The AI-powered talent intelligence platform for attribute-based sourcing and autonomous recruitment.
Findem is a sophisticated Talent Intelligence platform that utilizes a unique '3D' data approach to candidate sourcing and management. Unlike traditional platforms that rely on static resumes, Findem indexes trillions of data points from over 100,000 sources to create a longitudinal view of a candidate’s career. Its core architecture is built upon a proprietary Knowledge Graph that converts raw data into verifiable attributes, such as 'experienced a successful IPO' or 'built a team from 0 to 50.' By 2026, Findem has positioned itself as the leader in autonomous sourcing, leveraging its AI Copilot to handle high-volume top-of-funnel tasks including discovery, verification, and hyper-personalized engagement. The platform focuses heavily on removing bias through attribute-based matching rather than keyword matching, allowing enterprise talent teams to meet diversity goals with precision. Its integration with major ATS systems like Workday and Greenhouse enables a seamless bidirectional data flow, ensuring that the internal talent database is as enriched and dynamic as the external market data.
Indexes historical data to track candidate growth over time, identifying patterns in career velocity and company transitions.
AI-powered semantic translation of code activity into global professional profiles.
Enterprise-grade AI recruitment automation for sourcing, screening, and hiring top talent at scale.
Enterprise-grade talent intelligence to automate shortlisting and eliminate bias.
The world's largest professional network, powered by generative AI-driven recruitment and labor market intelligence.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A generative AI layer that automates candidate discovery and draft outreach based on natural language search prompts.
Replaces keywords with validated skills and achievements (e.g., 'Founding engineer' or 'Sales leader at high-growth SaaS').
Algorithmic masking and data-driven benchmarking to ensure pipeline parity across demographics.
Applies the same attribute engine to existing employees to identify internal candidates for open roles.
Real-time analytics on competitor talent movements and talent supply/demand heatmaps.
A centralized hub for nurturing passive talent through automated, highly-personalized messaging.
Finding engineers with specific experience in scaling microservices during a hyper-growth phase.
Registry Updated:2/7/2026
Long-term succession planning for VP-level roles.
Filling new roles from within to reduce hiring costs.