Start with the role. Build the search around what matters.
Paste a job description, add a job URL, use supported job-source data, or start with your own criteria. TalentIntelX helps translate the opportunity into a focused intelligence profile.
Choose Internet First to discover candidates across company websites, industry publications and other public web sources, using LinkedIn for professional context after narrowing the field. You can switch to LinkedIn First for any search.
TalentIntelX brings the scattered pieces of recruiting research into one structured environment. Search, shortlist, research, validate, report - without losing the source context your team needs to make the call.
Paste a job description, add a job URL, use supported job-source data, or start with your own criteria. TalentIntelX helps translate the opportunity into a focused intelligence profile.
Choose Internet First to begin with broader public-web evidence, or LinkedIn First to begin with professional profiles. Apply role-derived criteria and structured filters to focus on people worth evaluating.
Organize professional history, public-source information, identity signals and validation notes into a consistent human-review workflow.
The platform is designed around the full research arc, not a single search box. Move from opportunity to intelligence without rebuilding the process at every step.
Translate the opportunity into the experience, background and leadership profile that should drive the search.
Build and refine a focused candidate universe. Save the people who belong on the shortlist.
Review selected people more deeply with professional, public-source and identity context.
Organize the research into a candidate intelligence summary with source links and uncertainty notes for human review.
Give every recruiter a repeatable process while keeping human judgment where it belongs.
Role title, job description, job URL, or supported job-system reference.
Review role-specific experience, skills, leadership attributes, working style and criteria.
Use filters and search criteria to focus the candidate universe.
Save the strongest possibilities for deeper research.
Organize professional history, public profiles, public activity and configured verification sources.
Review identity confidence, source context and uncertainty rather than hiding it.
Produce candidate intelligence summaries with source context for human review, sharing and export.
AI should make recruiting teams more capable, not less accountable. TalentIntelX is designed to retain source context, distinguish confidence from certainty, and surface information for responsible review.
Understand where information came from and what has been validated.
Flag uncertain matches instead of quietly treating them as facts.
Manage users, access, features, quotas and configured services.
TalentIntelX is a recruiting intelligence platform that helps teams build better candidate searches, identify relevant people, conduct deeper candidate research, organize public and professional information, and create structured candidate intelligence summaries for human review.
Yes. Choose Internet First to discover candidates through public company websites, industry publications, conference pages and other web sources, then use LinkedIn for additional professional context after narrowing the field. You can also choose LinkedIn First for a profile-led search; the source mode is selectable for each search.
No. TalentIntelX is designed to add an intelligence layer around recruiting and candidate evaluation. It can complement the systems your organization already uses rather than requiring your ATS to be replaced.
No. The platform is designed to make recruiters and hiring teams more effective by organizing information, accelerating research, and supporting human evaluation. Final hiring decisions remain with the people responsible for them.
Yes. You can use a job description or other available role information to help build the search and role-intelligence profile.
TalentIntelX brings role intelligence, candidate discovery, deeper research and structured reporting into one focused workflow.