Xibus Systems provides a laboratory‑compatible platform that detects food‑borne pathogens such as Listeria, Salmonella and E. coli in large sample volumes using engineered biomolecule‑conjugated super‑fluorescent nano‑beads and custom growth media. AI‑driven image analysis quantifies fluorescence to deliver quantitative results with high sensitivity and low false‑positive rates in under 10 hours while preserving viable bacteria for confirmatory testing.
Funding
Funding not disclosed
Founders
Product
Problem
Food and beverage producers rely on microbiological testing to detect pathogenic bacteria such as Listeria, Salmonella, and E. coli, but conventional plating methods require several days and PCR assays are limited to microliter sample volumes and are destructive, delaying product release and increasing safety risk.
Solution
Xibus Systems offers a laboratory‑compatible pathogen detection platform that combines MIT‑licensed engineered biomolecules, proprietary super‑fluorescent nano‑beads, custom bacterial growth media, and AI‑enhanced analytical software. The labeled beads selectively bind target bacteria in large sample volumes (tens of milliliters), while the growth media suppresses background flora and promotes target proliferation. Captured bacteria remain viable for downstream confirmatory testing. Integrated AI algorithms analyze fluorescence signals to deliver quantitative results with high sensitivity and low false‑positive rates within 10 hours, enabling faster release decisions without sacrificing accuracy.
Target Audience
Primary customers are food manufacturers, beverage producers, and third‑party food safety laboratories that require rapid, high‑throughput testing of raw ingredients, processed products, and packaging environments.
Features
- Patented biomolecule‑bead conjugates that provide pathogen‑specific fluorescence labeling for rapid identification
- Super‑fluorescent nano‑beads delivering high signal‑to‑noise ratios, allowing detection in low bacterial concentrations
- Custom growth media formulated to inhibit non‑target microbes and enhance growth of the target pathogen, improving assay specificity
- AI‑driven image analysis pipeline that quantifies fluorescence intensity, reduces false positives, and reports limits of detection in real time
- Non‑destructive capture of bacteria, preserving samples for confirmatory culture or sequencing if needed
- Scalable workflow compatible with existing microbiology lab protocols, supporting sample volumes up to tens of milliliters versus microliter‑scale PCR
- End‑to‑end software suite delivering results in under 10 hours, with optional integration into laboratory information management systems (LIMS) via API