Scieline recognizes that science is iterative and innovation is a function of reliable experimental replication at meaningful scale. It is often about connecting the dots and finding meaning in disparate data points. Scieline will help you connect the dots whether you are at the bench or managing a project far from the bench.

Dynamic Dashboards
With Scieline you no longer worry about data being buried in a lab notebook or an Excel spreadsheet. Scieline modules such as sample management, electronic notebook and data analytics, ensure data is always available for investigating, analysis and reporting.

Importantly, Scieline for biologics is focused on the process, recognizing that process is of fundamental importance to ensuring product quality. For that reason, Scieline is configured to mirror your process.

Whether selecting the most optimal cell line or understanding which variables yielded the best product profile, Scieline quickly becomes a powerful tool for the bench scientist and process engineer. It will also facilitate the handoff to regulatory teams preparing for product registration and registration maintenance or renewal.

Scieline for Biologics

Cell and Gene Therapy

Scieline Is designed to support  multi-stage complex biologic processes where data analytics will drive decision making

Scieline for Biologics

Cell Line Selection

Scieline Is designed to support multi-stage complex biologic processes where data analytics will drive decision making

Scieline for Biologics

Antibody Process Development 

Scieline Is designed to support multi-stage complex biologic processes where data analytics will drive decision making

Scieline for Biologics

Protein Purification and Formulation Studies

Scieline Is designed to support multi-stage complex biologic processes where data analytics will drive decision making                                                                                                                                                                    

R&D Process & Data Management system

Reflect the Development Process
Upstream
Downstream
Stability
Inventory
Data analysis
THE
PROCESS

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