Industry-first single-molecule analytics. Characterize proteins at 1000x lower concentrations.
Observing individual binding events at the microscopic level via brief-binding fluorescent probes.
Characterize proteins at concentrations 1000x lower than conventional methods (50pg+).
Works directly on bioreactor samples without filtration. No purification required.
Measuring sugar modifications affecting effector function and clearance.
Detecting protein clustering that impacts immunogenicity & stability.
Simultaneous readout of production concentration and molecular heterogeneity.
Automated QC and semantic models ensure analysis-ready data from day one.
ML models rank candidates by predicted manufacturing success weeks early.
Cross-program learning transforms development from craft to data science.
6-8 week faster selection. Go/No-Go decisions at Week 4 instead of Week 12.
Reduce manufacturing failures from 40% to <20% via data-driven selection.
Universal application across CHO, HEK293, E. coli, and cell-free systems.
From sample to insight in milliseconds.