What is Metaview?
Metaview is an AI recruiting tool that runs agents across the entire hiring workflow, from candidate sourcing through to the final offer. Hiring teams today waste enormous time on manual work that has nothing to do with actually choosing the right people. Metaview puts AI agents on that work instead, so recruiters can focus on conversations and decisions that need human judgment.
The AI recruiting agents share context with each other across every stage, which means each step gets smarter as the process moves forward. Recruiters, hiring managers, and the agents all work from the same information. The tool is built for everyone involved in hiring, from in-house talent teams at fast-growing startups to enterprise recruiting organizations and agencies.
Metaview AI Video
Features & Benefits
- AI Candidate Sourcing: run an always-on AI recruiting agent that finds high-fit candidates, curates shortlists, and starts outreach tuned to your tone, day or night.
- Application Review: automatically evaluate every inbound application against an Ideal Candidate Profile the AI generates from your job description, then surface the strongest fits first.
- AI Screening Agent: conduct voice-based screening calls with candidates on any device, in multiple languages, with follow-up questions that adapt to each response.
- AI Interview Notes: write, summarize, and structure interview notes automatically in bullet or paragraph form, organized by question, topic, or conversation type.
- Candidate TLDR Summaries: generate one-paragraph candidate snapshots from interview content, customized by topic, ready to share with hiring teams.
- Outreach Sequences: build and send multi-step, multi-channel outreach sequences with per-candidate AI personalization, verified contact data, and automatic follow-ups.
- Recruiting Reports: filter hiring conversations by department, stage, hiring manager, or discussed topic, then query that data to surface trends, compensation benchmarks, and competitive signals.
- Market Research Mode: map talent markets, compare hiring patterns across companies, and analyze employer brand sentiment using AI-generated reports, tables, and charts.
- Self-Calibrating AI: improve screening and AI recruiting decisions over time as agents learn from recruiter feedback, rejections, and completed hires.
- Fraud Detection: flag AI-assisted or fraudulent candidate responses during screening calls, including detection of script use and off-screen cheating.
- Audit Trail and Compliance Controls: access a full log of AI reasoning behind every evaluation, define agent permissions via shared company rules, and get alerts for non-compliant behavior.
- ATS Integration: connect screening calls, application review decisions, and candidate data to ATS stages with two-way sync.
- SSO and Enterprise Security: SOC 2 Type II certified with GDPR, CCPA compliance, and 256-bit encryption.
What can Metaview do?
- source candidates with an AI agent
- screen candidates without a phone call
- review job applications automatically
- generate interview notes from a live call
- write candidate summaries for hiring managers
- send personalized recruiting outreach at scale
- enrich candidate contact data
- detect fraudulent screening responses
- map talent markets and hiring trends
- track pipeline trends across the hiring funnel
Real-World Applications
In-house recruiters at high-growth tech companies may find Metaview useful when hiring volume outpaces team capacity. An AI recruiting agent can source and shortlist candidates overnight, run screening calls before a recruiter ever picks up the phone, and have notes and scorecards ready before the debrief. Teams with a few open roles can move through the funnel at the speed of a much larger team.
High-volume hiring operations, like retail, logistics, or customer support businesses bringing on dozens of people a month, can use the screening agent to assess every applicant in a fair, consistent way. The agent conducts voice-based conversations on any device, supports multiple languages, and surfaces only the candidates who clear the bar. Hiring managers get scored results, not a pile of unreviewed applications.
Recruiting agencies working across many clients and roles may benefit from the shared context model. Notes, scorecards, and application reviews stay organized per role, and the reporting layer lets account managers track pipeline health, spot stalled stages, and answer specific questions about what candidates said during interviews.
Anyone running their own hiring, from a founder filling a first key role to a department head replacing a key hire, can use Metaview without a dedicated recruiter. The AI recruiting agents walk through sourcing, screening, and notes with guardrails that keep humans in control of every final decision.
