SignalPGx

INSTAGRAM

X/TWITTER

(spx® — 01)

PGX REPORTING SYSTEM

Pharmacogenomic AI

for modern labs.

for modern labs

SignalPGx organizes genotype data, medication history, and clinical evidence into physician-ready PGx reports, powered by our state-of-the-art Medication Intelligence Simulation for drug response, risk stratification, dosing insights, and personalized prescribing medication support.

SignalPGx organizes genotype data, medication history, and clinical evidence into physician-ready PGx reports,
powered by our state-of-the-art Medication Intelligence Simulation for drug response, risk stratification, dosing insights, and personalized prescribing medication support.

SignalPGx organizes genotype data, medication history, and clinical evidence into physician-ready PGx reports,

powered by our state-of-the-art Medication Intelligence Simulation for drug response, risk stratification, dosing insights, and personalized prescribing medication support.

EXPLORE OUR APPROACH

WATCH OVERVIEW

1:42 min watch

Pharmacogenomic intelligence
Evidence-backed reports
Precision prescribing support
Genotype to guidance
Medication response insights
Clinical decision support

PGx & lab experts

HIPAA & GDPR

compliant & secure

PGx & lab experts

HIPAA & GDPR

compliant & secure

Talk to a PGx expert

about your lab

+1 (833) 838-6500

Scan to book a call

with a PGx specialist

Scan to book a call

with a PGx specialist

(spx® — 02)

HOW WE THINK ABOUT PGX

Most PGx reporting systems are just static pdf and too complex. We designed a system with state of the art reporting from over 20+ sources globally and first of its kind Medication intelligence simulation.

We don’t start with models. We start with how decisions are made,
where processes fail, and how systems behave under pressure.

We don’t start with models. We start with how

decisions are made, where processes fail, and how

systems behave under pressure.

Tarek Younis

Principal AI Architect

DESIGN • BUILD • DEPLOY • DESIGN • BUILD • DEPLOY •

1

2

3

4 /4

(WDX® — 03)

OUR SERVICES

PGx Reporting Services

Four core capabilities designed to help labs launch, scale, and deliver physician-ready pharmacogenomic reports.

EXPLORE PLATFORM

001.

PHARMACOGENOMIC INTELLIGENCE LAYER

From Genotype to Evidence-Graded PGx Reports

SignalPGx turns VCF, Agena MassARRAY plates, flexible instrument CSVs, and custom lab files into branded, evidence-graded PGx reports with SignalAI interpretation, medication intelligence, and medical-director review built in.

WHAT SIGNALPGx GENERATES

001.

Branded summary & comprehensive PGx reports

002.

50 pharmacogenes and ~950 guided medications

003.

15+ evidence sources fused into one intelligence graph

004.

Medical-director review, release and audit trail

002.

MEDICATION INTELLIGENCE SIMULATION

Test Medication Risk Before It Reaches the Patient

SignalPGx uses SignalAI and the Medication Intelligence Graph to model add, remove, or swap scenarios, recompute phenoconversion, detect drug-drug-gene interactions, and surface genotype-aware safer alternatives.

WHAT SIGNALPGx GENERATES

001.

Add / remove / swap medication scenarios

002.

Phenoconversion and drug-drug-gene interactions

003.

Genotype-aware dosing and safer alternatives

004.

SignalAI cited review with evidence refusal guardrails

003.

WHITE-LABEL LAB INFRASTRUCTURE

Launch Branded PGx Reporting in 5–7 Days

SignalPGx gives labs the reporting engine, file intake layer, SignalAI review workflow, branded report suite, and provider delivery infrastructure needed to launch PGx under their own brand without months of software buildout.

WHAT SIGNALPGx GENERATES

001.

Multi-format PGx engine: VCF, Agena, CSV, XLSX, JSON, HL7/FHIR & custom imports

002.

Go live in 5–7 days, not months

003.

API, EHR, HL7 ORU, FHIR R4 & CDS Hooks integrations

004.

Branded provider, patient and living passport delivery

004.

LIVING EVIDENCE INFRASTRUCTURE

PGx Reports That Stay Alive After Release

SignalPGx stores the genotype as a permanent clinical asset, then continuously re-evaluates it when guidance changes, medications are added, or new risks emerge — raising alerts, updating insights, and connecting results back into clinical workflows.

WHAT SIGNALPGx GENERATES

001.

Living reanalysis when guidance or medications change

002.

CPIC, DPWG, FDA, PharmGKB & multi-source evidence graph

003.

FHIR R4, HL7 ORU & CDS Hooks for EHR workflows

004.

Audit trails, QC review, RBAC & medical-director release.

(WDX® — 03)

OUR SERVICES

PGx Reporting Services

Four core capabilities designed to help labs launch, scale, and deliver physician-ready pharmacogenomic reports.

EXPLORE PLATFORM

001.

PHARMACOGENOMIC INTELLIGENCE LAYER

From Genotype to Evidence-Graded PGx Reports

WHAT SIGNALPGx GENERATES

001.

Branded summary & comprehensive PGx reports

002.

50 pharmacogenes and ~950 guided medications

003.

15+ evidence sources fused into one intelligence graph

004.

Medical-director review, release and audit trail

002.

MEDICATION INTELLIGENCE SIMULATION

Test Medication Risk Before It Reaches the Patient

WHAT SIGNALPGx GENERATES

001.

Add / remove / swap medication scenarios

002.

Phenoconversion and drug-drug-gene interactions

003.

Genotype-aware dosing and safer alternatives

004.

SignalAI cited review with evidence refusal guardrails

003.

WHITE-LABEL LAB INFRASTRUCTURE

Launch Branded PGx Reporting in 5–7 Days

WHAT SIGNALPGx GENERATES

001.

Multi-format PGx engine: VCF, Agena, CSV, XLSX, JSON, HL7/FHIR & custom imports

002.

Go live in 5–7 days, not months

003.

API, EHR, HL7 ORU, FHIR R4 & CDS Hooks integrations

004.

Branded provider, patient and living passport delivery

004.

LIVING EVIDENCE INFRASTRUCTURE

PGx Reports That Stay Alive After Release

WHAT SIGNALPGx GENERATES

001.

Living reanalysis when guidance or medications change

002.

CPIC, DPWG, FDA, PharmGKB & multi-source evidence graph

003.

