EvalQo brings AI and human judgment together — students rehearse with realistic, adaptive mock interviews, and recruiters run an evidence-backed hiring pipeline. Here’s the architecture behind each module.
Mock interviews that feel real.
Rehearse with a live AI interviewer that turns your CV and the target role into a skill model, builds a per-round blueprint, then scores every answer in real time — raising the difficulty when you’re strong, probing when you’re not. You walk away with feedback grounded in exactly what you said.
How it works
Your practice transcripts and scores stay private to your account.
Screen smarter, shortlist faster.
The recruiter side of EvalQo — a full AI hiring pipeline. Candidates apply once, a RAG engine reads every document, a LangGraph agent ranks them against the JD with traceable evidence, and HR approves, interviews, and decides on one audit-trailed rail.
System architecture
RAG reads & indexes every document · the agent ranks with evidence · MCP connects external services · HR stays in control.
Student Practice and Smart Hiring are just the start. We’ll reveal what’s next soon.