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:
Genomics & Bioinformatics Solutions
We've built a suite of genomics-native products that labs deploy to eliminate manual bottlenecks, reduce operational overhead, and accelerate time-to-report.
SmartReq
Transform patient requisition intake and eliminate billing errors caused by manual data entry with AI-powered form extraction built for clinical labs.
Intergenix
Stop incomplete and duplicate EHR orders from reaching your lab and recover the revenue lost to intake errors that billing discovers too late.
StrixFlow
Catch bioinformatics pipeline failures at the source, not when a clinician asks, and see exactly what every sample is costing you to run, in real time.
Varion
Reduce variant interpretation TAT and free your analysts from manual evidence hunting with an AI-assisted platform that does the querying so they can focus on the decision.
GENVAR
Protect your lab's accumulated clinical judgment from analyst turnover and vendor lock-in with a knowledge base that owns your interpretation history and surfaces it exactly when your team needs it.
ReportStudio
Cut report turnaround from hours to minutes and give your lab team direct control over clinical templates, without a single engineering ticket.
Custom-built genomics engineering, end to end
From NGS pipeline development to LIMS integration and AI-ready data infrastructure, every engagement is scoped to your lab's biology, your regulatory environment, and the scale you're operating at.
What We Build: Platforms That Power Genomics at Scale
We engineer custom platforms tailored to your needs, your workflows, and your scale.
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.
Case Studies
Modernizing Genetic Lab Workflows for Precision Medicine – Achieving 55% Faster Turnaround Times
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
Intelligent Genetic Counselling Assistant (iGCA)
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
Certifications
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
Lab & Clinical Workflow Platforms
Data, Analytics & AI
Infrastructure & Integration
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 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