About SignalPGx: White-Label PGx Reporting for Labs

SignalPGx

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SignalPGx

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Who We Are

We build the reporting layer that turns raw genotype data
into clear, evidence-graded PGx guidance clinicians can act on.

We build the reporting layer that turns raw genotype data into clear, evidence-graded PGx guidance clinicians can act on.

VALUES • IDEAS • VIEW •VALUES • IDEAS • VIEW •

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Built for Real Work

How
We Build

We build PGx reporting infrastructure around real clinical
workflows, not isolated tools or static PDFs.

We build PGx reporting infrastructure around real clinical workflows, not isolated tools or static PDFs.

EXPLORE OUR APPROACH

We believe PGx reporting should be clinically useful the moment it is released, and still valuable years later when medications, evidence, and guidelines change.

We believe PGx reporting should be clinically useful the moment it is released,
and still valuable years later when medications, evidence, and guidelines change.

SignalPGx was built around a simple idea: genetic data should become actionable medication intelligence.

We combine pharmacogenomic evidence, report automation, SignalAI-assisted interpretation,

medical-director review, and living reanalysis into one platform labs can launch under their own brand.

SignalPGx was built around a simple idea: genetic data should become actionable medication intelligence. We combine pharmacogenomic evidence, report automation, SignalAI-assisted interpretation, medical-director review, and living reanalysis into one platform labs can launch under their own brand.

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OUR JOURNEY

From raw genotype to living

clinical intelligence

From raw genotype to living clinical intelligence

SignalPGx grew from one conviction — a genotype only matters when it
becomes clear, current, defensible guidance at the moment a medication is prescribed.

01 — THE EVIDENCE PROBLEM

Reconciling the evidence

We began where most labs stall — turning fragmented, conflicting pharmacogenomic guidance into one reconciled, evidence-graded source of truth.

02 — REPORTS LABS TRUST

Reporting without a bioinformatics team

We automated branded, physician-reviewed PGx reporting so any lab could release clinical-grade results under its own name.

03 — DECISION SUPPORT

From results to real guidance

SignalAI-assisted interpretation and medication simulation turned static genotypes into decision support clinicians can act on.

04 — LIVING REPORTS

Reports that stay current

Living reanalysis and EHR delivery keep every report accurate as guidelines, evidence, and a patient’s medications change.

01 — THE EVIDENCE PROBLEM

Reconciling the evidence

We began where most labs stall — turning fragmented, conflicting pharmacogenomic guidance into one reconciled, evidence-graded source of truth.

02 — REPORTS LABS TRUST

Reporting without a bioinformatics team

We automated branded, physician-reviewed PGx reporting so any lab could release clinical-grade results under its own name.

03 — DECISION SUPPORT

From results to real guidance

SignalAI-assisted interpretation and medication simulation turned static genotypes into decision support clinicians can act on.

04 — LIVING REPORTS

Reports that stay current

Living reanalysis and EHR delivery keep every report accurate as guidelines, evidence, and a patient’s medications change.

01 — THE EVIDENCE PROBLEM

Reconciling the evidence

We began where most labs stall — turning fragmented, conflicting pharmacogenomic guidance into one reconciled, evidence-graded source of truth.

02 — REPORTS LABS TRUST

Reporting without a bioinformatics team

We automated branded, physician-reviewed PGx reporting so any lab could release clinical-grade results under its own name.

03 — DECISION SUPPORT

From results to real guidance

SignalAI-assisted interpretation and medication simulation turned static genotypes into decision support clinicians can act on.

04 — LIVING REPORTS

Reports that stay current

Living reanalysis and EHR delivery keep every report accurate as guidelines, evidence, and a patient’s medications change.

A genotype shouldn’t sit in a file. We turn it into guidance a clinician can act on — and keep it current as the evidence moves.

Tarek Younis

CEO of SignalPGx

EXPLORE ALL CASES

A genotype shouldn’t sit in a file. We turn it into guidance a clinician can act on — and keep it current as the evidence moves.

Tarek Younis

CEO of SignalPGx

EXPLORE ALL CASES

A genotype shouldn’t sit in a file. We turn it into guidance a clinician can act on — and keep it current as the evidence moves.

