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SynthaceGPT

We recently combined ChatGPT with the Synthace platform to design protocols for biological experiments and automate lab work. Helping scientists achieve much more in the lab, so research progresses faster. Still a working POC, but being developed further.

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Main features: Synthace provides structured experimental methods and automation software, supporting multifactorial Design of Experiments (DOE), assay development, media optimization, and miniaturized purification process development. The software integrates with existing lab dispensers to standardize experimental workflows for reliable outputs.

Main characteristics: 1. Dedicated specialist support: Field Application Scientists (like Ross Kent and Erika Wiseman) act as an extension of the in-house team, lending decades of experience; 2. Immediate value realization: No waiting around to realize value, see results from the first experiment using the scientists and dispensers already in the lab; 3. Path to standardized insight: The software structures the approach to experimentation to ensure reliable outputs for better go/no go decisions every time.

Target users: Drug discovery teams, assay development scientists, biological R&D researchers.

Core advantages: More robust assays, taking months off discovery biology; increased experimental throughput by over tenfold; allows scientists to walk away from creating 24-48 constructs and focus on other tasks; changes the way experiments are thought about and communicated.

Typical workflow: 1. Deliver starter projects: Help identify a few impactful projects to deliver straight away; 2. Provide the right tools and knowledge: Help a team adopt tried-and-tested methods for designing experiments with lots of variables and show how to automate them with Synthace’s software; 3. Scale organization-wide: Apply the approach across drug discovery teams, helping scientists become self-sufficient over time for faster, definitive results.

Pricing model: The page does not list explicit pricing; users must request a demo, indicating a contact-for-pricing model.

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