Evidence-first. Cost-second.

AI Prescription Intelligence

AI that catches unsafe and wasteful prescriptions before they're paid. The independent clinical layer payers have never had.

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Patient-first intelligence. Payer-grade precision.
Before The Claim Clears

Every prescription checked against the full clinical picture

EHR data, claims history, lab results, and medication profiles — analyzed in real time.

$100B
Annual Waste
6B+
Rx Per Year
Built by
Johns Hopkins UniversityHarvard University

The Prescription Problem

$528BAnnual U.S. Drug Spend
$100BWasted Annually
6B+Prescriptions Per Year
39/wkPrior Auths Per Doctor
The Solution

An independent clinical layer between prescribing and payment.

Axeris checks every prescription against the patient's full clinical picture before the claim is paid. If it's appropriate, it flows through. If it's unsafe or wasteful, it's flagged with a clear explanation for human review.

  • Doctor writes e-prescription, claim hits insurer environment as usual.
  • Axeris runs checks against EHR data, claims history, labs, and medication profiles.
  • Green flag: appropriate — let it pass. Yellow: safer or cheaper equivalent exists. Red: high risk, flagged for review.
See How It Works
Green — Appropriate

Matches diagnosis, safe dose, no interactions. Claim flows through automatically.

Yellow — Equivalent Exists

Likely okay, but a safer or cheaper equivalent exists with validated therapeutic equivalence.

Red — High Risk

Inconsistent, clinically inappropriate, or clearly wasteful. Flagged with evidence for human review.

Data Points
50+
Accuracy
99.4%
How The AI Works

Three engines working together

📐

Rules & Guideline Engine

Clinical guidelines, FDA drug labels, dose/duration standards, interaction databases, plan policies, titration safety checks, and polypharmacy risk scoring. Every flag includes the rule violated, explanation, and source link.

🧠

ML & Anomaly Detection

Learns normal prescribing patterns, identifies high-performer patterns, detects unusual refill intervals, flags known abuse patterns, and identifies polypharmacy clusters. Assigns risk scores and flags outliers.

🧬

Patient-Specific Reasoning

Combines EHR + claims to consider diagnoses, lab results, genetics, prior drug failures, allergies, adherence behavior, and active medication count. Prevents false positives and ensures safe alternatives.

What we analyze

EHR DataClaims HistoryLab ResultsMedication HistoryGenetic DataFormulary DesignOrgan FunctionTitration RequirementsDrug InteractionsAdherence Patterns
Who We Serve

Built for payers who want independent verification

Axeris integrates into your existing claims workflow. Zero risk — we take a percentage of verified savings. If we don't save money, you don't pay.

🏢
Self-Funded Employers

65% of commercially insured Americans. Directly bear the cost. No independent tool doing this today.

🏥
Health Insurers

Thin margins, regulatory pressure. Need transparent, evidence-backed utilization decisions.

⚕️
Health Systems & Provider Groups

Reduce inappropriate prescribing, protect patients, and minimize liability.

👁️Shadow Mode💡Advisory Mode⚙️Policy Mode
Ax
EHR
Claims
Labs
Formulary
Genetics
Rx History
Why Axeris

We don't push cheap drugs. We stop unsafe ones.

Axeris is the independent clinical and financial intelligence layer that payers have never had. Aligned with patients and payers — not rebates.

🛡️

Not a PBM

We don't make money on rebates or spread pricing. We're fully aligned with payer and patient value.

Not a denial tool

We flag for human review. Evidence-first, cost-second. Conservative thresholds. Clinically validated only.

Proactive, not retrospective

Unlike MTM programs that review after the fact, we catch problems before the claim clears.

⚖️

True equivalence required

Equal potency, bioavailability, formulation, titration, and clinical effectiveness. FDA Orange Book backed.

The Team

Built by people who understand both sides

Adan Eftekhari

Adan Eftekhari

Harvard University

Biology & Econ

Kareem Malhis

Kareem Malhis

Johns Hopkins University

Electrical & Computer Engineering

Khartik Uppalapati

Khartik Uppalapati

Strategy & Operations

Ziad Ghanem

Ziad Ghanem, PharmD — Advisor

CEO of TerrAscend, Former President at Parallel

20+ years healthcare and pharmacy leadership at Walgreens Boots Alliance. Doctor of Pharmacy, University of Houston.

Get Started

Catch the waste.
Protect the patient.

Performance-based pricing. If we don't save money, you don't pay. Zero risk, aligned incentives, measurable ROI.

Try Live DemoNo commitment required