Solu offers a no-code, browser-based platform for microbial genomic surveillance and outbreak detection. It streamlines the analysis of pathogen genomes to rapidly identify species, antimicrobial resistance genes, and transmission patterns, empowering public health professionals with actionable insights.
Funding
$1.1M 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.
+10Founders
Product
Problem
Traditional genomic surveillance workflows for microbial pathogens are often complex, requiring specialized bioinformatics expertise and significant infrastructure investment. This complexity leads to extended turnaround times for critical analyses like outbreak detection and antimicrobial resistance profiling, hindering timely public health responses.
Solution
Solu provides a no-code, browser-based platform designed for real-time genomic epidemiology and pathogen surveillance. The platform streamlines the analysis of microbial genomes, enabling rapid identification of species, antimicrobial resistance (AMR) genes, virulence factors, and plasmid-borne elements. It facilitates efficient outbreak detection and response through an intuitive interface and automated analytical pipelines. By abstracting the underlying bioinformatics complexity, Solu empowers users to gain actionable insights from genomic data quickly, supporting proactive public health interventions and research.
Target Audience
The primary users are clinical microbiologists, infectious disease specialists, epidemiologists, and public health researchers who require rapid and accessible genomic analysis for pathogen surveillance and outbreak investigations.
Features
- Browser-based platform for no-code genomic analysis of microbial pathogens.
- Automated species, subspecies, and clade identification, including Multi-Locus Sequence Typing (MLST).
- Comprehensive antimicrobial resistance (AMR) gene and mutation detection, highlighting high-risk genes.
- Plasmid identification and typing for tracking mobile genetic elements and horizontal gene transfer.
- Phylogenetic tree reconstruction and SNP-based clustering for identifying transmission patterns.
- Virulence factor detection and specific typing for pathogens like STEC and _Klebsiella_.
- Support for both short and long-read sequencing data with integrated quality control tools (e.g., FastQC, Flye, SPAdes, QUAST).
- Automated workflow from data upload (drag-and-drop) to results visualization in minutes.
- Secure, scalable cloud infrastructure with enterprise-grade security and HIPAA-compliant data handling.
- Collaborative workspace features for team-based project management and data sharing.
- Generation of publication-ready reports and interactive visualizations, with export options for raw tool outputs.