The Engineering Backbone of Modern Genomics
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.
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:
Disconnected LIMS, pipelines, and portal systems with no unified workflow layer.
Variant data, clinical records, and omic files scattered with no interoperability or governed access.
NGS pipelines built for pilot volumes that break under population-scale or high-throughput lab workloads.
Difficulty operationalizing genomics findings into clinical workflows, EHR systems, and precision medicine software.
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.
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.
Explore →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.
Explore →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.
Explore →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.
Explore →Platforms Showcase
We engineer custom platforms tailored to your needs, your workflows, and your scale.
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.
View 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.
View 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.
View 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.
View 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.
View Platform →Consumer-grade result delivery, genetic counseling integration, and consent management — designed for patient engagement and clinical compliance, built on a HIPAA-compliant architecture.
View Platform →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
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
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
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
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
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
Our teams include bioinformatics engineers who have built and maintained production pipelines.
We build platforms that process thousands of samples per week in live clinical environments.
HIPAA, SOC 2, GDPR, we architect for regulatory compliance from day one.
Architecture, development, deployment, DevOps, and long-term maintenance, all from one team.
You work with experienced engineers and architects who have built and run real systems.
Our experience across 90+ engagements means we bring proven patterns, reusable components, and battle-tested architectural decisions to every project.
Our engagement model is built on long-term partnership, embedded teams, shared roadmaps, and continuous iteration.
We bring deep expertise in architecting LLMs, ML inference pipelines, and AI-assisted clinical decision workflows into genomics and life sciences platforms.
Transforming Ideas into Impactful Solutions.
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
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
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