FHIR R4, HL7 ORU & CDS Hooks for EHR workflows

004.

Audit trails, QC review, RBAC & medical-director release.

(WDX® — 03)

OUR SERVICES

PGx Reporting Services

Сore capabilities used to design, deploy, and scale AI systems.

EXPLORE PLATFORM

001.

PHARMACOGENOMIC INTELLIGENCE LAYER

From Genotype to Evidence-Graded PGx Reports

001.

Branded summary & comprehensive PGx reports

002.

50 pharmacogenes and ~950 guided medications

003.

15+ evidence sources fused into one intelligence graph

004.

Medical-director review, release and audit trail

002.

MEDICATION INTELLIGENCE SIMULATION

Test Medication Risk Before It Reaches the Patient

001.

Add / remove / swap medication scenarios

002.

Phenoconversion and drug-drug-gene interactions

003.

Genotype-aware dosing and safer alternatives

004.

SignalAI cited review with evidence refusal guardrails

003.

WHITE-LABEL LAB INFRASTRUCTURE

Launch Branded PGx Reporting in 5–7 Days

001.

Multi-format PGx engine: VCF, Agena, CSV, XLSX, JSON, HL7/FHIR & custom imports

002.

Go live in 5–7 days, not months

003.

API, EHR, HL7 ORU, FHIR R4 & CDS Hooks integrations

004.

Branded provider, patient and living passport delivery

004.

LIVING EVIDENCE INFRASTRUCTURE

PGx Reports That Stay Alive After Release

001.

Living reanalysis when guidance or medications change

002.

CPIC, DPWG, FDA, PharmGKB & multi-source evidence graph

003.

FHIR R4, HL7 ORU & CDS Hooks for EHR workflows

004.

Audit trails, QC review, RBAC & medical-director release.

PLAN • BUILD • RUN •PLAN • BUILD • RUN •

1

2

3

4 /4

(WDX® — 03)

OUR SERVICES

PGx Reporting Services

Four core capabilities designed to help labs launch, scale, and deliver physician-ready pharmacogenomic reports.

EXPLORE PLATFORM

001.

PHARMACOGENOMIC INTELLIGENCE LAYER

From Genotype to Evidence-Graded PGx Reports

WHAT SIGNALPGx GENERATES

001.

Branded summary & comprehensive PGx reports

002.

50 pharmacogenes and ~950 guided medications

003.

15+ evidence sources fused into one intelligence graph

004.

Medical-director review, release and audit trail

002.

MEDICATION INTELLIGENCE SIMULATION

Test Medication Risk Before It Reaches the Patient

WHAT SIGNALPGx GENERATES

001.

Add / remove / swap medication scenarios

002.

Phenoconversion and drug-drug-gene interactions

003.

Genotype-aware dosing and safer alternatives

004.

SignalAI cited review with evidence refusal guardrails

003.

WHITE-LABEL LAB INFRASTRUCTURE

Launch Branded PGx Reporting in 5–7 Days

We design and build custom AI systems tailored to your operations — from internal AI tools to decision-support platforms used by teams daily.

WHAT SIGNALPGx GENERATES

001.

Multi-format PGx engine: VCF, Agena, CSV, XLSX, JSON, HL7/FHIR & custom imports

002.

Go live in 5–7 days, not months

003.

API, EHR, HL7 ORU, FHIR R4 & CDS Hooks integrations

004.

Branded provider, patient and living passport delivery

004.

LIVING EVIDENCE INFRASTRUCTURE

PGx Reports That Stay Alive After Release

WHAT SIGNALPGx GENERATES

001.

Living reanalysis when guidance or medications change

002.

CPIC, DPWG, FDA, PharmGKB & multi-source evidence graph

003.

FHIR R4, HL7 ORU & CDS Hooks for EHR workflows

004.

Audit trails, QC review, RBAC & medical-director release.

PLAN • BUILD • RUN •PLAN • BUILD • RUN •

1

2

3

4 /4

(WDX® — 03)

PGX REPORTING SERVICES

Our Services

Four core capabilities designed to help labs launch, scale, and deliver physician-ready pharmacogenomic reports.

EXPLORE PLATFORM

001.

PHARMACOGENOMIC INTELLIGENCE LAYER

From Genotype to Evidence-Graded PGx Reports

WHAT SIGNALPGx GENERATES

001.

Branded summary & comprehensive PGx reports

002.

50 pharmacogenes and ~950 guided medications

003.

15+ evidence sources fused into one intelligence graph

004.

Medical-director review, release and audit trail

002.

MEDICATION INTELLIGENCE SIMULATION

Test Medication Risk Before It Reaches the Patient

WHAT SIGNALPGx GENERATES

001.

Add / remove / swap medication scenarios

002.

Phenoconversion and drug-drug-gene interactions

003.

Genotype-aware dosing and safer alternatives

004.

SignalAI cited review with evidence refusal guardrails

003.

WHITE-LABEL LAB INFRASTRUCTURE

Launch Branded PGx Reporting in 5–7 Days

We design and build custom AI systems tailored to your operations — from internal AI tools to decision-support platforms used by teams daily.

WHAT SIGNALPGx GENERATES

001.

Multi-format PGx engine: VCF, Agena, CSV, XLSX, JSON, HL7/FHIR & custom imports

002.

Go live in 5–7 days, not months

003.

API, EHR, HL7 ORU, FHIR R4 & CDS Hooks integrations

004.

Branded provider, patient and living passport delivery

004.

LIVING EVIDENCE INFRASTRUCTURE

PGx Reports That Stay Alive After Release

WHAT SIGNALPGx GENERATES

001.

Living reanalysis when guidance or medications change

002.

CPIC, DPWG, FDA, PharmGKB & multi-source evidence graph

003.

FHIR R4, HL7 ORU & CDS Hooks for EHR workflows

004.

Audit trails, QC review, RBAC & medical-director release.

(spx® — 04)

DEFENSIBILITY LAYER

The SignalPGx Moat

Most PGx platforms generate static reports. SignalPGx compounds into a living
intelligence layer built from evidence, outcomes, alerts, integrations, and reusable lab infrastructure.

Most PGx platforms generate static reports. SignalPGx compounds into a living

intelligence layer built from evidence, outcomes, alerts, integrations, and reusable lab infrastructure.

