LAB INFORMATICS
Zylon R&D LIMS
Zylon R&D LIMS is designed for laboratories where work is exploratory rather than purely specification-driven. It provides a structured environment for projects, studies, experiments, formulations, methods, samples, results and technical knowledge while preserving responsibility and traceability.
Capability model
Built around controlled laboratory work.
Projects, studies & programmes
Organise work by programme, project, study, objective, owner, milestone and technical decision context.
Experiments & formulations
Capture experimental design, formulations, variants, process conditions, observations and comparison across iterations.
Method development
Manage analytical or process method versions, parameters, trial evidence, validation context and approved progression.
Research sample lifecycle
Track sample identity, preparation, storage, usage, retest, disposition and links to studies or experiments.
Results & knowledge records
Keep structured results, notes, attachments, interpretations and conclusions connected to the originating research work.
Collaboration & governance
Apply role, project, site and responsibility context while retaining reviewable history around important technical decisions.
Controlled process
From laboratory action to traceable evidence.
State-driven workflows, role-based responsibility and reviewable activity help preserve the context behind scientific and quality decisions.
Define
Establish the research question, project, study and intended outcome.
Design
Plan experiments, formulations, methods, samples and resources.
Execute
Capture observations, analytical data and experiment evidence.
Evaluate
Compare variants, trends, outcomes and technical interpretation.
Retain knowledge
Preserve approved findings, methods and reusable research context.
Enterprise readiness
Designed to operate as part of the enterprise.
R&D informatics can connect to instruments, document systems, ERP material masters, formulation data, analytical systems, identity providers and specialised scientific tools through project-specific integration patterns.
Governed access
Organisation, site, role and responsibility context can govern access to critical records.
Configurable workflows
Approval paths, states, escalations and exceptions can follow the laboratory operating model.
Integration ready
APIs and controlled interfaces can connect ERP, identity, instruments, portals and surrounding systems.
Validation conscious
Implementation can support requirements, verification, controlled change and validation evidence where applicable.