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Funding
$125K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Biotechnology companies face challenges in designing, implementing, and deploying machine learning models that effectively utilize biochemical data. Existing machine learning operations (MLOps) platforms often lack the specific tools and interfaces needed for multidisciplinary teams of chemists, machine learning engineers, and biologists to collaborate efficiently. This can lead to increased model debugging time, higher costs, and suboptimal model accuracy.
Solution
Trident Bioscience offers an MLOps platform tailored for the biotechnology industry, facilitating the design, implementation, and deployment of machine learning models that leverage biochemical data. The platform provides tools that seamlessly translate between data representations familiar to scientists (e.g., SMILES strings and protein structures) and those required by ML engineers. By enabling chemists and machine learning engineers to collaborate effectively, Trident Bioscience improves model accuracy and reduces the time and costs associated with model development. The platform also simplifies model deployment with engineer-friendly tools and provides scientist-friendly interfaces for generating predictions.
Target Audience
The primary users are biotechnology companies, including chemists, machine learning engineers, and team leads involved in developing and deploying machine learning models for biochemical data analysis.
Features
- Purpose-built MLOps platform designed specifically for the biotechnology sector
- Tools for seamless translation between scientific data representations (SMILES strings, protein structures) and ML-engineer-friendly formats
- Facilitates collaboration between chemists, machine learning engineers, and biologists
- Streamlines the design, implementation, debugging, and deployment of ML models
- Engineer-friendly deployment tools built on industry-standard tools like Git
- Flexible, intuitive interfaces for scientists to quickly employ models
- Trident Chemwidgets: A free, open-source toolkit to help chemists and machine learning engineers easily input, analyze, and split chemical data sets.