2025

Medication Intelligence Graph

A clinical evidence graph fusing CPIC, DPWG, FDA labels, PharmGKB, RxNorm, PharmVar, ClinVar, ClinGen, population frequencies, adverse-event signals, and drug–gene relationships into one PGx intelligence layer.

Industry

15+ integrated evidence sources

SERVICE USED

Evidence Interpretation, Report Automation

Challenge

SignalAI + RAG + knowledge graph + living reanalysis

Technology Stacks

CPIC

Logix

FDA

RxNorm

Synth

HGNC

Instead of adding more software, they redesigned our workflows. Automation now handles work that once required entire teams.

Daniella Mercer

Laboratory Director

0 %

Faster tasks planning

0 +

decisions automated monthly

0 X

Route planning speed

2025

Medication Intelligence Graph

Industry

15+ integrated evidence sources

SERVICE USED

Evidence Interpretation, Report Automation

Challenge

Turnaround slowed as report volume increased

Technology Stacks

Instead of adding more software, they redesigned our workflows. Automation now handles work that once required entire teams.

Daniella Mercer

Laboratory Director

0 %

Faster tasks planning

0 +

decisions automated

0 X

Route planning

2025

Medication Intelligence Graph

SignalPGx fuses CPIC, DPWG, FDA labels, PharmGKB, PharmVar, ClinVar and RxNorm into one clinical evidence graph behind every medication recommendation.

Industry

15+ integrated evidence sources

SERVICES

Evidence Interpretation, Report Automation

Challenge

Turnaround slowed as report volume increased

Technology Stacks

Instead of adding more software, they redesigned our workflows. Automation now handles work that once required entire teams.

Daniella Mercer

Laboratory Director

0H +

decisions automated

0 X

Route planning speed

2025

Medication Intelligence Graph

SignalPGx fuses CPIC, DPWG, FDA labels, PharmGKB, PharmVar, ClinVar and RxNorm into one clinical evidence graph behind every medication recommendation.

Industry

15+ integrated evidence sources

SERVICE USED

Evidence Interpretation, Report Automation

Challenge

Turnaround slowed as report volume increased

Technology Stacks

Instead of adding more software, they redesigned our workflows. Automation now handles work that once required entire teams.

Daniella Mercer

Laboratory Director

0 %

Faster tasks planning

0 +

decisions automated

0 X

Route planning speed

2025

Medication Intelligence Graph

SignalPGx fuses CPIC, DPWG, FDA labels, PharmGKB, PharmVar, ClinVar and RxNorm into one clinical evidence graph behind every medication recommendation.

Industry

15+ integrated evidence sources

SERVICE USED

Evidence Interpretation, Report Automation

Challenge

Turnaround slowed as report volume increased

Technology Stacks

Instead of adding more software, they redesigned our workflows. Automation now handles work that once required entire teams.

Daniella Mercer

Laboratory Director

0 %

Faster tasks planning

0 +

decisions automated

0 X

Route planning

(spx® — 05)

More cases

VIEW ALL CASES

Medication Intelligence Graph

2026

Medication Intelligence Graph

2026

SignalAI Clinical Assistant

2025

SignalAI Clinical Assistant

2025

Medication Simulator

2025

Medication Simulator

2025

Living Reanalysis & Alerts

2026

Living Reanalysis & Alerts

2026

PGx Revenue Defense Engine

2026

PGx Revenue Defense Engine

2026

EHR + CDS Integrations

2026

EHR + CDS Integrations

2026

White-Label Reports

2026

White-Label Reports

2026

We reconcile CPIC, FDA labeling and multi-source evidence into a single graded interpretation, so every gene-drug recommendation traces to its source and version.

Play

Inside SignalPGx

1:42 min overview

Play

Inside SignalPGx

1:42 min overview

ACTIVITY

Operational
Decisions

Automated decisions

across deployed AI systems

+15%

jun.

+35%

jul.

+53%

aug.

Predictability
over heroics.

Systems beat intuition — every time.

Medication Intelligence Graph

Living Reanalysis & Alerts

PGx Revenue Defense Engine

HelioDesk

Platforms

HelioDesk

Platforms

HelioDesk

Platforms

40+ teams

Be the next success story

Benchmark

System
Recovery

Faster operational recovery

To launch branded

PGx REPORTING

after AI decision automation

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

ANALYZE • BUILD • OPERATE •ANALYZE • BUILD • OPERATE •

1

2

3

4 /4

(SPX® — 06)

Process

Execution Flow

A structured process used to design, deploy, and scale AI systems across real operational environments.

START WITH SIGNALPGX

001.

Audit

System Audit & Discovery

We analyze how the system actually operates across workflows, data, and decision points. This step identifies constraints and opportunities before any AI or automation is introduced.

WHAT SIGNALPGx GENERATES

001.

Branded summary & comprehensive PGx reports and handoffs

002.

Data sources, ownership, and consistency

003.

15+ evidence sources fused into one intelligence graph

004.

Existing tools, integrations, and constraints

Technology Stacks

CPIC

RxNorm

Synth

FDA

002.

AUTOMATION

Automation Design & Agents

We design intelligent automation systems and AI agents tailored to your operational workflows. This step translates audit insights into executable automation architecture and controlled agent behavior.

WHAT SIGNALPGx GENERATES

001.

Automation-ready workflows and task clusters

002.

Decision trees, escalation paths, and guardrails

003.

System APIs and integration surface

004.

Human-in-the-loop control mechanisms

Technology Stacks

Kortx

Strat

HGNC

CPIC

003.

ARCHITECTURE

AI Strategy & Technical Architecture

We define the long-term AI direction aligned with business priorities. This step ensures that every AI initiative fits within a scalable, secure, and economically viable architecture.

WHAT SIGNALPGx GENERATES

001.

Strategic objectives and ROI potential

002.

Data infrastructure maturity

003.

Build vs. buy vs. hybrid scenarios

004.

Governance, compliance, and risk models

Technology Stacks

CPIC

Nexis

Atica

LOINC

004.

INFRASTRUCTURE

Data Infrastructure & Foundations

We build the structured data layer required for reliable AI systems. This step transforms fragmented data into consistent, model-ready infrastructure.

WHAT SIGNALPGx GENERATES

001.

Data sources and ingestion pipelines

002.

Data quality, gaps, and normalization

003.

