ENPICOM provides a unified bioinformatics platform that integrates scalable data management, machine learning frameworks, and user-friendly analysis tools for lab and data scientists. This solution streamlines biologics discovery and engineering processes, enabling rapid data retrieval and model deployment while reducing reliance on specialized data science support.
Funding
$7M 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.
BBFounders
Product
Problem
Biologics discovery and engineering require complex bioinformatics workflows, often creating bottlenecks due to disparate data management systems and reliance on specialized data science support. This can slow down research, hinder collaboration between lab and data scientists, and limit the effective deployment of machine learning models.
Solution
The ENPICOM Platform is a unified bioinformatics solution designed to accelerate biologics discovery and engineering. It integrates a scalable data foundation, advanced machine learning frameworks, and user-friendly analysis tools within a single platform. This integration streamlines data access, simplifies analysis workflows, and enables seamless collaboration between lab and data scientists. By consolidating pipelines and providing direct access to AI models, the ENPICOM Platform reduces complexity, enhances data integrity, and empowers researchers to make faster, more informed decisions.
Target Audience
The primary users are lab scientists, data scientists, and ML scientists involved in biologics discovery and engineering, vaccine research, and related fields.
Features
- Scalable data foundation for effortless data access and management
- Streamlined pipelines that can be configured to accommodate specific wet lab protocols, project needs, or research goals
- Direct access to AI models, enabling lab scientists to effectively use machine learning in their research
- User-friendly interface designed for both lab scientists and data experts
- Comprehensive API for seamless integration with existing research ecosystems, LIMS systems, and bioinformatics pipelines
- Tools for sequence annotation, developability assessment, hit selection, diversity picking, hit expansion, and enrichment analysis
- Integrated system for model training, tracking, and deployment, streamlining the entire ML lifecycle