Placewise AI

The problem

Recruiters spend most of their week on screening calls that follow the same script: confirm the CV, ask the same ten questions, chase the no-shows, write up notes nobody reads twice. It's the most repetitive work in hiring, and it's also the bottleneck that decides how fast a company can grow.

The build

Placewise puts a voice-native AI agent on those calls. It phones candidates, holds a natural conversation with dynamic follow-up questions, retries no-shows on its own schedule, and scores every interview against custom rubrics with hire or no-hire recommendations a human can audit.

Around the agent sits a full candidate pipeline: resume parsing that extracts skills and experience, bulk import, application tracking, and GDPR-compliant data exports. It's multi-tenant from the ground up, with role-based access for owners, admins, recruiters and interviewers, branded career portals per company, and a knowledge base that lets the AI answer candidate questions using RAG over each company's own documents, so answers stay brand-accurate and policy-consistent.

The result so far: around 70% of manual screening time gone for the teams using it.

I'm the co-founder and CEO, and I also built it: architecture, implementation, deployment and monitoring, from zero to production.

Lessons

1. [First lesson from taking Placewise from zero to production, in your words.]
2. [Second lesson: something about voice AI in the real world.]
3. [Third lesson: something about wearing the CEO and lead engineer hats at once.]