I started Nevriq Technologies after repeatedly seeing the same pattern: teams get excited about AI demos, but struggle to turn them into something reliable enough to run a business on. The gap isn't intelligence—it's execution: clear scope, the right data, safe workflows, and the operational guardrails that make results repeatable.

My background is in AI/ML software engineering, and I've shipped production AI products across B2B SaaS, insurance, healthcare, and government. Along the way, I've helped an insurance provider reduce call transfers by 70%, built a SMART-goal assistant that increased adoption of a SaaS productivity tool by 30%, and revamped a state DMV FAQ bot that reduced support calls by 60%.

At Nevriq, the focus is simple: start with one high-ROI workflow—like support deflection, internal knowledge onboarding, churn save plays, or VoC automation—then deploy it with the practices that keep it trustworthy: evaluation baselines, confidence gating, human escalation, monitoring, and continuous improvement.

The goal isn't to "add AI." The goal is to reduce workload, protect revenue, and make your team faster—with systems you can actually depend on.