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What is PitchMe?

PitchMe is an advanced recruitment data intelligence platform designed to transform candidate databases into high-performing hiring engines. It focuses on enriching, verifying, and structuring candidate data to improve accuracy and usability. The platform enables automation across recruitment workflows, including AI-powered matching, outreach, and sourcing. PitchMe eliminates manual data entry by automatically cleansing and deduplicating records, ensuring consistency across systems. It provides verified contact details, improving outreach success rates and reducing communication failures. The platform offers analytics and insights that help recruiters identify trends, gaps, and opportunities within their talent pool. PitchMe integrates with applicant tracking systems (ATS), allowing seamless data flow and workflow automation. It supports compliance by maintaining data traceability and ensuring adherence to regulatory standards. The platform helps recruiters engage passive candidates more effectively by providing deeper context and career intelligence. It reduces time-to-hire by making candidate data more actionable and accessible. PitchMe is designed for scalability, supporting recruitment teams as they grow and handle larger datasets. It enhances decision-making through data-driven insights and automation. Overall, PitchMe delivers a powerful solution for modern recruitment teams looking to maximize efficiency and hiring performance.

What is PitchCentric?

PitchCentric is an innovative online platform tailored for podcast outreach, serving founders, industry experts, content creators, communications teams, and public relations agencies seeking chances to engage in podcast interviews. This resource empowers users to discover relevant shows, assess the compatibility of their subjects with potential interviews, and estimate their likelihood of securing bookings, all while enabling them to create pitches inspired by recent podcast episodes and send outreach directly from their Gmail or Outlook accounts. With a vast database of over 800,000 podcasts across more than 180 countries and tracking 13 essential data points for each show, PitchCentric offers in-depth insights. The platform features a Booking Probability score, refreshed every hour, which considers factors like Listen Score, virality, guest availability, and topic relevance, providing users with a comprehensive understanding of their outreach potential. Users can explore a free plan that grants access to the podcast catalog along with five pitch credits each month, while paid subscriptions open up further outreach functionalities. Additionally, PitchCentric boosts its capabilities through integration with Claude and ChatGPT via an MCP connector, enhancing its utility for podcast outreach. This combination of advanced features and user-centric design solidifies PitchCentric's role as an indispensable tool for those eager to amplify their podcasting prospects, ensuring they stay ahead in the ever-evolving landscape of audio content.

Media

Media

Integrations Supported

Bullhorn
Greenhouse

Integrations Supported

ChatGPT
Claude
Claude for Legal
Gmail
Microsoft Outlook
Model Context Protocol (MCP)

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$39/month
The entry plan is $39 per month when billed monthly, or $31.25 per month equivalent when billed annually ($375 per year).
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

PitchMe

Date Founded

2019

Company Location

United Kingdom

Company Website

pitchme.co

Company Facts

Organization Name

Centric Labs

Date Founded

2026

Company Website

www.pitchcentric.com

Categories and Features

AI Recruiting

Not specified

Job Board

Matching Engine
Resume Search

Recruiting

Not specified

Categories and Features

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