Lightcast provides the Envisia platform, a high‑throughput microfluidic system for single‑cell functional screening. It isolates thousands of cells to measure biomolecule secretion, cell‑cell communication, and cytotoxic activity in real time, delivering quantitative data and analytics that accelerate research and drug discovery.
Funding
Funding not disclosed
Founders
Product
Problem
Researchers and drug developers lack scalable methods to measure functional behaviors of individual cells, such as secretion profiles, cell‑cell communication, and targeted killing, limiting insight into cellular heterogeneity and slowing therapeutic discovery.
Solution
Lightcast’s Envisia platform provides a flexible, high‑throughput system for single‑cell functional screening. The platform combines microfluidic isolation with real‑time readouts of biomolecule secretion, intercellular interactions, and cytotoxic activity, enabling precise quantification of heterogeneous cell behaviors. Integrated data analytics translate raw measurements into actionable biological insights, supporting both basic research and translational pipelines. By delivering scalable, reproducible assays, Envisia accelerates target identification, candidate selection, and mechanism‑of‑action studies without requiring extensive custom instrumentation.
Target Audience
Primary customers are academic and industry laboratories conducting basic immunology, cell biology, and drug discovery projects that require functional profiling of single cells, including biotech firms developing antibody, cellular, and regenerative therapies.
Features
- Microfluidic workflow that isolates and assays thousands of individual cells in parallel
- Real‑time detection of secreted antibodies, cytokines, hormones, and enzymes at single‑cell resolution
- Quantitative measurement of cell‑cell communication events using paired‑cell co‑culture modules
- Integrated targeted‑cell‑killing assays to assess cytotoxic responses and therapeutic efficacy
- Automated data processing pipeline with statistical and machine‑learning tools for heterogeneity analysis
- Compatibility with standard laboratory equipment and downstream omics workflows