Find candidates a keyword search can miss.
Talenty combines discovery across multiple sources with AI matching. It analyses skills, experience and role requirements, brings profile information together and prioritises relevant talent—including people who are not actively applying.
Account Manager
Recognise relevant experience
One requirements profile guides the AI search.
Start with the open role: which skills are essential, what experience matters and which qualifications complement the profile? Talenty uses these requirements to guide discovery and matching. Your recruiting team works from one shared brief rather than recreating the same search on every platform.
- Define essential skills, experience and certifications
- Include specialisations and technical depth
- Reuse requirements for discovery, matching and outreach
Discover talent where expertise becomes visible.
Multi-source research expands your reach beyond applications and traditional job boards. Talenty draws on professional networks and specialist communities such as LinkedIn, GitHub and Stack Overflow. For specialist roles, projects, repositories or publications can add evidence of relevant expertise. Passive candidates become part of your active pipeline.
- Connect professional networks and specialist sources
- Discover people who have not submitted an application
- Research niche skills and unusual skill combinations
Machine learning beyond keyword matching.
A relevant profile is more than a collection of matching terms. AI matching considers relationships between skills, relevant experience and areas of expertise. Specialist searches also depend on the combination and depth of competencies. The result is a prioritised candidate list that helps your team focus its next review.
- Compare skills and experience with role requirements
- Prioritise candidates against defined criteria
- Make skill areas visible for specialist review
Turn scattered information into a useful profile.
Natural language processing helps analyse CVs and profile text and structure relevant information. Data from different sources is brought together, while duplicate detection reduces repeated records. Assessments can update when new information becomes available, giving your team a connected view instead of researching the same person repeatedly.
- Structure CV and profile information
- Detect duplicate profiles and combine information
- Update AI scores as new profile information becomes available
Build talent pools that outlast one vacancy.
An interesting candidate may become relevant at a later date. Organise profiles by discipline, role or future need and keep promising contacts available for subsequent searches. Source tracking helps show where relevant profiles come from, so each search contributes to future recruitment as well as the current vacancy.
- Organise pools by role, skill or department
- Return to relevant contacts for future openings
- Track source quality and pipeline development
Move from AI discovery to personal outreach.
The workflow stays connected: define requirements, search sources, match profiles and review prioritised results. Prepare outreach using the role and candidate profile as context. AI handles research and information structuring while your team focuses on professional assessment and the next appropriate conversation.
- Review prioritised matches with hiring managers
- Use profile information for personalised messages
- Connect discovery, talent pools and communication