Signals LabGistics™
Streamline your scientific workflows across the entire drug development lifecycle.
With Signals LabGistics, you can plan, execute, and monitor your work while ensuring your data flows smoothly from R&D through to manufacturing without the manual gaps, delays, or handoff frustrations slowing you down today.
Create a Single Source of Truth for Scientific Operations
Signals LabGistics creates a structured environment that supports the design, planning, execution, and monitoring of workflows across diverse scientific fields.
Bridge workflow coordination gaps by eliminating email handoffs and manual transfers between teams.
Accelerate technology transfer through seamless handoffs between development and manufacturing processes.
Simplify regulatory compliance by supporting documentation and traceability in GxP environments.
Generate automated workflows using AI tools that convert SOPs and natural language descriptions into processes.
Security
Secure Data
Independently-verified best practices for storing and securing data.
Cloud
Built with secure cloud infrastructure on AWS.
Access Config
Permissions-based access means team members only see what they need to.
SOC 2 Certified
Verified compliance with industry-leading security and privacy standards.
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Streamline collaboration, reduce costs, and realize faster, more efficient drug development—all from this single, cloud-native solution.
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Learn more about three-tier workflow management—processes, workflows, and tasks—including scalable workflow execution and monitoring.
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Signals LabGistics FAQs
Signals LabGistics is a workflow management solution designed to streamline complex scientific workflows across the drug development lifecycle. It allows teams to plan, execute, and monitor tasks while ensuring that data flows seamlessly from research and validation to production. Signals LabGistics integrates tools, systems, and team members into one cohesive environment, eliminating silos and ensuring that decisions are based on real-time insights. It empowers teams to accelerate timelines, improve collaboration, and scale operations efficiently, supporting innovation at every stage.
Signals LabGistics provides a structured environment that supports the design, planning, execution and monitoring of scientific workflows:
- Bridge workflow coordination gaps by eliminating email-based handoffs and manual coordination between sequential teams.
- Streamline task management and monitoring with tools that assign responsibilities, track progress and ensure accountability at every stage.
- Accelerate technology transfer with seamless handoffs between development and manufacturing processes.
- Ensure workflow consistency from early research through production scale-up, minimizing disruptions and inefficiencies.
- Simplify regulatory compliance by supporting documentation and traceability across GxP and quality-controlled environments.
- Generate automated workflows using AI-powered tools that convert standard operating procedures (SOPs) and natural language descriptions into actionable processes.
Signals LabGistics is the preferred collaboration tool of scientists who want to optimize complex workflow management in the pharmaceutical industry, scale production in food science, or manage cross-functional collaboration in materials innovation. It allows seamless coordination among teams involved in research, development, quality, manufacturing and regulatory activities.
Yes, Signals LabGistics connects directly with Signals Notebook. It has some of the functionality of a LIMS. It is designed to fit into your organization’s existing ecosystem and can be integrated with a third-party ELN, LIMS, LES, and MES.
Using AI-powered workflow generation, real-time visibility, and seamless integration with existing laboratory information systems, Signals LabGistics eliminates bottlenecks, accelerates tech transfer, and ensures consistent, compliance-ready processes. It provides AI-powered workflow orchestration for bioprocessing operations, filling gaps left by existing LIMS, ELN, and MES systems through automated workflow generation, project management oversight, and centralized data pipeline management.
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