Amsterdam-based Talenture.ai automates the steps that recruiters typically perform manually between posting a vacancy and holding the first conversation with a candidate. The software operates as a layer on top of existing Applicant Tracking Systems and takes over tasks such as reading applications, checking salary expectations and availability, and scheduling interviews.
Founder Bram van Gestel established the company in 2025. Talenture is currently looking for so-called design partners: early users who can deploy the system free of charge for the first fifty candidates. Three companies have already applied the software to real vacancies.
What the system does
Talenture positions itself not as a replacement for an ATS, but as a complement to one. The software reads every incoming application, assesses the candidate on eight signals and writes that assessment back into the recruiter's existing system. Talenture then contacts promising candidates to confirm practical deal-breakers, such as salary expectations and start date, in advance. Candidates who meet the criteria are automatically scheduled in the hiring manager's calendar.
The matching is built on two standardised skills taxonomies: the American O*NET and the European ESCO. Together these form the basis of a skills graph covering more than 4,600 verified competencies. This allows the system to compare roles and candidate profiles in detail, even when job titles or descriptions vary significantly between employers.
Talenture states that ultimate responsibility remains with the recruiter. The system does not independently decide who is hired; it filters and schedules, so that the recruiter only speaks with candidates who have already cleared the initial practical hurdles.
Pricing model and access
Talenture uses two pricing structures. As a standalone recruitment app, the company charges €299 per booked interview. Those who want to use the software as an AI layer on top of an existing ATS pay from €1 per assessed candidate. There are no fixed subscription costs.
Design partners, the early users the company is now recruiting, receive the initial functionality free of charge for up to fifty candidates. According to the company's own website, no one is paying yet; the business is currently in the early validation phase.
The software has been designed with GDPR in mind. Talenture states on its website that data protection is built into the architecture, although independent audits or certifications have not been confirmed based on the available source material.
Market and context
The market for AI-assisted recruitment is growing rapidly, with a range of international players making comparable promises about time savings in the hiring process. What sets Talenture apart from many competitors is its choice not to work alongside existing ATS systems, but to build explicitly on top of them. Employers therefore do not need to replace their current workflow, which lowers the barrier to adoption.
The integration with O*NET and ESCO is also relevant in a European context. ESCO is the European standard for skills and occupations and is used, among others, by European employment services. By building on that taxonomy, Talenture can in principle also compare vacancies and candidates across national borders, although the company itself makes no explicit claims about cross-border use.
For Dutch and European investors and policymakers looking at AI applications in HR, Talenture is an early example of a startup that bets on an infrastructure layer above existing systems rather than building an entirely new platform. Whether that model works at scale remains to be seen in the coming design partner phase.