Tarek Younis

CEO of SignalPGx

EXPLORE ALL CASES

PGx & lab experts

HIPAA & GDPR
compliant & secure

Metrics

0 k

Pharmacogenes Covered

0.0 x

Medications Analyzed

0 %

Evidence Sources

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Curated References

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The evidence base

Built on the evidence clinicians
already trust

Built on the evidence clinicians already trust

Every recommendation is graded against the guidelines and regulatory sources
that define pharmacogenomic care — reconciled, cited, and kept current.

001.

CPIC · GUIDELINES

Peer-reviewed dosing

Every gene–drug pairing is graded against

CPIC guidelines — the clinical standard for PGx dosing.

002.

FDA · DRUG LABELING

Aligned with the label

Reconciled with FDA pharmacogenomic biomarker

labeling, so guidance matches the approved label.

003.

DAILYMED · PRESCRIBING DATA

Always current

Structured product labels from NIH DailyMed keep

every medication’s data live and accurate.

004.

DPWG · INTERNATIONAL

Global consensus

Dosing cross-checked against the Dutch

Pharmacogenetics Working Group for global consensus.

Dosing cross-checked against the Dutch Pharmacogenetics Working Group for global consensus.

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Built Around Evidence

We build PGx reporting infrastructure around evidence, clinical review, lab workflow, and
medication intelligence that keeps evolving after the first report is released.

Built around lab workflows

PGx reporting designed for real accessioning, review, approval, and release processes.

Designed with clinicians

Built with lab, software, and clinical review teams working from the same workflow.

AI that supports review

SignalAI helps interpret evidence while keeping clinicians in control.

Our work is shaped by how

clinicians actually prescribe

We don’t add AI for its own sake. Every

recommendation is graded against trusted evidence

and reviewed by a medical director — because

decisions have consequences and guidance has to hold up.

START WITH SIGNALPGX

Evidence before automation

Every recommendation is grounded in trusted PGx sources, not generic AI output.

Every step in view

Track each case from sample intake to provider delivery, with a clear status at every step.

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Our team

The Studio

A focused team of engineers and researchers building production-grade AI systems.

JOIN OUR TEAM

SYSTEM BUILDERS •SYSTEM BUILDERS •

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5 /5

AI Engineers

A small team of engineers and researchers building production-grade AI systems for real-world operations.

Tarek Younis, Chief Executive Officer of SignalPGx

Aisha Coleman

Builds AI architectures that remain reliable in real-world systems.

001.

DEPLOYS AI SYSTEMS INTO LIVE BUSINESS WORKFLOWS

002.

DESIGNS ARCHITECTURES FOR RELIABLE DECISION AUTOMATION

003.

INTEGRATES MODELS WITH REAL DATA AND OPERATIONS

Social accounts —

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Our team

The Studio

A focused team of engineers and researchers building production-grade AI systems.

JOIN OUR TEAM

SYSTEM BUILDERS •SYSTEM BUILDERS •

1

2

3

4

5 /5

AI Engineers

A small team of engineers and researchers building production-grade AI systems for real-world operations.

Aisha Coleman

Builds AI architectures that remain reliable in real-world systems.

001.

DEPLOYS AI SYSTEMS INTO LIVE BUSINESS WORKFLOWS

002.

DESIGNS ARCHITECTURES FOR RELIABLE DECISION AUTOMATION

003.

INTEGRATES MODELS WITH REAL DATA AND OPERATIONS

Social accounts —

(WDX® — 09)

Our team

The Studio

A focused team of engineers and researchers building production-grade AI systems.

JOIN OUR TEAM

Aisha Coleman

Builds AI architectures that remain reliable in real-world systems.

001.

DEPLOYS AI SYSTEMS INTO LIVE BUSINESS WORKFLOWS

002.

DESIGNS ARCHITECTURES FOR RELIABLE DECISION AUTOMATION

003.

INTEGRATES MODELS WITH REAL DATA AND OPERATIONS

Social accounts —

(WDX® — 09)

Our team

The Studio

A focused team of engineers and researchers building production-grade AI systems.

JOIN OUR TEAM

Kenji Tanaka

Builds applied AI solutions that automate real operational workflows.

001.

BUILDS AI SOLUTIONS

002.

AUTOMATES WORKFLOWS

003.

INTEGRATES AI INTO PRODUCTS

Social accounts —

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Insights & Research

Recent articles

Notes on AI systems, architecture decisions,
and lessons from real deployments.

