The Engineering Backbone of Modern Genomics.

Genomics & Life Sciences

At NonStop, We design, build, and scale bioinformatics pipelines, genomics platforms, and clinical decision systems for life science and healthcare organizations, from raw data to actionable clinical reports.

The Genomics Challenges We Solve

Genomics innovation slows when platforms fail to scale with data growth, workflow complexity,
collaboration needs, and regulatory expectations. We help teams overcome the following problems:

Fragmented customer experience portals, lab workflows automation, and bioinformatics pipelines
Genomic data scattered across files, tools, and legacy systems without proper data interoperability & integration
Pipelines that fail under population-scale workloads due to a lack of deployment orchestration and automation
Limited interoperability between LIMS, sequencing platforms, analysis systems, and downstream clinical and revenue cycle management (RCM) systems
Difficulty operationalizing genomics insights into precision medicine software, clinical workflows, and AI-driven products

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Genomics & Bioinformatics Solutions

We build production-grade bioinformatics pipelines, clinical genomics platforms, and AI-ready data infrastructure for life science and healthcare organizations. Where biology meets software engineering, that's where we operate.

Lab & Clinical Workflow Platforms

Digital Platform & Workflow Systems

We design end-to-end software for clinical lab operations, from pre-authorization and test order management to sample accessioning, clinical report generation, and provider-facing delivery portals.

Bioinformatics Pipeline Engineering

Production-grade bioinformatics pipelines for WES, WGS, RNA-Seq, targeted gene panels, and other assay types. We handle workflow orchestration, containerization, version management, and long-term pipeline maintenance.

Pipeline Operations & Reliability Engineering

We engineer your pipelines to auto-scaling execution engines, automated failure detection and retry logic, observability dashboards (run status, throughput, cost-per-sample), and full audit trails for every pipeline run.

Clinical Interpretation & Reporting Platforms

Tertiary analysis platforms, ACMG variant classification workflow tooling, pharmacogenomics engines, and clinical report generation systems. We build the software that helps you move from variant calls to clinically actionable reports.

Data, Analytics & AI

Multi-Omic Data Analysis & Interpretation

We build unified platforms for integrated analysis across genomics, transcriptomics, proteomics, and metabolomics datasets.

Data & Knowledge Foundations

Your genomic data is scattered across dozens of systems. We consolidate it, building governed data lakes, warehouses, and ETL pipelines that are ready for analytics.

AI-Ready Genomics Platforms

We engineer the upstream infrastructure that makes genomic AI possible, omic data preparation, feature engineering pipelines, and training platforms built to produce clinically relevant outputs.

ML Model Training on Proprietary Omic Data

From raw proprietary omic datasets, we engineer the full ML lifecycle, from curation and labeling through model training, validation, versioning, and clinical deployment.

Infrastructure & Integration

Interoperability & Systems Integration

We build HL7 v2, FHIR R4, and Mirth Connect integrations that connect Epic, Cerner, LIMS, and sequencer outputs into one seamless data flow.

Cloud Infrastructure & DevOps for Genomics

We architect genomics infrastructure on cloud (AWS, GCP, and Azure), Kubernetes orchestration and on-prem HPC integration when needed.

What We Build: Platforms That Power Genomics at Scale

We engineer custom platforms tailored to your needs, your workflows, and your scale.

Clinical Genomics Platform

A complete, cloud-native platform that manages the full clinical genomics lifecycle, from test ordering and sample accessioning through bioinformatics analysis, variant interpretation, clinical report generation, and report delivery to providers and patients.

Key capabilities

Test order management with pre-authorization workflows
Automated sample tracking and accessioning
Configurable bioinformatics pipeline execution (WES, WGS, panels)
Tertiary analysis and ACMG classification tools
Clinician and patient-facing report portals
EHR integration via HL7/FHIR
Full audit trails and HIPAA-compliant architecture

Bioinformatics Pipeline Platform

A managed, auto-scaling bioinformatics execution platform built for reliability at high throughput. Supports multiple pipeline types, handles version management, and provides complete observability into every run. The platform runs production pipelines across assay types such as WES, WGS, RNA-Seq, and targeted panels, with built-in support for germline and somatic workflows, variant calling, annotation, and QC.

Key capabilities

Pipeline orchestration (Nextflow, WDL, Snakemake)
Auto-scaling compute with cost optimization
Automated QC, failure detection, and retry logic
Cost-per-sample and throughput dashboards
Pipeline versioning and audit trails
Sequencer-to-pipeline automation

AI-powered Genomic Data & Analytics Platform

Variant interpretation is where genomics meets clinical impact, and it's where most teams lose time. We've built a unified analytics platform that brings AI directly into tertiary analysis, turning your variant data from a manual curation bottleneck into an intelligent, scalable interpretation workflow.The platform consolidates genomic, clinical, and phenotypic data into one governed layer and applies ML models to accelerate variant classification, surface clinically relevant findings, prioritize variants of uncertain significance, and support cohort-level re-analysis — all with explainable, auditable outputs your clinical teams can trust.

