Seqera Platform

Seqera Platform is a comprehensive, enterprise-ready bioinformatics platform built on Nextflow's proven workflow orchestration engine — created by the same team behind Nextflow itself. Designed to empower bioinformatics teams across the entire scientific lifecycle, Seqera enables collaborative data analysis at scale, whether deployed on-premises, in the cloud, or in hybrid environments. It is trusted by over 150 pharma, biotech, and diagnostics companies worldwide, delivering documented outcomes including 24x faster data analysis turnaround, 35x increases in sample throughput, and up to 70% reduction in pipeline costs.

The platform addresses the full spectrum of bioinformatics operations — from pipeline development and data management to interactive analysis, AI-assisted development, and regulated GxP environments — eliminating infrastructure complexity so teams can focus on science rather than setup.

Core Platform Capabilities

• Pipelines: Develop, manage, and optimize Nextflow workflows at any scale with comprehensive monitoring, detailed metrics, and resource usage tracking across projects, teams, and organizations.
• Data: Unified access to datasets with seamless integration across any cloud storage provider or on-premises system, enabling faster analysis launch with connected data and end-to-end traceability.
• Interactive Analysis: Reproducible interactive analysis environments via Studios that seamlessly connect to data and compute, enabling real-time collaboration and data exploration customized to specific team needs.
• AI and ML: AI-assisted pipeline development and intelligent code generation and validation powered by GitHub Copilot in Seqera AI and VS Code, empowering scientists to work independently with the latest ML models while maintaining Nextflow best practices.
• Compute: Optimized, scalable infrastructure that brings compute to data, with intelligent resource usage and automated environment provisioning to reduce costs and eliminate bottlenecks.

Key Workflow and Operational Features

• Accelerated development with AI: AI-assisted pipeline development and faster troubleshooting integrated directly into the development environment.
• Automated environment setup: Wave containers eliminate time spent configuring tools, while Batch Forge automates enterprise-scale compute environments with full cost control.
• Fusion file system: Enables working with massive cloud datasets as local files, eliminating costly data egress and ensuring secure cross-environment portability.
• Real-time pipeline monitoring: Track pipeline progress, resource usage, and costs in real-time with detailed task-level visibility, automatic failure notifications, and complete audit trails for regulatory compliance.
• Unified data management: Browse and manage datasets across any cloud storage provider or on-premises system from a single interface, with seamless pipeline integration.
• Enterprise-grade traceability: Complete audit trails of every pipeline run with full visibility into inputs, parameters, compute environments, and outcomes.
• Standardization at scale: Reproducible containers and automated run environments via Wave and the Platform API or CLI enable consistent execution across teams and sites.
• Project governance: Built-in versioning, centralized control, and collaborative workspaces to manage project sprawl across the entire organization.

Deployment Options

• Cloud Pro: Ideal for research and early development teams requiring ultimate flexibility and rapid iteration.
• Enterprise: Designed for preclinical and research teams with strict IT and information security requirements.
• GxP-Ready: Built for clinical and manufacturing use cases requiring full GxP validation and regulatory compliance.

Seqera Platform offers complete deployment flexibility across cloud, hybrid, and on-premises environments with no forced data migration or vendor lock-in — data remains within the customer's own infrastructure. The platform exposes a full API, CLI, and SDK alongside a UI, and integrates with a broad ecosystem of compute, container, storage, and source management tools. Compliance with regulatory and security standards depends on customer configuration, deployment environment, and operational controls.