic confidence signal

✕Same dataset available to every competitor

Axiaris

✓Diagnostic prediction — will this physician suspect the disease

✓Behavioral decision data — measured under pressure

✓Confidence calibration — overconfidence vs uncertainty

✓Node-level failure map — where and why they miss

✓Proprietary — zero competitor access

$200B+

Global pharma commercial operations

$15–20B

HCP intelligence market · all players backward-looking

Forward-looking diagnostic behavioral prediction in rare disease today

The Platform

02 / 05

The diagnostic decision is the
real commercial bottleneck.

Sample Platform Output · HAE Program

"74% probability this physician will correctly identify and refer a rare disease patient within 90 days — before the MSL call, before the prescription, before claims data exists."

NODE 01

Diagnostic Suspicion

Will this physician suspect rare disease at first presentation?

Axiaris measures this

★ Highest value signal

→

NODE 02

Diagnostic Workup

Correct confirmatory tests in the right sequence?

Axiaris measures this

→

NODE 03

Treatment Decision

Correct therapy initiated at the right moment?

Axiaris measures this

MODULE 01

Diagnostic Readiness Score

0–100 per physician. Decision accuracy + confidence calibration + time-pressure performance.

Proprietary · Patent-pending

MODULE 02

Diagnostic Pathway Failure Analysis

Cohort map: where physicians fail, by node, specialty, geography. No individual opt-in required.

Cohort deliverable

MODULE 03

AI Physician Certification

First AI-scored diagnostic readiness certification in rare disease. Performance-based, not attendance.

Commercial data signal

Intelligence Tracks

03 / 05

The same data asset.
Two intelligence tracks.

Commercial Intelligence

Educational Intelligence

Axiaris · Diagnostic Readiness Intelligence

● PREDICTIVE

HAE

Fabry Disease

NF1

HAE · Northeast US · 47 physicians. Node 1 failure: 47%.

	ID	Specialty	Score	Prediction	Tier
+	PHY-0041 Boston · 12yr	Allergist	91	83%	HIGH
Node 1 · Suspicion ✓HIGH22s Node 2 · Workup ✓HIGH34s Node 3 · TreatmentProphylaxis timing ✗HIGH9s ⚠ ⚠ Overconfidence · Node 3 Profile Gap:Overconfidence · Node 3 Cohort:34% of allergists
+	PHY-0017 Hartford · 8yr	Immunologist	87	76%	HIGH
Node 1 ✓HIGH18s Node 2Minor hesitation ✓MED41s Node 3 ✓MED52s Profile Gap:None significant Flag:Node 2 hesitation
+	PHY-0089 New Haven · 6yr	Hematologist	29	14%	LOW
Node 1 · Suspicion ✗LOW112s Node 2 · Workup ✗LOW98s Node 3 · Treatment ✓LOW77s ⚠ Recognition gaps · Nodes 1+2 Profile Gap:Recognition · Nodes 1+2 Treatment:Intact

Anonymized · Individual profiles on opt-in · Cohort data: no opt-in required

Fabry Disease · DE + UK · 2319 neurologists. Node 1 failure: 72% Germany vs 38% UK.

	ID	Specialty	Score	Prediction	Tier
+	NEU-0312 Munich · 18yr	Neurologist	94	88%	HIGH
Node 1Atypical Fabry ✓HIGH24s Node 2 · Enzyme testing ✓HIGH28s Node 3 · ERT initiation ✓HIGH31s Profile Cohort rank:Top 6% Gap:None
+	NEU-0187 Hamburg · 9yr	Neurologist	51	38%	MEDIUM
Node 1Missed atypical ✗MED89s Node 2 ✓LOW62s Node 3 ✓LOW54s ⟳ Matches 72% German cohort pattern Profile Gap:Node 1 · Recognition Cohort:72% German neurologists

Geographic cohort patterns · no opt-in required

NF1 · 5 countries · 94 physicians. 71% show high confidence, low accuracy at MEK inhibitor decision.

	ID	Specialty	Score	Prediction	Tier
+	ONC-0044 Paris · 11yr	Ped. Oncologist	88	81%	HIGH
Node 1 · NF1 diagnosis ✓HIGH19s Node 2 · MEK eligibility ✓HIGH33s Node 3 · Treatment timing ✓MED48s Profile Gap:None significant
+	ONC-0071 Madrid · 7yr	Neurologist	44	31%	MEDIUM
Node 1 ✓HIGH21s Node 2 · MEK eligibility ✗HIGH11s ⚠ Node 3 · Treatment timing ✗HIGH8s ⚠ ⚠ 71% NF1 cohort overconfidence pattern Profile Gap:Overconfidence · Nodes 2+3 Cohort:71% of NF1 physicians

71% overconfidence rate is cohort data · no opt-in required

The behavioral layer your
CRM doesn't have.

Readiness Tier per HCP delivered directly into your commercial workflow. Enriches next-best-action — does not replace it.

CRM Integration

Veeva / Salesforce compatible — behavioral attribute per HCP

DPFA for MSL territory planning · no opt-in required

Individual profiles via explicit opt-in consent

Enriches next-best-action inputs — does not replace them

📊

Cohort Knowledge Gap Report

Medical Affairs · No opt-in required

Where physicians fail by node, specialty, geography — MSL briefing and speaker program design

Pre vs post accuracy — quantifies the gap your education is designed to close

Confidence Calibration Report — identifies overconfident physicians before a patient is missed

Cohort data · aggregate · no individual opt-in

🏆

Physician Diagnostic Certification

Medical Olympics · Performance-based

First AI-scored diagnostic certification in rare disease — performance, not attendance

Medical Affairs: identify certified diagnosticians for advisory boards and speaker programs

Annual recertification creates a longitudinal behavioral dataset per physician

Individual data · explicit opt-in consent

Same simulation. Two tracks. Commercial Intelligence and Educational Intelligence are generated from the same physician behavioral data — governed by the same consent architecture.

The HCP data industry is looking
in the rearview mirror.

The diagnostic decision is the
real commercial bottleneck.

The same data asset.
Two intelligence tracks.

The training data doesn't exist anywhere else.
It took 30 programs to build.

0 neurologists. 5 countries.

Diagnostic readiness map
for your disease area.

The HCP data industry is lookingin the rearview mirror.

The diagnostic decision is thereal commercial bottleneck.

The same data asset.Two intelligence tracks.

The training data doesn't exist anywhere else.It took 30 programs to build.

0 neurologists. 5 countries.

Diagnostic readiness mapfor your disease area.

The HCP data industry is looking
in the rearview mirror.

The diagnostic decision is the
real commercial bottleneck.

The same data asset.
Two intelligence tracks.

The training data doesn't exist anywhere else.
It took 30 programs to build.

Diagnostic readiness map
for your disease area.