Scale Bioinformatics Without Sacrificing Security or Control
Seqera is trusted by leading diagnostics IT teams to unify data, pipelines, and compute across hybrid environments.
150+ leading diagnostics companies choose Seqera to accelerate discoveries, maximize productivity, and enable collaborative data analysis at scale.
Unified Platform for Development and Validation
Deploy a unified platform that consolidates bioinformatics pipeline management and computational analysis across your infrastructure. Seqera reduces system complexity by eliminating tool sprawl and data silos while optimizing resource utilization, reducing operational overhead, and accelerating deployment cycles for diagnostic applications.
Regulatory Compliance and Audit Readiness
Native controls with RBAC, audit trails, workspace isolation, and complete traceability designed for regulated diagnostic environments. Seqera enables enterprise governance across multi-site operations without adding operational complexity or compliance overhead.
Centralized Operations and Resource Management
Execute workflows where your data resides—cloud, hybrid, or on-premises—without forced migration or vendor lock-in. Seqera ensures you have complete control of your data while meeting complex regulatory requirements and enterprise IT policies.
Real-Time Operational Visibility and Control
Achieve unified visibility and control over resources, infrastructure costs, and system performance across all operations. Seqera provides real-time monitoring and automated resource optimization that enable proactive infrastructure management and cost control across global deployments.
Scalable, Future-Proofed Technology
Future-proof your infrastructure with a modular platform built on open standards. Seqera dynamically scales up or down based on demand while adapting to evolving diagnostic technologies, regulatory frameworks, and changing market needs without costly system replacements or process disruptions.
Laboratory-to-Informatics Integration
Enable seamless collaboration between bioinformaticians, laboratory scientists, and regulatory teams with reproducible, shared environments. Seqera accelerates decision-making while maintaining independence across diagnostic programs.
Delivering Real-World Results
“Time is one of our most valuable assets at Sano Genetics. With Seqera, we’ve turned hours of orchestration and troubleshooting into minutes. That efficiency gives us the freedom to focus on innovation and accelerate the delivery of precision medicine."
— Lead Genetic Epidemiologist, Sano Genetics
“Being able to highly parallelize sample analyses, fault tolerance and logging was a game changer”
— Senior Genomics and Data Scientist, Wisconsin State Laboratory of Hygiene
"Programmatic access to all the pipeline metrics helped us identify processes or tasks that fail frequently and need further optimization."
— Data Architect, BioSkryb Genomics
Enterprise-Ready Innovation, Backed by the Nextflow Experts
Multi-cloud and on-prem support without lock-in
Run compute where your data resides. Seqera supports public cloud, private cloud, hybrid, and on-prem without requiring replatforming.
Secure-by-default architecture
Enforce RBAC, credential policies, and workspace-level access with flexible controls. Designed for enterprise security and compliance standards.
Real-time resource tracking for better performance
Monitor resource usage, performance, and cost in real time. Supports full traceability and forecasting without external tooling.
API-driven control of pipelines and environment
Use infrastructure-as-code to manage pipelines, secrets, and compute profiles. Automate operations with robust, reusable APIs.
Software-First Platform
Purpose-built for Nextflow with containers, Git, and code as first-class citizens. Eliminate dependency headaches and fragmented tooling with an ecosystem optimized for bioinformatics.
Equip your IT organization with enterprise-ready bioinformatics infrastructure.
Connect with our team and learn how Seqera can unify your pipelines, scale your compute, and secure your data.