Ontologic provides a Data Platform as a Service specifically designed for early-stage biotech companies transitioning research into business. This platform offers secure, out-of-the-box infrastructure enabling bioinformaticians and data scientists to rapidly generate and utilize code and data assets. The service allows scientific teams to focus on innovation by managing computational infrastructure, optimizing resource costs, and facilitating collaboration.
Funding
$1.5M 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.
TEFounders
Product
Problem
Bioinformatics workflows often involve complex data analysis and tool integration, leading to lengthy processing times and hindering rapid insight generation. The disconnect between wet lab and dry lab data further complicates collaboration and efficient data management for scientific teams.
Solution
Ontologic offers a web-based platform designed to streamline bioinformatics workflows, significantly reducing the time required to generate insights. The platform provides pre-packaged analysis modules that enable users to produce initial graphs in minutes. It also facilitates customization through a tool caster, allowing users to view, edit, and save code within existing tools or integrate their own custom tools. By bridging the gap between wet lab and dry lab data, Ontologic promotes seamless collaboration and efficient data management within scientific teams.
Target Audience
Ontologic is designed for scientific teams, researchers, and bioinformaticians in need of a platform to accelerate data analysis, customize tools, and improve collaboration between wet lab and dry lab environments.
Features
- Pre-packaged analysis modules for rapid data processing and visualization
- Customizable tool integration, enabling users to modify existing tools or add new ones
- Web-based interface for accessibility and ease of use
- Built-in workflows for common bioinformatics analyses, such as DESeq2, FastQC, and Cutadapt
- Data provenance tracking to ensure reproducibility and auditability