Digital Research and Process Management

LaborGrowth Analytics: Your Platform for Experimental Datasets

Manage laboratory processes, project metrics, and quality standards in a centralized environment. Standardized workflows make scientific projects more traceable and increase the quality of your research.

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Why LaborGrowth Analytics?

Our platform was specifically developed for research organizations that want to efficiently manage experimental data, laboratory processes, and project metrics. From experiment planning to final documentation – we support you with standardized workflows that improve the traceability and quality of your scientific work.

Features for everyday lab work

The platform brings together the most important tools for research organizations: from capturing experimental data to evaluating project metrics. Every feature is designed for daily work in the lab.

Central data capture Experimental datasets are structured uniformly and stored centrally. This ensures that all measured values and observations remain traceable and comprehensible at all times.

Standardized workflows Recurring processes such as experiment planning or sample preparation can be saved as templates. This reduces deviations and makes it easier to onboard new team members.

Process documentation All steps of an experiment are logged automatically. Changes remain traceable with timestamps and the person responsible – a solid basis for audits and final reports.

Project metrics at a glance Progress, workload, and milestones are displayed clearly. This allows project managers to identify bottlenecks early and allocate resources effectively.

Integrated quality assurance Role concepts, versioning, and audit trails safeguard data integrity. Quality standards are therefore not an extra task but part of the normal workflow.

Evaluation and export Metrics and datasets can be prepared for reports and exported in common formats. This facilitates collaboration with external partners and funding bodies.

All features at a glance

Packages for your research organization

Three clearly defined entry-level models – from a structured basic system to complete process and quality management. No hidden costs, no unnecessary modules.

Basic

LabBook Start

Electronic lab notebook for up to 5 users. Central storage of experimental data sets, simple version history, and a shared project folder. Ideal for working groups that want to digitize their documentation.

Standard

Process Suite

Extends LabBook Start with standardized workflow templates, checklists, and role-based approvals. Includes an audit trail for traceable changes to protocols and measurement series. For laboratories with fixed quality requirements.

Enterprise

Quality & Analytics

Full-featured platform with automated process documentation, customizable dashboards, and interfaces to common measuring devices. Includes training and a personal contact for implementation. For institutes with multiple departments and external audit obligations.

Individual

Custom Setup

Do you have specific workflows or an existing database? We configure modules, roles, and reports to match your processes. Together we define milestones, data fields, and permissions – optionally with on-premises operation.

Trust from research practice

What research organizations say about our platform

4.8 / 5

Our teams have been documenting all test series via LabGrowth for over a year. The audit trails have noticeably simplified internal quality review.

Ing. Nicole Brunner B.A. · Head of Quality Management

92%

The share of fully documented experiments has risen from 61 to 92 percent for us. The standardized templates make the difference.

Markus Schachner B.A. · Life Sciences Project Lead

38%

Less time spent on post-processing experimental data. The centralized process management replaces several individual solutions for us.

Natalie Unterberger · Data Management

ISO-compliant

The role concepts and versioning meet the requirements of our accreditation. Preparing for audits has become significantly faster.

Ms. Christina Graf · Quality Assurance

24 h

Until a new project member can use the platform confidently. The clear structure of the workflows significantly shortens the onboarding time.

Sophia Maier · Research Assistant

1 system

Instead of separate spreadsheets and notebooks, we use one integrated platform for experiment planning, data collection, and final reports.