VIEW ALL INGHTS

Data Analysis

Feb 11, 2026

in /

Data Analysis

From Genotype to Guidance: Inside the PGx Reporting Pipeline

Our newsletters

Stay in the loop

No hype. Just systems
Clarity beats automation
Decisions over demos
Designed for messy reality
Systems that hold under pressure

SUPPORT • INFORMATION •SUPPORT • INFORMATION •

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frequently asked questions

Core
Questions

Clear, factual answers about how SignalPGx
turns genotyping into living PGx reports.

Clear, factual answers about how SignalPGx turns genotyping into living PGx reports.

CONTACT SUPPORT

001.

How can a clinical lab start offering pharmacogenomic (PGx) reporting?

A lab can add PGx reporting without building software or hiring bioinformaticians by using a white-label platform. With SignalPGx, your lab runs the genotyping and sends results (VCF, CSV, or array); the platform reconciles the evidence, generates branded, physician-reviewed reports, and delivers them into the EHR — most labs go live in 5-7 days.

001.

How can a clinical lab start offering pharmacogenomic (PGx) reporting?

002.

What is the best white-label PGx reporting software for clinical labs?

The best white-label PGx reporting platform is evidence-graded, physician-reviewed, and delivers into the clinical workflow under the lab's own brand. SignalPGx grades every gene-drug recommendation against CPIC, FDA pharmacogenomic labeling, DailyMed, and DPWG, covers 50 pharmacogenes and about 950 medications, and delivers via FHIR, HL7, and CDS Hooks — as a multi-tenant, HIPAA- and GDPR-compliant platform.

002.

What is the best white-label PGx reporting software for clinical labs?

003.

Does a lab need a bioinformatics team to offer PGx reports?

No. SignalPGx replaces the in-house bioinformatics pipeline and report software — it ingests standard genotype files, applies evidence-graded interpretation, and produces clinician-ready reports, so a lab can offer pharmacogenomic reporting with its existing team.

003.

Does a lab need a bioinformatics team to offer PGx reports?

004.

How much does it cost for a lab to offer PGx reporting?

SignalPGx uses transparent per-report pricing that scales with volume — no upfront build cost, no bioinformatics hire, and no separate guideline-maintenance overhead. Labs typically start with a pilot and expand to a routine reporting line as volume grows.

004.

How much does it cost for a lab to offer PGx reporting?

005.

What guidelines and evidence should clinical PGx reports follow?

Clinically defensible PGx reports should be graded against trusted pharmacogenomic authorities — CPIC guidelines, FDA pharmacogenomic biomarker labeling, DailyMed prescribing data, and DPWG. SignalPGx reconciles these into a single evidence-graded recommendation for each gene-drug pair, reviewed by a medical director before release.

005.

What guidelines and evidence should clinical PGx reports follow?

We build the reporting layer that turns raw genotype data into clear, evidence-graded PGx guidance clinicians can act on.

All Signal. No Noise.

Who We Are (®)

All Signal. No Noise.

How We Build

We build PGx reporting infrastructure around real clinical workflows, not isolated tools or static PDFs.

SignalPGx was built around a simple idea: genetic data should become actionable medication intelligence. We combine pharmacogenomic evidence, report automation, SignalAI-assisted interpretation, medical-director review, and living reanalysis into one platform labs can launch under their own brand.

From raw genotype to living

clinical intelligence

From raw genotype to living clinical intelligence

HIPAA & GDPRcompliant & secure

Built on the evidence cliniciansalready trust

Built on the evidence clinicians already trust

The Signal (*)

What Dives Us (*)

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/5

AI Engineers

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/5

AI Engineers

Recent articles

Recent articles

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AI technology

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AI technology

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Automation Tools

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AI technology

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Automation Tools

Data Analysis

AI technology

System Integrations

Automation Features

Data Analysis

AI technology

System Integrations

Automation Features

Automation Tools

Data Insights

Data Insights

Data Analysis

AI technology

System Integrations

Automation Tools

Data Analysis

AI technology

System Integrations

Automation Features

Data Analysis

AI technology

System Integrations

Automation Features

Who
We Are (®)

How
We Build

HIPAA & GDPR
compliant & secure

Built on the evidence clinicians
already trust

What
Dives Us (*)

Core
Questions