Findem

Findem is an AI deal finder tool. Findem combines a large people dataset with AI agents for sourcing, screening, interviewing, assessments and workforce planning. It targets talent acquisition, HR, executive search and venture teams that want one platform instead of separate sourcing and interview tools.

Findem is a people intelligence platform that pairs a large people dataset with AI agents built for recruiting, hiring and workforce planning. Instead of keyword searching a static resume database, teams query a continuously refreshed pool of professional profiles and let the system surface candidates who match on attributes, experience and signals rather than exact title strings. The stated goal is speed and confidence: faster shortlists, better calibrated hiring decisions, and planning that draws on the same underlying data. The product surface is broad for a recruiting tool. Sourcing and talent analytics sit at the core, alongside talent marketing, network intelligence and market intelligence for competitive and regional insight. A separate interview stack covers one way and live video interviews, coding interviews and assessments with coding simulations. Several narrow agents automate individual steps: screening, scheduling, calibration, assessment support, application boosting, identity verification and veteran sourcing. An authenticity suite and AI proctoring address fraud and integrity in high volume pipelines. In practice a recruiter builds a search in natural language, reviews AI ranked matches, and routes strong profiles into outreach or an interview flow. TA leaders use the analytics and market views to benchmark talent pools and plan headcount. Startups, venture and private equity teams, regional employers and executive search firms each get a packaged solution, and the Studio environment lets teams trial individual agents before committing to a wider rollout. Job boards and an intelligent job post product extend reach on the candidate side. Where Findem differentiates is the combination of data and agents in one system, which reduces the number of point tools a talent team stitches together. The trade off is that the value depends on a team adopting the whole workflow rather than one search box, and public pricing is not published on the site, so buyers should expect a sales led evaluation.