SignalPaths raises $20M to debut UX Labs, a privacy-forward analytics product for designers

Tech · 4 min read

UX Labs aggregates interaction signals—tap heatmaps, conversion funnels, and micro-friction diagnostics—while applying noise-injection and cohort sampling to protect individual identities. SignalPaths argues this lets design teams gain actionable insight without exposing raw behavioral logs.

The Series A was led by RiverGate Capital and the funds will accelerate integrations with design and product tools, plus enterprise data-residency options. UX Labs also offers an experimentation layer that ties prototype variants to measurable user outcomes in controlled test environments.

Early enterprise customers in finance and healthcare were attracted to the privacy controls and audit logs. SignalPaths plans to expand automated design recommendations based on discovered friction patterns and to introduce a plugin for linking Figma frames to observed behavioral metrics.