Storage architecture and retrieval performance

004.

Security, privacy, and access control

Technology Stacks

Logix

Axiom

Lumen

RxNorm

(SPX® — 06)

Process

Execution Flow

A structured process used to design, deploy, and scale AI systems across real operational environments.

START WITH SIGNALPGX

001.

Audit

System Audit & Discovery

We analyze how the system actually operates across workflows, data, and decision points. This step identifies constraints and opportunities before any AI or automation is introduced.

WHAT SIGNALPGx GENERATES

001.

Branded summary & comprehensive PGx reports and handoffs

002.

Data sources, ownership, and consistency

003.

15+ evidence sources fused into one intelligence graph

004.

Existing tools, integrations, and constraints

Technology Stacks

CPIC

RxNorm

Synth

FDA

ANALYZE • BUILD • OPERATE •ANALYZE • BUILD • OPERATE •

1

2

3

4 /4

002.

AUTOMATION

Automation Design & Agents

WHAT SIGNALPGx GENERATES

001.

Automation-ready workflows and task clusters

002.

Decision trees, escalation paths, guardrails

003.

System APIs and integration surface

004.

Human-in-the-loop control mechanisms

Technology Stacks

Kortx

Strat

HGNC

CPIC

ANALYZE • BUILD • OPERATE •ANALYZE • BUILD • OPERATE •

1

2

3

4 /4

003.

ARCHITECTURE

AI Strategy & Technical Architecture

We define the long-term AI direction aligned with business priorities. This step ensures that every AI initiative fits within a scalable, secure, and economically viable architecture.

WHAT SIGNALPGx GENERATES

001.

Strategic objectives and ROI potential

002.

Data infrastructure maturity

003.

Build vs. buy vs. hybrid scenarios

004.

Governance, compliance, and risk models

Technology Stacks

CPIC

Nexis

Atica

LOINC

ANALYZE • BUILD • OPERATE •ANALYZE • BUILD • OPERATE •

1

2

3

4 /4

004.

INFRASTRUCTURE

Data Infrastructure & Foundations

We build the structured data layer required for reliable AI systems. This step transforms fragmented data into consistent, model-ready infrastructure.

WHAT SIGNALPGx GENERATES

001.

Data sources and ingestion pipelines

002.

Data quality, gaps, and normalization

003.

Storage architecture and retrieval performance

004.

Security, privacy, and access control

Technology Stacks

Logix

Axiom

Lumen

RxNorm

ANALYZE • BUILD • OPERATE •ANALYZE • BUILD • OPERATE •

1

2

3

4 /4

(SPX® — 06)

Process

Execution Flow

A structured process used to design, deploy, and scale AI systems across operational environments.

START WITH SIGNALPGX

001.

Audit

System Audit & Discovery

We analyze workflows, data, and decision points to identify constraints and opportunities before implementation begins.

001.

Branded summary & comprehensive PGx reports and handoffs

002.

Data sources, ownership, and consistency

003.

15+ evidence sources fused into one intelligence graph

004.

Tools, integrations, and constraints

Technology Stacks

ANALYZE • BUILD • OPERATE •ANALYZE • BUILD • OPERATE •

1

2

3

4 /4

002.

AUTOMATION

Automation Design & Agents

We design AI agents and automation systems tailored to your workflows, turning audit insights into practical automation architecture.

001.

Automation-ready workflows and task clusters

002.

Decision trees, and guardrails

003.

System APIs and integration surface

004.

Human-in-the-loop control mechanisms

Technology Stacks

ANALYZE • BUILD • OPERATE •ANALYZE • BUILD • OPERATE •

1

2

3

4 /4

003.

ARCHITECTURE

AI Strategy & Technical Architecture

We define a long-term AI strategy aligned with business goals, ensuring every initiative supports scalable and sustainable growth.

001.

Strategic objectives and ROI potential

002.

Data infrastructure maturity

003.

Build vs. buy vs. hybrid scenarios

004.

Governance, compliance, and risk models

Technology Stacks

ANALYZE • BUILD • OPERATE •ANALYZE • BUILD • OPERATE •

1

2

3

4 /4

004.

INFRASTRUCTURE

Data Infrastructure & Foundations

We build the structured data layer required for reliable AI systems. We transform fragmented data into consistent, model-ready infrastructure.

001.

Data sources and ingestion pipelines

002.

Data quality, gaps, and normalization

003.

Storage architecture and performance

004.

Security, privacy, and access control

Technology Stacks

ANALYZE • BUILD • OPERATE •ANALYZE • BUILD • OPERATE •

1

2

3

4 /4

MAP • BUILD • RUN •MAP • BUILD • RUN •

1

2

3

4 /4

(SPX® — 06)

Process

Execution Flow

A structured process used to design, deploy, and scale AI systems across real operational environments.

START WITH SIGNALPGX

001.

Audit

System Audit & Discovery

We analyze workflows, data, and decision points to identify constraints and opportunities before implementation begins.

WHAT SIGNALPGx GENERATES

001.

Branded summary & comprehensive PGx reports and handoffs

002.

Data sources, ownership, and consistency

003.

15+ evidence sources fused into one intelligence graph

004.

Existing tools, integrations, and constraints

Technology Stacks

CPIC

RxNorm

Synth

FDA

002.

AUTOMATION

Automation Design & Agents

We design AI agents and automation systems tailored to your workflows, turning audit insights into practical automation architecture.

WHAT SIGNALPGx GENERATES

001.

Automation-ready workflows and task clusters

002.

Decision trees, escalation paths, and guardrails

003.

System APIs and integration surface

004.

Human-in-the-loop control mechanisms

Technology Stacks

Kortx

Strat

HGNC

CPIC

003.

ARCHITECTURE

AI Strategy & Technical Architecture

We define a long-term AI strategy aligned with business goals, ensuring every initiative supports scalable and sustainable growth.

WHAT SIGNALPGx GENERATES

001.

Strategic objectives and ROI potential

002.

Data infrastructure maturity

003.

Build vs. buy vs. hybrid scenarios

004.

Governance, compliance, and risk models

Technology Stacks

CPIC

Nexis

Atica

LOINC

004.

INFRASTRUCTURE

Data Infrastructure & Foundations

We build the structured data layer required for reliable AI systems. This step transforms fragmented data into consistent, model-ready infrastructure.

