ZP
Zehra Parlak
I'm working on
2 months ago
nanovisQ, an extremely small volume rapid viscometer. The automation for nanovisQ is an ongoing project. Also working onvisQ.AI, which combines microliter-scale nanovisQ measurements with local ML to predict viscosity of protein formulations.
I'm looking for
10 months ago
Pilot study opportunities, fee-for-service viscosity profiling projects, and partners interested in deploying a full integrated nanovisQ + visQ.AI solution within their formulation or developability workflows. We can also do co-development for specialized models.
About
QATCH develops tools that make viscosity measurable and predictable early in biologics development. Our core platform, nanovisQ®, is a microfluidic quartz viscometer that delivers full shear-rate viscosity profiles from only 4 µL, eliminating the material and throughput barriers that delay viscosity testing. Building on this capability, we created visQ.AI, an on-premise, formulation-aware machine learning engine trained on large microliter-scale datasets. Together, nanovisQ and visQ.AI address a major bottleneck in high-concentration biologics: viscosity is often measured too late, requires large material quantities, and slows subcutaneous formulation decisions. Our integrated platform enables rapid testing, few-shot prediction, and earlier manufacturability insight.
ZP
Zehra Parlak
Work experience
Top industry applications
Open to opportunities in
AcousticsMaterials ScienceMicrofluidicsRheology
Last updated Aug 2026
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