We built Replixa because triage is not the problem.
Priya spent 3 years leading operations at a B2B SaaS company. Every quarter, support headcount grew to match ticket volume. The tickets didn't get harder — there were just more of them. Most could've been closed in 90 seconds by a well-briefed agent. So we built that agent.
The team
Priya Nair
Co-Founder & CEO
Former VP Operations at a B2B SaaS company. Watched three consecutive quarters of hiring to keep up with ticket volume. Built Replixa to fix the input problem, not the headcount symptom.
Dev Patel
Co-Founder & CTO
Backend infrastructure engineer with a background in API integration platforms. Previously built data pipeline tooling used by 200+ teams. Designed Replixa's resolution loop and multi-API connector architecture.
Sara Lin
Co-Founder & Head of AI
NLP researcher focused on intent classification and information retrieval in operational contexts. PhD work on domain-grounded language models. Responsible for how Replixa understands and routes every ticket.
How we build
Three principles that shape every decision at Replixa.
Deflection is sending a customer an article link and hoping they read it. Resolution is closing the ticket. Every feature we build is evaluated against one question: does this increase autonomous resolution rate? If not, it doesn't ship.
When Replixa escalates, it tells you why. Confidence too low, policy rule triggered, unusual account context — the reason is always visible. We believe AI systems that fail silently are unacceptable in a support context where customers are waiting.
Every Replixa action is auditable. Every escalation is reviewable. Your team can override, adjust policies, and review resolution history at any time. We're multiplying your team's capacity, not replacing their judgment.