WHAT SIGNALPGx GENERATES

001.

Data sources and ingestion pipelines

002.

Data quality, gaps, and normalization

003.

Storage architecture and retrieval performance

004.

Security, privacy, and access control

Technology Stacks

Logix

Axiom

Lumen

RxNorm

MAP • BUILD • RUN •MAP • BUILD • RUN •

1

2

3

4 /4

(SPX® — 06)

Process

Execution Flow

A structured process used to design, deploy, and scale AI systems across real operational environments.

START WITH SIGNALPGX

001.

Audit

System Audit & Discovery

We analyze workflows, data, and decision points to identify constraints and opportunities before implementation begins.

WHAT SIGNALPGx GENERATES

001.

Branded summary & comprehensive PGx reports and handoffs

002.

Data sources, ownership, and consistency

003.

15+ evidence sources fused into one intelligence graph

004.

Existing tools, integrations, and constraints

Technology Stacks

CPIC

RxNorm

Synth

FDA

002.

AUTOMATION

Automation Design & Agents

We design AI agents and automation systems tailored to your workflows, turning audit insights into practical automation architecture.

WHAT SIGNALPGx GENERATES

001.

Automation-ready workflows and task clusters

002.

Decision trees, escalation paths, and guardrails

003.

System APIs and integration surface

004.

Human-in-the-loop control mechanisms

Technology Stacks

Kortx

Strat

HGNC

CPIC

003.

ARCHITECTURE

AI Strategy & Technical Architecture

We define a long-term AI strategy aligned with business goals, ensuring every initiative supports scalable and sustainable growth.

WHAT SIGNALPGx GENERATES

001.

Strategic objectives and ROI potential

002.

Data infrastructure maturity

003.

Build vs. buy vs. hybrid scenarios

004.

Governance, compliance, and risk models

Technology Stacks

CPIC

Nexis

Atica

LOINC

004.

INFRASTRUCTURE

Data Infrastructure & Foundations

We build the structured data layer required for reliable AI systems. This step transforms fragmented data into consistent infrastructure.

WHAT SIGNALPGx GENERATES

001.

Data sources and ingestion pipelines

002.

Data quality, gaps, and normalization

003.

Storage architecture and retrieval performance

004.

Security, privacy, and access control

Technology Stacks

Logix

Axiom

Lumen

RxNorm

What We Deliver
(®)

(spx® — 07)

SYSTEM OUTPUT

We design and build AI systems that operate
inside real workflows — from idea to production.

Operational AI Expertise

We specialize in AI systems designed for real operational environments — not experiments or isolated prototypes.

Operational AI Expertise

We specialize in AI systems designed for real operational environments — not experiments or isolated prototypes.

Operational AI Expertise

We build reliable AI systems for real-world operations.

Operational AI Expertise

We build reliable AI systems for real-world operations.

SignalPGx

Systems That Actually Ship

Our work focuses on production-ready AI tools that integrate with existing infrastructure and workflows.

Systems That Actually Ship

Our work focuses on production-ready AI tools that integrate with existing infrastructure and workflows.

Systems That Actually Ship

Production-ready AI tools built for existing systems and workflows.

Systems That Actually Ship

Production-ready AI tools built for existing systems and workflows.

Deep Technical Ownership

From architecture to deployment, our team builds and operates the systems we design.

Deep Technical Ownership

From architecture to deployment, our team builds and operates the systems we design.

Deep Technical Ownership

We build and operate every system we design.

Real Business Impact

Every system is built to improve measurable outcomes — operational speed, reliability, and decision quality.

Real Business Impact

Every system is built to improve measurable outcomes — operational speed, reliability, and decision quality.

Clear Collaboration

Transparent communication, defined milestones, and full visibility across every stage of the project.

Clear Collaboration

Transparent communication, defined milestones, and full visibility across every stage of the project.

Clear Collaboration

Transparent communication and full visibility at every stage.

Clear Collaboration

Transparent communication and full visibility at every stage.

(spx® — 08)

OUR JOURNEY

Engineering systems that turn

complex work into automation

Engineering systems
that turn complex work into automation

From early automation tools to building
production AI systems used by growing companies.

2018 — 2019

Small Team Beginnings

We started as a small engineering team focused on automation and internal tools.

2019 — 2021

First AI Projects

Early client projects focused on AI-powered workflow automation.

2021 — 2023

Systems Expansion

Our work expanded into full AI systems and operational infrastructure.

2023 — Present

Operational AI Studio

Today we design production AI systems used across multiple industries.

2018 — 2019

Small Team Beginnings

We started as a small engineering team focused on automation and internal tools.

2019 — 2021

First AI Projects

Early client projects focused on AI-powered workflow automation.

2021 — 2023

Systems Expansion

Our work expanded into full AI systems and operational infrastructure.

2023 — Present

Operational AI Studio

Today we design production AI systems used across multiple industries.

2018 — 2019

Small Team Beginnings

We started as a small engineering team focused on automation and internal tools.

2019 — 2021

First AI Projects

Early client projects focused on AI-powered workflow automation.

2021 — 2023

Systems Expansion

Our work expanded into full AI systems and operational infrastructure.

2023 — Present

Operational AI Studio

Today we design production AI systems used across multiple industries.

2018 — 2019

Small Team Beginnings

We started as a small team focused on automation and internal tools.

2019 — 2021

First AI Projects

Early client projects focused on AI-powered workflow automation.

2021 — 2023

Systems Expansion

Our work expanded into full AI systems and operational infrastructure.

2023 — Present

Operational AI Studio

Today we design production AI systems used across multiple industries.

2018 — 2019

Small Team Beginnings

We started as a small team focused on automation and internal tools.

2019 — 2021

First AI Projects

Early client projects focused on AI-powered workflow automation.

2021 — 2023

Systems Expansion

Our work expanded into full AI systems and operational infrastructure.

2023 — Present

Operational AI Studio

Today we design production AI systems used across multiple industries.

