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Metaview AI

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About the project

Metaview is an AI-powered recruiting platform that helps hiring teams find, evaluate, and hire talent faster.

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Project Overview

The platform uses AI agents to automate notes, sourcing, reporting, and decision-making across the entire hiring process.

Project Goal

Project Goal

The goal of the project was to build an AI-driven recruiting platform that reduces manual work for recruiters and accelerates the hiring process from intake to final offer. A key focus was also placed on ethical, transparent, and secure use of AI in recruitment.

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Solution

Solution

We built an AI-first recruiting platform with a suite of intelligent agents that support recruiters from intake to final offer. The solution automates note-taking, candidate sourcing, reporting, and insights while adapting to each company's hiring process.

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Key Challenges

  • Time loss during interviews and post-interview documentation

  • Inconsistent evaluation and feedback quality

  • Slow hiring decisions due to missing context

  • Fragmented data across ATS, CRM, and scheduling tools

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Key Features

  • AI Notetaker — automatic interview recording, transcription, and structured notes

  • AI Sourcing Agents — 24/7 candidate discovery aligned with role requirements

  • Smart Scorecards — one-click evaluation with evidence-based insights

  • Custom Reports — fully configurable hiring analytics and funnel tracking

Final Interface

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Features Overview

AI-Powered Recruiting Assistant

Automatically records, transcribes, and scores interviews — giving hiring teams structured insights to make faster, more confident decisions.

Features overview
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Tech Stack

Built with React and TypeScript on a Tailwind-styled frontend, served via a Node.js backend, and designed end-to-end in Figma.

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Metrics

0000+

Organizations

Trusted globally by startups, scale-ups, and enterprise hiring teams.

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Saved per recruiter weekly

Average time savings per recruiter — up to 53 hrs/month for teams.

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Better hiring decisions

Users report significantly improved decision quality post-interview.

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Fewer interviews per hire

Faster hiring velocity and more precise candidate signal from day one.

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