How Synthace Works
The Synthace Experiment Platform abstracts the experiment design and planning process, controls lab equipment, and aggregates your data. Move faster from intent to insight and spend more time on the science.


Design Experiments in Your Browser
Use our drag and drop elements to design experiment workflows in a stable, no-code environment. Connect, configure and adapt your workflow designs until you’re ready to take them into the lab.
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Run Those Experiments in Your Lab
When you’re ready, you can schedule your experiment to run on your equipment. There’s still no need for code—the experiment you’ve designed is translated into the steps you or your equipment need to make it happen.
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Analyze Structured Data in One Place
Synthace aggregates and structures all of the experimental data and metadata from the automation and analytical devices you use. With a structured, context-rich dataset, you’ll know what happened, when, and why—without needing to wrestle different data formats.

Enrich Your Experiments With Contextual Information
Re-use existing scientific context to create new experiments and see the relationships between workflows, simulations, executions, data, and metadata, no matter who’s involved or where they are.
Core Platform Features

Design With Simple Drag and Drop Tools
- Lower barriers to entry: automate tedious work, elevate complex workflows, and increase usability with a straightforward interface
- Increase adoption: design workflows your whole team can begin using immediately, no matter their level of expertise, or location.
- Manual and automated: increase utilization by designing for manual execution then convert to automation instructions when you need them.

Preview Your Run Before You Get Started
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Increase confidence: simulate and validate manual and automated steps before they happen to give yourself peace of mind about what will be going where.
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Transfer automation: standardize and share a common frame of reference for automation instructions that everyone in your team can understand.
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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 Work and Preserve Contextual Data
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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.
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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
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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.

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

Build Once, Run Often, Change When You Need
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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.
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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.
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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.

Context-Rich Data Now, and in the Future
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Give context to your data: your data and metadata are aggregated directly and structured in the context of the experiment you designed.
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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.

Design With Simple Drag and Drop Tools
- Lower barriers to entry: automate tedious work, elevate complex workflows, and increase usability with a straightforward interface
- Increase adoption: design workflows your whole team can begin using immediately, no matter their level of expertise, or location.
- Manual and automated: increase utilization by designing for manual execution then convert to automation instructions when you need them.

Preview Your Run Before You Get Started
-
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 Work and Preserve Contextual Data
-
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.

Run Protocols on Lab Automation Equipment
-
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.

Build Once, Run Often, Change When You Need
-
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.

Context-Rich Data Now, and in the Future
-
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.

Four More Ways Synthace Makes Your Experiments More Likely to Succeed
We've added new features to the Synthace platform that address experimental challenges directly. We think you're going to like them.
Read the blog