Laboratory director presenting the SignalPGx pharmacogenomics reporting dashboard

Lab scientist reviewing a SignalPGx pharmacogenomic report on a laptop

Clinical pharmacist reviewing a printed SignalPGx pharmacogenomics report

SignalPGx team member outlining the sample-to-report pharmacogenomics workflow on a whiteboard

Bioinformatics analyst reviewing pharmacogenomic data in SignalPGx on dual monitors

Pharmacist reviewing a SignalPGx pharmacogenomic report on a tablet

Medical director reviewing a SignalPGx pharmacogenomics report before sign-out

Clinician opening a SignalPGx patient pharmacogenomic passport on a mobile phone

Prescriber reviewing a printed SignalPGx pharmacogenomics report

Pharmacist discussing SignalPGx pharmacogenomic results with a patient

Lab team member using the SignalPGx onboarding dashboard

Engineer monitoring the SignalPGx reporting platform beside secure server infrastructure

Molecular laboratory technician preparing a genotyping sample for SignalPGx pharmacogenomic testing

Helping teams transform

repetitive work into AI systems

From early exploration to deploying AI systems that support real operational workflows.

START WITH SIGNALPGX

Helping teams transform

repetitive work into AI systems

From early exploration to deploying AI systems that support real operational workflows.

START WITH SIGNALPGX

Helping teams transform

repetitive work into AI systems

From early exploration to deploying AI systems that support real operational workflows.

START WITH SIGNALPGX

Helping teams transform

repetitive work into AI systems

From early exploration to deploying AI systems that support real operational workflows.

START WITH SIGNALPGX

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

(WDX® — 09)

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.

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 —

(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 AI systems.

JOIN OUR TEAM

Marcus Reed

Engineers AI systems that operate reliably inside real business workflows.

001.

IMPLEMENTS AI SYSTEMS

002.

CONNECTS MODELS WITH DATA

003.

OPTIMIZES PERFORMANCE OF AI SYSTEMS

Social accounts —

(WDX® — 09)

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

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 —

(spx® — 10)

ENGAGEMENT MODELS

Access plans

Flexible engagement models for teams
exploring or scaling AI systems.

SignalPGx brought structure and clarity to our AI roadmap and helped us deploy systems that actually work in production.

David Ramirez

Founder & CEO, SignalPGx

VIEW ALL CASES

SignalPGx brought structure and clarity to our AI roadmap and helped us deploy systems that actually work in production.

David Ramirez

Founder & CEO, SignalPGx

VIEW ALL CASES

Discovery & Strategy

We analyze your systems, workflows, and data landscape to identify high-impact AI opportunities and define the technical direction.

from

$7000

5000

/project

Timeframe:

Typically delivered in 2–3 weeks

What’s included:

Analysis of existing processes and manual operations across key teams

Identification of high-impact AI and automation opportunities

Identifying high-impact AI opportunities across operations, workflows, and data processes where automation can deliver measurable value.

Review of data structure and integration readiness

Definition of AI system architecture and technical direction

Design of data pipelines and model infrastructure

SELECT ENGAGEMENT MODEL

Discovery & Strategy

We analyze your systems, workflows, and data landscape to identify high-impact AI opportunities and define the technical direction.

from

$7000

5000

/project

Timeframe:

Typically delivered in 2–3 weeks

What’s included:

Analysis of existing processes and manual operations across key teams

Identification of high-impact AI and automation opportunities

Identifying high-impact AI opportunities across operations, workflows, and data processes where automation can deliver measurable value.

Review of data structure and integration readiness

Definition of AI system architecture and technical direction

Design of data pipelines and model infrastructure

SELECT ENGAGEMENT MODEL

Discovery & Strategy

We analyze your systems, workflows, and data to identify high-impact AI opportunities.

from

$7000

5000

/project

Timeframe:

2–3 weeks

What’s included:

Process Workflow Analysis

AI Opportunity Identification

Identifying high-impact AI opportunities across operations, workflows, and data processes where automation can deliver measurable value.

Data Structure Review

System Architecture Definition

Pipeline Infrastructure Design

SELECT ENGAGEMENT MODEL

Discovery & Strategy

We analyze your systems, workflows, and data landscape to identify high-impact AI opportunities.

from

$7000

5000

/project

Timeframe:

Typically delivered in 2–3 weeks

What’s included:

Analysis of existing processes and manual operations

Identification of high-impact AI and automation opportunities

Identifying high-impact AI opportunities across operations, workflows, and data processes where automation can deliver measurable value.

Review of data structure and integration readiness

Definition of AI system architecture and technical direction

Design of data pipelines and model infrastructure

SELECT ENGAGEMENT MODEL

Discovery & Strategy

We analyze your systems, workflows, and data landscape to identify high-impact AI opportunities

from

$7000

5000

/project

Timeframe:

Typically delivered in 2–3 weeks

What’s included:

Analysis of existing processes

Identification of high-impact AI

Identifying high-impact AI opportunities across operations, workflows, and data processes where automation can deliver measurable value.

Review of data structure

Definition of AI system architecture

Design of data pipelines

SELECT ENGAGEMENT MODEL

System Design

Designing the architecture, data pipelines, and technical foundation required to deploy AI systems in production.

from

$9000

7000

/project

Timeframe:

Typically delivered in 3–5 weeks

What’s included:

Analysis of existing processes and manual operations across key teams

Identification of high-impact AI and automation opportunities

Identifying high-impact AI opportunities across operations, workflows, and data processes where automation can deliver measurable value.

Review of data structure and integration readiness

Definition of AI system architecture and technical direction

Defining system architecture, model strategy, and integration approach required to deploy reliable AI solutions in production.

Design of data pipelines and model infrastructure

SELECT ENGAGEMENT MODEL

System Design

Designing the architecture, data pipelines, and technical foundation required to deploy AI systems in production.

from

$9000

7000

/project

Timeframe:

Typically delivered in 3–5 weeks

What’s included:

Analysis of existing processes and manual operations across key teams

Identification of high-impact AI and automation opportunities

Identifying high-impact AI opportunities across operations, workflows, and data processes where automation can deliver measurable value.

Review of data structure and integration readiness

Definition of AI system architecture and technical direction

Defining system architecture, model strategy, and integration approach required to deploy reliable AI solutions in production.

Design of data pipelines and model infrastructure

SELECT ENGAGEMENT MODEL

System Design

Designing the architecture and technical foundation required to deploy AI systems.

from

$9000

7000

/project

Timeframe:

3–5 weeks

What’s included:

Process Workflow Analysis

AI Opportunity Identification

Identifying high-impact AI opportunities across operations, workflows, and data processes where automation can deliver measurable value.

