Aspect Analytics provides a unified platform for integrating and analyzing spatial multi-omics data across different modalities. This solution enables secure data storage, automated workflows, and parallel in-depth analysis for large datasets. The platform facilitates team collaboration through personalized dashboards and role-based access for reliable research outcomes.
Funding
$4.7M 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.
Founders
Product
Problem
Analyzing spatial multi-omics data requires integrating diverse assays like mass spectrometry imaging and spatial transcriptomics, which often results in fragmented data and challenges in collaboration. Managing and analyzing these large, complex datasets can be difficult, hindering in-depth analysis and efficient teamwork.
Solution
Aspect Analytics offers a cloud-based platform designed to unify and analyze spatial multi-omics data, facilitating seamless collaboration and in-depth analysis. The platform integrates data from various spatial omics technologies, enabling users to layer different measurements in a single, joint visualization. It supports data storage and management, intuitive analysis, and team collaboration, allowing researchers to set up automated workflows and run analyses on large datasets in parallel. The platform also provides custom solutions tailored to the specific needs of pharma companies, CROs, and academic institutions.
Target Audience
The primary customers are teams in pharma, CRO facilities, and academic institutions involved in drug development, preclinical research, and spatial omics analysis.
Features
- Secure data storage and management for petabytes of data with customizable infrastructure
- Integration of spatial biology data from different technologies and vendors, regardless of data format
- Automated workflows and in-depth analysis capabilities for large datasets
- Personalized dashboards and user role definitions for team collaboration and control
- Automated QC processes to ensure reliable outcomes
- Co-registration of MSI data with optical images and reference atlases
- Support for various spatial multi-omics assays, including mass spectrometry imaging and spatial transcriptomics