Hyperspecific ICP? Just describe it in plain language. AI finds matching profiles in minutes. LinkedIn extension, semantic search and automatic scoring.
Choose a use case below or ask a free question.
Report, job description, summary...
Prospects, candidates, target accounts...
Client need, context, criteria, constraints...
Profile, skills, experience, note...
Senior cloud developer, fintech CTO, consultant with 5 years experience... Describe what you need. Your best profiles bubble to the top automatically.
Qualify leads, import profiles and run searches without leaving LinkedIn.
No complex keywords. Describe your ideal candidate—AI understands and finds them.
All profiles are ranked by fit. Your best opportunities bubble to the top automatically.
Skills, mobility, experience, industry... Every signal is taken into account to surface the right profiles.
Narrow down by skills, location, experience and more.
Get alerted when new profiles match your criteria.
Identify candidates on LinkedIn and import them into Cobalt in one click.
Find relevant profiles in your existing talent pool with a simple query.
Identify decision-makers and key contacts at your potential clients.
The Cobalt extension installs in one click and integrates with your LinkedIn browsing. You can search profiles, import them into Cobalt in one click, and continue your sourcing without leaving LinkedIn.
Unlike keyword search, semantic search understands the meaning of your query. For example, "senior developer with cloud experience" finds relevant profiles even without those exact words.
Yes, Cobalt lets you search your entire candidate pool with advanced criteria: skills, location, experience, and more. Semantic search also works on your database.