
Woo
AI-powered ATS data enrichment and candidate re-engagement.
Date | Investors | Amount | Round |
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- | investor | €0.0 | round |
investor investor investor | €0.0 | round | |
investor investor | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
N/A | €0.0 | round | |
* | $7.0m | Series A | |
Total Funding | 000k |
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Woo.io offers a SaaS platform designed to enhance and automate recruitment and sales processes by maintaining up-to-date data within a company's existing Applicant Tracking System (ATS) and CRM. The company's core technology, an AI-powered Career Tracker, continuously monitors millions of data points to track the career movements of past candidates and clients, including job changes, promotions, and relocations. This enables recruiting teams to re-engage with known talent pools at the most opportune moments, increasing placement efficiency and reducing dependency on third-party sourcing.
Founded in 2015 by Liran Kotzer (CEO) and Ami Dudu (CTO), Woo.io was created to solve the problem of outdated candidate data. The founders, having previously established a successful recruiting agency, recognized that companies lose touch with a significant portion of their candidate database quickly, leading to a repetitive and inefficient sourcing cycle. Initially, the platform operated as a marketplace connecting tech talent with employers, using an AI headhunter named "Helena" to match candidates based on their discreetly provided career wish lists. Over time, the focus shifted to a B2B SaaS model that integrates directly with systems like Bullhorn, Greenhouse, and Salesforce to enrich customer data automatically.
The business model is subscription-based, with companies paying a flat fee based on their usage package. The platform provides a powerful search engine that uses AI to create thousands of smart tags for each profile, allowing for granular searches within a company's own database. For individual tech professionals, the service remains free, allowing them to anonymously gauge their market demand.
Keywords: candidate database enrichment, ATS data automation, AI recruiting, candidate re-engagement, talent sourcing, career tracker, recruitment technology, passive candidate sourcing, data-driven recruitment, sales intelligence, applicant tracking system, CRM data, automated sourcing, talent marketplace, lead generation
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Investments by Woo
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