Data Structure Review

System Architecture Definition

Defining system architecture, model strategy, and integration approach required to deploy reliable AI solutions in production.

Pipeline Infrastructure Design

SELECT ENGAGEMENT MODEL

System Design

Designing the architecture, data pipelines, and technical foundation required to deploy AI systems in production.

from

$9000

7000

/project

Timeframe:

Typically delivered in 3–5 weeks

What’s included:

Analysis of existing processes and manual operations across

Identification of high-impact AI and automation opportunities

Identifying high-impact AI opportunities across operations, workflows, and data processes where automation can deliver measurable value.

Review of data structure and integration readiness

Definition of AI system architecture and technical direction

Defining system architecture, model strategy, and integration approach required to deploy reliable AI solutions in production.

Design of data pipelines and model infrastructure

SELECT ENGAGEMENT MODEL

System Design

Designing the architecture and data pipelines required to deploy AI systems

from

$9000

7000

/project

Timeframe:

Typically delivered in 3–5 weeks

What’s included:

Analysis of existing processes

Identification of high-impact AI

Identifying high-impact AI opportunities across operations, workflows, and data processes where automation can deliver measurable value.

Review of data structure

Definition of AI system architecture

Defining system architecture, model strategy, and integration approach required to deploy reliable AI solutions in production.

Design of data pipelines

SELECT ENGAGEMENT MODEL

Deployment & Integration

Building, integrating, and deploying AI systems directly into your existing tools, workflows, and operations.

from

$15000

12000

/project

Timeframe:

Typically delivered in 4–8 weeks

What’s included:

Analysis of existing processes and manual operations across key teams

Identification of high-impact AI and automation opportunities

Identifying high-impact AI opportunities across operations, workflows, and data processes where automation can deliver measurable value.

Review of data structure and integration readiness

Definition of AI system architecture and technical direction

Defining system architecture, model strategy, and integration approach required to deploy reliable AI solutions in production.

Design of data pipelines and model infrastructure

SELECT ENGAGEMENT MODEL

Deployment & Integration

Building, integrating, and deploying AI systems directly into your existing tools, workflows, and operations.

from

$15000

12000

/project

Timeframe:

Typically delivered in 4–8 weeks

What’s included:

Analysis of existing processes and manual operations across key teams

Identification of high-impact AI and automation opportunities

Identifying high-impact AI opportunities across operations, workflows, and data processes where automation can deliver measurable value.

Review of data structure and integration readiness

Definition of AI system architecture and technical direction

Defining system architecture, model strategy, and integration approach required to deploy reliable AI solutions in production.

Design of data pipelines and model infrastructure

SELECT ENGAGEMENT MODEL

Deployment & Integration

Building, integrating, and deploying AI systems directly into your existing tools and workflows.

from

$15000

12000

/project

Timeframe:

4–8 weeks

What’s included:

Process Workflow Analysis

AI Opportunity Identification

Identifying high-impact AI opportunities across operations, workflows, and data processes where automation can deliver measurable value.

Data Structure Review

System Architecture Definition

Defining system architecture, model strategy, and integration approach required to deploy reliable AI solutions in production.

Pipeline Infrastructure Design

SELECT ENGAGEMENT MODEL

Deployment & Integration

Building, integrating, and deploying AI systems directly into your existing tools, workflows, and operations.

from

$15000

12000

/project

Timeframe:

Typically delivered in 4–8 weeks

What’s included:

Analysis of existing processes and manual operations

Identification of high-impact AI and automation opportunities

Identifying high-impact AI opportunities across operations, workflows, and data processes where automation can deliver measurable value.

Review of data structure and integration readiness

Definition of AI system architecture and technical direction

Defining system architecture, model strategy, and integration approach required to deploy reliable AI solutions in production.

Design of data pipelines and model infrastructure

SELECT ENGAGEMENT MODEL

Deployment & Integration

Building, integrating, and deploying AI systems directly into your existing tools.

from

$15000

12000

/project

Timeframe:

Typically delivered in 4–8 weeks

What’s included:

Analysis of existing processes

Identification of high-impact AI

Identifying high-impact AI opportunities across operations, workflows, and data processes where automation can deliver measurable value.

Review of data structure

Definition of AI system architecture

Defining system architecture, model strategy, and integration approach required to deploy reliable AI solutions in production.

Design of data pipelines

SELECT ENGAGEMENT MODEL

Governed Architecture

Orchestrated

Governed Architecture

(spx® — 11)

Insights & Research

Recent articles

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

VIEW ALL INGHTS

AI technology

Feb 18, 2026

in /

AI technology

Build vs Buy: Should Your Lab Build PGx Reporting In-House?

System Integrations

Automation Features

Jan 14, 2026

in /

Automation Features

How Clinical Labs Launch a Pharmacogenomics Reporting Service

Automation Tools

Data Insights

Jan 4, 2026

in /

Automation Tools

CPIC, FDA & DPWG: Which Guidelines Should PGx Reports Follow?

Data Insights

Data Analysis

Dec 23, 2025

in /

Data Analysis

Delivering PGx Results into the EHR with FHIR & CDS Hooks

AI technology

System Integrations

Dec 23, 2025

in /

AI technology

What Makes a Pharmacogenomic Report Clinically Defensible?

Automation Tools

Data Analysis

Dec 23, 2025

in /

Automation Tools

Living Reports: Keeping Pharmacogenomic Guidance Current

AI technology

System Integrations

Dec 23, 2025

in /

AI technology

White-Labeling PGx Reports Under Your Lab's Brand

Automation Features

Data Analysis

Feb 11, 2026

in /

Data Analysis

From Genotype to Guidance: Inside the PGx Reporting Pipeline

AI technology

Feb 18, 2026

in /

AI technology

Build vs Buy: Should Your Lab Build PGx Reporting In-House?

System Integrations

Automation Features

Jan 14, 2026

in /

Automation Features

How Clinical Labs Launch a Pharmacogenomics Reporting Service

Automation Tools

Data Insights

Jan 4, 2026

in /

Automation Tools

CPIC, FDA & DPWG: Which Guidelines Should PGx Reports Follow?

Data Insights

Data Analysis

Dec 23, 2025

in /

Data Analysis

Delivering PGx Results into the EHR with FHIR & CDS Hooks

AI technology

System Integrations

Dec 23, 2025

in /

AI technology

What Makes a Pharmacogenomic Report Clinically Defensible?

