Synthace
Synthace provides a powerful platform designed for optimizing and automating complex biological experiments and processes. Their offerings include applications like Design of Experiments (DOE) for var
What is Synthace?
Synthace is a platform for designing, optimising, and automating biological experiments. It helps researchers and biotech teams work through complex experimental workflows, from initial assay development through to manufacturing scale-up. The platform includes tools for Design of Experiments (DOE), which guides you through parameter optimisation; molecular biology applications like DNA assembly; and support for common analytical methods such as qPCR and ELISA. Rather than requiring you to manage experiments manually across spreadsheets and notebooks, Synthace organises your experimental data, suggests next steps based on your results, and helps you document what you've done. It's particularly useful if you're running multiple iterative experiments or need to optimise processes before moving to production. The company provides training resources, case studies, and community support to help teams get started.
Key Features
Design of Experiments (DOE)
Structured approach to varying multiple parameters and identifying which factors matter most for your assay or process
Experiment tracking and management
Centralised record of your experimental workflows, conditions, and results
Molecular biology tools
Support for DNA assembly design and related molecular cloning tasks
Analytical assay integration
Built-in support for common methods like qPCR and ELISA
Process development workflows
Guidance through assay optimisation, media development, and purification process design
Educational resources
Access to blogs, case studies, and training courses to support skill development
Pros & Cons
Advantages
- Reduces time spent on experiment planning by automating DOE setup and suggesting logical next experiments
- Centralises experimental data and metadata in one place, making it easier to find past results and spot patterns
- Supports the full development pipeline from early assay work through to manufacturing process optimisation
- Freemium model lets you try the platform without upfront cost
Limitations
- Learning curve for teams unfamiliar with formal Design of Experiments methodology
- Pricing for paid tiers not publicly listed, requiring contact with the company for quotes
Use Cases
Optimising a cell culture media formulation by testing multiple nutrient combinations systematically
Designing and validating a new qPCR assay for gene expression analysis
Planning DNA assembly experiments for synthetic biology projects
Documenting and scaling up a purification process from research lab to pilot production
Managing multiple parallel experiments and comparing results across conditions