CS Genetics provides a scalable single‑cell genomics platform that moves from pilot studies to population‑level projects. Its SimpleCell 3’ Gene Expression solution completes full single‑cell RNA‑seq experiments in a single day, cutting per‑sample costs and removing the need for batching, pooling, or custom hardware. The modular, automation‑ready system delivers consistent, high‑quality data across laboratories and study sizes.
Funding
$2.2M 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
Researchers conducting single‑cell RNA sequencing face high per‑sample costs, lengthy workflows, and the need for custom hardware or complex batching to achieve scale, which limits the ability to move from small pilot studies to large population‑level projects.
Solution
CS Genetics offers the SimpleCell 3’ Gene Expression platform, a modular, automation‑ready workflow that completes full‑length single‑cell RNA‑seq experiments in a single day. The system eliminates the need for custom instrumentation and batch processing, reducing per‑sample cost and turnaround time. Its design integrates seamlessly with standard laboratory automation, delivering consistent, high‑quality data across different labs and study sizes. By providing a scalable, plug‑and‑play solution, CS Genetics enables researchers to expand from proof‑of‑concept experiments to large‑scale population genomics without added complexity.
Target Audience
Primary customers are academic and industry genomics laboratories, biotech companies, and research institutes that need high‑throughput single‑cell transcriptomics for discovery and large‑scale studies.
Features
- One‑day end‑to‑end single‑cell RNA‑seq workflow from cell capture to library preparation
- Modular, automation‑ready format compatible with existing liquid‑handling robots
- No custom hardware required; operates with standard lab equipment
- Low per‑sample cost achieved through streamlined chemistry and batch‑free processing
- Consistent data quality across labs, supported by validated protocols and QC metrics
- Scalable from pilot studies to population‑scale projects without workflow redesign