1: THROUGHPUT

Connected, automated, intelligence-infused processes create faster sample throughput and reduced per-sample hands-on time, reducing bottlenecks in research and lab productivity.

2: EFFICIENCY

AI-enhanced solutions can help train staff and guide them through workflows step by step, minimizing errors and repeat testing, saving time and improving the accuracy of results.

3: CONNECTEDNESS

Integrations with Agilent and third-party instruments allow remote access/remote work, reduce delays accessing data, eliminate manual data entry, and help you scale up on demand.

4: QUALITY

Workflow orchestration and lab automation can increase not only yield and throughput but also security and data integrity, creating results that are extremely trustworthy.

5: RELIABILITY

Agilent solutions can flag errors and indicate if a retest is needed, saving time. Analysts no longer have to check with the manager or manually review multiple times.

6: SUSTAINABILITY

Automated processes and fast, easy scale-up can reduce everything from sample volumes required to the number of times a study needs to be repeated, making workflows more sustainable from a cost and staffing perspective.

7: COLLABORATION

In the digital lab, data is instantly accessible to authorized lab personnel and managers, even remotely, encouraging stronger collaboration among peers in multiple locations.

8: COMPLIANCE

A digital lab can easily manage large volumes of data, access relevant data for each sample, respond quickly, and send data packets to regulatory bodies, saving time and compliance risk.

9: VISUALIZATION

Using augmented reality/virtual reality (AR/VR) technologies, the lab can create 3D visualizations and allow for simultaneous viewing by multiple collaborators.

10: INNOVATION

When you bring more flow to your workflows, scientists have more time to visualize, analyze, and generate insights from your data—which is a win for everyone.