Helical AI provides a Virtual AI Lab platform that bridges the gap between machine learning models and biological decision-making in R&D. The platform offers biologists self-serve tools for designing and evaluating in-silico experiments, while ML engineers gain a production environment for model personalization and alignment. This integrated approach accelerates discovery in areas like target identification and therapeutic design, leading to higher hit rates for pharmaceutical research teams.
Funding
$2.4M 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
Drug discovery is a complex and time-consuming process, often hindered by the challenge of effectively leveraging vast amounts of biological data to identify promising therapeutic targets and biomarkers. Traditional methods struggle to efficiently integrate and analyze diverse datasets, slowing down the development of new treatments.
Solution
Helical offers an open-core platform designed to streamline drug discovery by integrating DNA and mRNA Bio Foundation Models. The platform enables researchers and developers to leverage biological data for target identification, biomarker discovery, patient stratification, mRNA sequence design, and gene therapy design. By providing access to both open-source and proprietary models, along with a large data atlas, Helical accelerates the process of building and applying AI to complex biological use cases. The platform also offers native access to high-performance computing resources, ensuring efficient model execution in production.
Target Audience
Helical's primary customers are pharmaceutical companies, biotechnology firms, and research institutions involved in drug discovery and development.
Features
- Instant access to open-source and proprietary DNA & (m)RNA Bio Foundation Models
- Large data atlas for improved training, fine-tuning, and benchmarking of model performance
- Use Case Marketplace featuring cutting-edge scientific applications of Bio Foundation Models
- Native access to HPC resources for efficient execution of Bio Foundation Models
- Tools for target identification, biomarker discovery, patient stratification, mRNA sequence design, and gene therapy design
- Integration with existing research workflows
- Support for building custom models from scratch