Automation Tools

Data Analysis

Dec 23, 2025

in /

Automation Tools

Living Reports: Keeping Pharmacogenomic Guidance Current

AI technology

System Integrations

Dec 23, 2025

in /

AI technology

White-Labeling PGx Reports Under Your Lab's Brand

Automation Features

Data Analysis

Feb 11, 2026

in /

Data Analysis

From Genotype to Guidance: Inside the PGx Reporting Pipeline

AI technology

Feb 18, 2026

in /

AI technology

Build vs Buy: Should Your Lab Build PGx Reporting In-House?

System Integrations

Automation Features

Jan 14, 2026

in /

Automation Features

How Clinical Labs Launch a Pharmacogenomics Reporting Service

Automation Tools

Data Insights

Jan 4, 2026

in /

Automation Tools

CPIC, FDA & DPWG: Which Guidelines Should PGx Reports Follow?

Data Insights

Data Analysis

Dec 23, 2025

in /

Data Analysis

Delivering PGx Results into the EHR with FHIR & CDS Hooks

AI technology

System Integrations

Dec 23, 2025

in /

AI technology

What Makes a Pharmacogenomic Report Clinically Defensible?

Automation Tools

Data Analysis

Dec 23, 2025

in /

Automation Tools

Living Reports: Keeping Pharmacogenomic Guidance Current

AI technology

System Integrations

Dec 23, 2025

in /

AI technology

White-Labeling PGx Reports Under Your Lab's Brand

Automation Features

Data Analysis

Feb 11, 2026

in /

Data Analysis

From Genotype to Guidance: Inside the PGx Reporting Pipeline

AI technology

Feb 18, 2026

in /

AI technology

Build vs Buy: Should Your Lab Build PGx Reporting In-House?

System Integrations

Automation Features

Jan 14, 2026

in /

Automation Features

How Clinical Labs Launch a Pharmacogenomics Reporting Service

Automation Tools

Data Insights

Jan 4, 2026

in /

Automation Tools

CPIC, FDA & DPWG: Which Guidelines Should PGx Reports Follow?

Data Insights

Data Analysis

Dec 23, 2025

in /

Data Analysis

Delivering PGx Results into the EHR with FHIR & CDS Hooks

AI technology

System Integrations

Dec 23, 2025

in /

AI technology

What Makes a Pharmacogenomic Report Clinically Defensible?

Automation Tools

Data Analysis

Dec 23, 2025

in /

Automation Tools

Living Reports: Keeping Pharmacogenomic Guidance Current

AI technology

System Integrations

Dec 23, 2025

in /

AI technology

White-Labeling PGx Reports Under Your Lab's Brand

Automation Features

Data Analysis

Feb 11, 2026

in /

Data Analysis

From Genotype to Guidance: Inside the PGx Reporting Pipeline

(spx® — 12)

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 •

(spx® — 13)

frequently asked questions

Signal,
not noise.

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.

Is SignalPGx a diagnostic test or does it replace my doctor?

SignalPGx is pharmacogenomic decision-support and reporting software, not a diagnostic test, and it is not FDA-cleared or FDA-approved. It never replaces the physician: every report is reviewed and released by the lab's medical director, and final prescribing stays with the ordering clinician.

001.

Is SignalPGx a diagnostic test or does it replace my doctor?

002.

What evidence and drug/gene coverage does SignalPGx use?

SignalPGx bases every PGx recommendation on evidence-graded guidance across 50 pharmacogenes and about 950 medications, fused from 15+ curated sources including CPIC, FDA pharmacogenetic associations and drug labeling, and DailyMed. No result is released without lab medical-director review.

002.

What evidence and drug/gene coverage does SignalPGx use?

002.

How long does it take to see ROI?

003.

How does SignalPGx keep PGx reports up to date?

SignalPGx keeps reports current through Living Reports, which automatically re-analyze a patient's results when guidelines or their medication list change. When new evidence affects a prior result, the platform flags the report and alerts the lab so a medical director can review and reissue it.

003.

How does SignalPGx keep PGx reports up to date?

003.

Can we integrate AI agents with our existing software stack?

003.

Can we integrate AI agents with our existing stack?

004.

Is SignalPGx HIPAA compliant and how is data secured?

Yes. SignalPGx is HIPAA- and GDPR-compliant, hosted on secured AWS infrastructure. Data is protected with encryption in transit and at rest, role-based access control (RBAC), and strict tenant isolation that keeps each lab's data fully separate, all within CLIA-certified laboratory workflows and backed by a complete audit trail of every report action.

004.

Is SignalPGx HIPAA compliant and how is data secured?

005.

How do labs launch and white-label SignalPGx on an EHR?

Most labs go live on SignalPGx in 5-7 days, delivering fully white-labeled provider reports, patient reports, and a revocable QR Patient Passport under their own brand. It connects to EHRs through FHIR R4, HL7 ORU, CDS Hooks, and SMART on FHIR.

005.

How do labs launch and white-label SignalPGx on an EHR?

(spx® — 14)

OUR CONTACT

Let's talk

Bring your lab, your genotyping data, or your questions.

We’ll show you how to launch branded PGx reports, fast.

Bring your lab, your genotyping data, or your questions.

We’ll show you how to launch branded PGx reports.

+1 (833) 838-6500

info@signalpgx.com

1375 W Fulton St STE 545 Chicago IL 60607

Working globally —

Remote first

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

Tarek Younis, founder and CEO of SignalPGx

PRINCIPLES • VALUES •PRINCIPLES • VALUES •

(spx® — 15)

OUR PRINCIPLES

What
We Believe

Core Beliefs

We turn genotyping results into
living, evidence-graded PGx reports.

We turn genotyping results into living, evidence-graded PGx reports.

EXPLORE OUR APPROACH

We believe technology should solve real problems, not create new ones. If it doesn’t make the work simpler, faster, or clearer — it doesn’t belong.

Every SignalPGx report is graded against CPIC, FDA, and DailyMed, then released under your lab’s brand after medical-director review. Living Reports reanalyze it the day guidance or a patient’s meds change.

It’s to design systems that remain understandable,

explainable, and controllable — even when things go wrong.

when things go wrong.

It’s to design systems that remain understandable,
explainable, and controllable — even when things go wrong.