Today, when companies and recruiters conduct interviews, they rely on scattered notes, memory, and subjective opinions across multiple rounds, often spread across emails, documents, and different tools. This is unacceptable because interview feedback is inconsistent, context is lost between rounds, decisions are influenced by bias rather than evidence, and hiring outcomes depend more on individual judgment than structured evaluation. We envision a world where every interview is captured, structured, and analysed in real time, where hiring decisions are backed by clear, comparable signals across all candidates, and where every stakeholder operates with full context and confidence. We are bringing this world about through AI-powered interview intelligence, real-time transcription and analysis, structured evaluation frameworks, and a unified decision layer that transforms interviews into reliable, decision-ready data.