Key capabilities

AI-accelerated variant classification and VUS re-analysis.
Consolidated genomic, clinical, and phenotypic data.
Query across your entire variant dataset.
Feature engineering pipelines and training infrastructure.
Role-based access, audit trails, and regulatory compliance.

Multi-Omic Analysis & Interpretation Platform

An integrated analysis platform for cross-omic insights, combining genomics, transcriptomics, and proteomics with clinical and phenotypic data for deeper biological understanding and more precise therapeutic targeting.

Key capabilities

Multi-omic data integration and harmonization
Interactive analysis environments for scientists
Pathway analysis and biomarker discovery tools
Visualization dashboards for cross-omic insights
Model training on integrated omic datasets
Exportable, audit-ready analysis reports

Pharmacogenomics (PGx) Platform

A pharmacogenomics decision support platform that maps genetic variants to drug response profiles and generates actionable prescribing guidance for clinicians, integrated into existing clinical workflows.

Key capabilities

PGx variant calling and star allele determination
Drug-gene interaction knowledgebase integration (CPIC, PharmGKB)
CDS alerts and prescribing recommendation engine
EHR integration for point-of-care delivery
Patient medication history correlation

Patient & Provider Portal

Secure, consumer-grade portals that deliver genomic test results, educational content, and follow-up pathways to patients and their care providers, designed for engagement, clarity, and compliance.

Key capabilities

Patient-facing result delivery and education
Provider dashboards for ordering and result review
Secure messaging and genetic counseling integration
Consent management and data privacy controls

Use Case

Integrated Patient & EHR Genomics Dashboard

Client

Leading U.S. Healthcare Organization

Challenge

Genomic data, clinical notes, and counseling insights lived across disconnected systems, forcing genetic counselors and clinicians to toggle between portals, EHRs, spreadsheets, and static reports just to assemble a complete patient view. Test results sat outside the clinical workflow, delaying decisions and increasing the risk of missed context. The organization needed to unify clinical and genomic data, embed insights directly within the EHR, and reduce time-to-decision during patient visits.

Impact

Centralized clinical, genomic, and counseling data into a unified, interoperable platform
Embedded real-time genomic insights natively within the EHR workflow via SMART-on-FHIR
Reduced context switching and improved clinician efficiency during patient encounters
Enabled faster, more confident clinical decision-making with integrated decision support

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AI-Powered Payment & Payer Workflow Dashboard

Client

US-based Genomics & Diagnostics Laboratory

Challenge

Pre-authorizations were delaying test initiation, and payer coverage rules existed outside the core ordering workflow. Denials were recurring due to eligibility and documentation gaps, while finance lacked real-time visibility across assays and payer performance. Billing operated reactively, creating unpredictability in both care timelines and cash flow stability.

Impact

Embedded an intelligent payer rules engine directly into lab workflows
Reduced denials and improved first-pass claim accuracy through automated eligibility validation
Enabled real-time financial visibility across assays, payers, and reimbursement trends
Shifted billing from reactive processing to predictable, data-driven cashflow management

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AI-Assisted Variant Interpretation & Report Generation

Client

Leading U.S.-based Genomics Laboratory

Challenge

Variant interpretation had become the operational bottleneck. Analysts spent hours gathering evidence from multiple databases, reviewing literature, applying ACMG/AMP criteria manually, and drafting reports from scratch. Workflows were fragmented across LIS pipelines, annotation tools, spreadsheets, and static documents, making the process time-intensive, inconsistent, and difficult to scale as test volumes increased. Turnaround times stretched, reporting variability emerged, and maintaining traceability under regulatory standards required significant manual oversight. The organization needed a way to accelerate interpretation, standardize guideline adherence, and automate report drafting, without removing human review and accountability.

Impact

Reduced turnaround time with AI-assisted evidence aggregation and ACMG-aligned scoring
Improved consistency and traceability across variant classifications with explainable logic
Generated structured, first-draft clinical reports to streamline analyst workflows
Preserved human-in-the-loop review with full auditability and compliance controls

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AI-Driven Family / Pedigree Risk Prediction & Cascade Screening

Client

Leading Genetic Counseling Network

Challenge

Cascade screening after a positive genetic finding was heavily manual and difficult to scale. Counselors relied on spreadsheets, static pedigrees, and fragmented communication trails to determine which relatives were at risk and should be contacted. Risk assessment was time-consuming, outreach was inconsistent, and tracking participation across extended families was incomplete. As a result, at-risk relatives were sometimes missed, follow-ups were delayed, and preventive care opportunities were lost. The organization needed a structured way to quantify familial risk, automate personalized outreach, and track cascade testing seamlessly across systems.

