Matterworks has developed a Large Spectral Model (LSM) that utilizes AI to analyze unstructured biological data, revealing insights that are typically overlooked. This technology addresses the challenge of interpreting vast amounts of omic data, enabling more effective utilization of biological measurements in biotechnology.
Funding
$13.9M 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.
GVFounders
Product
Problem
Analyzing the growing volume of biological data is challenging due to its complexity and unstructured nature, leading to underutilization of valuable omic measurements in biotechnology. Traditional methods often fail to extract meaningful insights from this unstructured data, hindering advancements in the field.
Solution
Matterworks offers an AI platform featuring a Large Spectral Model (LSM) designed to analyze unstructured biological data and uncover previously hidden insights. The LSM technology functions similarly to a large language model, providing a semantic foundation for interpreting complex biological information. By applying AI to unstructured data, Matterworks enables more effective utilization of omic data, facilitating advancements in biotechnology and improving the understanding and prediction of biological processes.
Target Audience
The primary audience includes biotechnology companies and researchers who routinely collect omic data and seek to improve their ability to interpret and utilize this information.
Features
- Large Spectral Model (LSM) for analyzing unstructured biological data
- AI-driven platform to reveal previously hidden insights
- Semantic foundation for interpreting complex biological information