The Engineering Backbone of Modern Genomics

Genomics & Life Sciences

At NonStop, a trusted genomics and life sciences software development company, we deliver bioinformatics software development services, building scalable bioinformatics pipelines, clinical genomics platforms, and precision medicine software from raw data to actionable clinical insights.

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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 lab & pipeline workflows

Disconnected LIMS, pipelines, and portal systems with no unified workflow layer.

Genomic data siloed across systems

Variant data, clinical records, and omic files scattered with no interoperability or governed access.

Pipelines that fail at scale

NGS pipelines built for pilot volumes that break under population-scale or high-throughput lab workloads.

Insights that never reach the clinic

Difficulty operationalizing genomics findings into clinical workflows, EHR systems, and precision medicine software.

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

From LIMS development and test order management to automated sample tracking and clinical genomics workflow automation we build the operational software that keeps clinical labs running at scale.

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Bioinformatics Pipeline Engineering

Production-grade NGS pipeline development services for WES, WGS, RNA-Seq, and targeted panels with variant annotation pipeline development, Nextflow orchestration, and reliability engineering built in.

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Data, Analytics & AI

We consolidate fragmented genomic data into governed lakes and warehouses, build multi-omic data analysis platforms, and engineer the ML infrastructure that makes AI-powered interpretation possible.

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Infrastructure & Integration

HL7 FHIR bioinformatics integration with Epic, Cerner, and LIMS. Cloud genomics infrastructure on AWS, GCP, and Azure  engineered for HIPAA compliance, Kubernetes orchestration, and clinical-grade uptime.

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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 clinical genomics platform — from test ordering and sample accessioning through ACMG variant classification, report generation, and HIPAA-compliant delivery to providers and patients.

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Bioinformatics Pipeline Platform

Auto-scaling pipeline execution for WES, WGS, RNA-Seq, and panel workflows — with Nextflow pipeline development, somatic variant calling, and cost-per-sample observability built in.

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AI Genomic Data & Analytics Platform

AI-driven variant classification and VUS re-analysis, built on a unified layer of genomic, clinical, and phenotypic data — with explainable, auditable outputs clinical teams can act on.

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Multi-Omic Analysis & Interpretation Platform

Cross-omic insights from a single platform — integrating genomics, transcriptomics, and proteomics with clinical data for biomarker discovery, pathway analysis, and precision medicine research.

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Pharmacogenomics (PGx) Platform

Maps genetic variants to drug response profiles and surfaces prescribing guidance at the point of care — integrated directly into clinical workflows via Epic or Cerner EHR integration.

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Patient & Provider Portal

Consumer-grade result delivery, genetic counseling integration, and consent management — designed for patient engagement and clinical compliance, built on a HIPAA-compliant architecture.

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Use Cases

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

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

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

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

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

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

Why Life Science & Healthcare
Organizations Choose NonStop IO
You 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.

AI-Ready by Design

We bring deep expertise in architecting LLMs, ML inference pipelines, and AI-assisted clinical decision workflows into genomics and life sciences platforms.

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.

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

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."

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

Tech Stack

Pipelines

Nextflow

WDL

GATK

Docker

Apptainer

Cloud & Infra

GCP

Azure

Kubernetes

Terraform

AWS

Data & Analytics

Snowflake

Databricks

Amazon Athena

Apache Spark

Airflow

dbt

Interoperability

HL7 v2

FHIR R4

Mirth Connect

Epic

Cerner

Application Stack

Java

Dot Net

React

Angular

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Certifications

Basic

$199.00

per user / month

Visualization of Task Progress

Simple Collaboration Instruments

Features for Deadline Reminders

An easy-to-use interface

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No credit card required

Standard

$249.00

per user / month

Visualization of Project Progress

Visualizing Milestone Progress

Visualization of Work Status

Monitoring of Work Progress

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No credit card required

Premium

$499.00

per user / month

Most Popular

Monitoring Workflow Status

Tracking Activity Completion

Task Journey Monitoring

Task Flow Diagram

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No credit card required