Impact

Automated relative-level risk prediction using AI-driven pedigree and inheritance modeling
Prioritized and streamlined cascade outreach with personalized, patient-friendly communication
Increased cascade screening participation through structured tracking and follow-ups
Integrated risk data and outcomes back into LIS/EHR systems for continuous visibility and coordination

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AI for Operational & Predictive Lab Analytics

Client

Leading U.S.-based Genomics Laboratory

Challenge

Operational and finance leaders were managing throughput, quality, and cost with limited foresight. Forecasting relied on static dashboards and manual spreadsheets, while operational, logistics, and payer data remained fragmented across systems. Sample volumes fluctuated unpredictably, reagent planning lagged behind demand, and denial trends were identified only after claims were submitted. The result was avoidable overtime, stockouts, workflow bottlenecks, and revenue leakage. The organization needed a way to predict workloads, optimize resources, and proactively manage payer risk before issues impacted turnaround time or cash flow.

Impact

Implemented AI-driven forecasting for sample volumes, staffing needs, reagent consumption, and TAT
Reduced stockouts and overtime through proactive operational planning
Introduced denial-risk prediction to flag high-risk claims before submission
Unified lab, logistics, and financial data into a real-time command center for predictive decision-making

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AI-Enabled Test Cataloguing

Client

Leading U.S.-based Genetic Testing Laboratory

Challenge

The lab managed hundreds of assays across LIS, EHR, billing, and portal systems—each with inconsistent naming conventions, CPT/LOINC mappings, and payer rules. Test catalogues were manually maintained, frequently outdated, and disconnected from real-world ordering and denial patterns. Clinicians and genetic counselors spent valuable time searching for the right test or duplicating orders, while billing teams faced preventable denials tied to mismatched codes and evolving coverage criteria. The organization needed a way to centralize, standardize, and intelligently govern its entire test catalogue while embedding accurate, compliant selection directly into clinical workflows.

Impact

Centralized and standardized the full genetic test catalogue into a unified, AI-governed platform
Enabled intelligent test recommendations based on phenotype, prior results, and payer coverage
Reduced ordering errors and denial rates through embedded coding and coverage logic
Integrated seamlessly into EHR and counseling workflows via FHIR, eliminating manual search and context switching

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Why Life Science & Healthcare
Organizations Choose NonStop IOYou need an engineering partner who understands the science, the regulatory landscape, and
what it takes to run genomics software in production.

We Understand the Science, Not Just the Code

Our teams include bioinformatics engineers who have built and maintained production pipelines.

Production-Proven at Scale

We build platforms that process thousands of samples per week in live clinical environments.

Compliance Built In, Not Bolted On

HIPAA, SOC 2, GDPR, we architect for regulatory compliance from day one.

One Partner: Pipeline to Production

Architecture, development, deployment, DevOps, and long-term maintenance, all from one team.

Multidisciplinary Engineering Team

You work with experienced engineers and architects who have built and run real systems.

Accelerated Time-to-Value

Our experience across 90+ engagements means we bring proven patterns, reusable components, and battle-tested architectural decisions to every project.

We Operate as an Extension of Your Team

Our engagement model is built on long-term partnership, embedded teams, shared roadmaps, and continuous iteration.

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Case Studies

Transforming Ideas into Impactful Solutions.

Genetic Testing Workflow

Modernizing Genetic Lab Workflows for Precision Medicine - Achieving 55% Faster Turnaround Times

Client

U.S. based Leader in Genetic Testing & Diagnostics

Challenge

Legacy genetic testing workflows created slow turnaround times, technical debt, scalability gaps, compliance risk, and low clinician adoption.

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Impact

55% reduction in turnaround time (TAT)
40% faster code performance across test order and sample workflows
Cloud-native, microservices-based platform for precision medicine

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Client Testimonial

"With NonStop, we modernized a mission-critical genetic testing platform without disruption. Their compliance-first engineering, modern UI/UX, and focus on security reduced turnaround times, improved adoption, and prepared us for the future of genomic medicine."

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AI for Genetics Counselling

Intelligent Genetic Counselling Assistant (iGCA)

Client

Genetics & Wellness Technology Provider

Challenge

Genetic counselling was difficult to scale due to complex genetic reports, time-intensive manual interpretation, and the risk of miscommunication. The client needed an AI-assisted solution that could provide instant, explainable insights while supporting, rather than replacing, human genetic counsellors.

Impact

• AI-powered Intelligent Genetic Counselling Assistant (iGCA) for scalable report interpretation

• Faster, clearer genetic risk insights using generative AI

• Reduced counselling workload while maintaining accuracy, trust, and responsible genetic interpretation

Client Testimonial

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