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What is Findem?

Findem is an AI-powered recruitment platform designed to help talent teams find and attract candidates more efficiently. It works by analysing a large dataset of 1.6 trillion data points covering people and company information, then connecting this data across time to identify relevant candidates. The platform combines several recruitment tools in one place: a sourcing copilot powered by AI, attribute-based search to filter candidates by specific criteria, the ability to rediscover previously overlooked prospects, and a built-in talent CRM to manage relationships. It integrates with existing applicant tracking systems (ATS), includes sourcing analytics to measure pipeline quality, and provides market intelligence to inform hiring decisions. Findem is aimed at recruitment teams, talent acquisition professionals, and HR departments looking to build stronger candidate pipelines faster while maintaining compliance and supporting diversity hiring goals.

Key Features

AI-powered sourcing copilot

suggests candidates and helps refine search queries through natural language processing

Attribute-based search

filter prospects by skills, experience, location, company history, and other specific criteria

Candidate rediscovery

identifies previously contacted or overlooked candidates who may now be a fit

Built-in Talent CRM

manage candidate relationships and communication within the platform

Sourcing analytics

track pipeline quality, time-to-hire, and other recruitment metrics

ATS integration

connects with existing applicant tracking systems for smooth workflow

Pros & Cons

Advantages

  • Large data foundation with 1.6 trillion data points enables more accurate candidate identification across time
  • All-in-one approach combines sourcing, CRM, and analytics, reducing the need for multiple tools
  • Supports diversity insights and compliance features, helping teams meet hiring and legal requirements
  • Freemium model allows teams to try the tool before committing to paid features

Limitations

  • Learning curve required to master attribute-based search and make full use of the platform's capabilities
  • Data accuracy depends on the quality and currency of the underlying database, which may vary by region or industry
  • Pricing for paid tiers not publicly detailed, requiring contact with the vendor for quotes

Use Cases

Mid-to-large recruiting teams building high-volume candidate pipelines for multiple open roles

Organisations prioritising diversity hiring and needing compliance reporting within their recruitment workflow

Companies seeking to reduce time-to-hire by automating routine candidate search and initial screening

Recruitment agencies managing candidate databases and need to rediscover prospects for new client requirements

Teams wanting consolidated analytics on sourcing channel performance and pipeline quality