People Intelligencefor AI-native hiring.

AI-native hiring has created three massive problems.

Candidates

If AI can't find you, it can't consider you.

Companies are increasingly using AI hiring agents to scan the web, scrape professional profiles, and build lists of potential candidates. These agents can only evaluate you based on the information they find online.

If your work, skills, and achievements aren't visible on the internet, you risk being overlooked for opportunities you're perfectly qualified for. While other candidates get discovered, shortlisted, and contacted, you could be missing opportunities simply because AI doesn't have enough information to find you, or understand what makes you stand out.

Your next big opportunity could exist right now, and you might never hear about it, not because you're not good enough, but because AI never found you.

AI agents

What agents search is scattered, scraped, and shallow. It can say who did what, but not what the work actually was.

No depth

Today's candidate data captures job titles and skills, but misses the context behind them. It doesn't reveal how someone works, what they contributed, how they think, whether they're ready for a move, or what opportunities excite them. Without this depth, AI agents can find more candidates, but struggle to identify the right ones.

We Asked Ourselves

What if we could create a talent data layer that every global AI agent could source hiring data from?1 of 3

What if that data was so precise that it could show the way a candidate thought, approached and creatively solved something? What if the data could showcase candidate intelligence?2 of 3

What if instead of shallow scraped data, we could provide the AI with rich, context-based data, told by the user themselves?3 of 3

THE SOLUTION

A talent infrastructure layer that makes your potential visible to EVERY hiring agent in the world.

Show what you want next, how you think, and what makes you exceptional—beyond your resume.

ORDINARY AGENTIC HIRING

"I'm looking for a database developer who worked at Amazon and has less than 3 years of experience."

A title, a company, and a number of years.

PRECISE AGENTIC HIRING

"Find a PostgreSQL developer who worked for less than 3 years at Amazon, who can fix a deadlock occurring when two concurrent transactions update the same set of customer records in different orders, causing production requests to fail. They must have experience diagnosing deadlocks using PostgreSQL logs, analyzing transaction isolation and lock contention, and implementing a fix without reducing data consistency."

The failure, the method, and the constraint.

THE SOURCED MATCH

Avery Cole

PostgreSQL developer · Amazon · under 3 years

I was a PostgreSQL developer at Amazon for just under three years. Production requests were failing when two concurrent transactions updated the same set of customer records in different orders and deadlocked. I diagnosed the deadlock using PostgreSQL logs, then analyzed transaction isolation and lock contention. I implemented a fix without reducing data consistency.

UniTalent gives you ownership of how AI understands your professional identity, problem-solving approach, what makes you exceptional, and career intentions.