Synthace: A digital
experiment platform.

Increase confidence: simulate and validate manual and automated steps before they happen to give yourself peace of mind about what will be going where.

Transfer automation: standardize and share a common frame of reference for automation instructions that everyone in your team can understand.

Mitigate against loss: reduce or even remove the need for expensive, time-consuming automation practice runs while reducing human error and lowering consumable usage.

Share methods between devices and sites: what you design for machines in one lab will run the same on machines in another, even if they're from a different OEM.

Establish a common format: remove ambiguity from your protocol design process and make it easier to share your work with your colleagues in any location

Preserve valuable knowledge: when teams change and people move on, their work remains—all of it in a standardized in a common format with intent, context and findings intact.

Automate without code: automatically transform your drag-and-drop designs into manual or machine instructions that are optimized, controlled, and scheduled for you.

Use on multiple machines: run the same workflow on different liquid handlers in different locations without needing to make any changes to your workflow design.

Share the same interface: no need for brand familiarity or multiple software interfaces, scientists and engineers can work from the same frame of reference with no impact on functionality.

Templatize your work: Synthace lets you make method templates that can run repeatedly on different equipment in different locations. You can easily modify them whenever you need to.

Achieve reproducibility: make your work more predictable by using Synthace to run your workflows the same way each and every time with consistent, accurate automation instructions.

Make it easy to edit: if you need to make changes to your workflows, Synthace will automatically recalculate and reprogram machine or manual instructions for you.

Give context to your data: your data and metadata are aggregated directly and structured in the context of the experiment you designed.

Access it immediately: your data is formatted and made available in the cloud as soon as your run is done—no need to wait before moving on to analysis or sharing with other teams.

Access it in the future: once your data is uploaded to Synthace, you'll be able to access it any time, alongside the complete experimental data and metadata context attached to the original design.