Limmi is a data analysis platform that automates the import and cleaning of clinical data, enabling researchers to analyze multi-modal datasets using over 60 statistical models. By streamlining data preparation, Limmi reduces the time from data collection to actionable insights, facilitating faster drug and biomarker discovery.
Funding
$860K 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
Analyzing complex, multi-modal clinical datasets to identify patterns and accelerate drug and biomarker discovery is often hindered by the time-consuming process of importing and cleaning data. Researchers often face delays in obtaining actionable insights due to the manual effort required to prepare data for analysis.
Solution
Limmi is an AI-powered data analysis platform that automates the import and cleaning of clinical data, enabling researchers to analyze multi-modal datasets using over 60 statistical models and algorithms. The platform automatically collects and structures data from various sources, including EHR records, clinical studies, and genomic databases, eliminating the need for manual data preparation. By streamlining data preparation, Limmi reduces the time from data collection to actionable insights, facilitating faster drug and biomarker discovery. The platform also includes features for automated real-world analysis and trending, allowing users to unlock new insights in their data.
Target Audience
Limmi is designed for researchers, scientists, and data analysts in the pharmaceutical, biotechnology, and healthcare industries who need to analyze complex clinical data to accelerate drug and biomarker discovery.
Features
- Automated data import and cleaning from EHR records, clinical studies, and genomic databases
- Support for multi-modal data analysis, combining genetic, longitudinal, and other data types
- Access to over 60 statistical models and algorithms
- Automated real-world analysis and trending
- Traceability feature that logs all data and user actions for FDA and HIPPA compliance
- Model monitoring from training to development, tracking model drift and other parameters