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AI-powered candidate search

Serra is an AI-driven search engine for recruiters to find best-fit candidates. Connected to your ATS and external candidate sources, recruiters can search “B2B sales reps that have managed key enterprise accounts” and see top matches.

Serra
Founded:2023
Team Size:2
Location:San Francisco
Group Partner:Jared Friedman

Active Founders

Alan Wang, Founder

Co-founder/CEO @ Serra. Former Data Engineer at Disney+'s Subscriptions team where I learned to put out, and hate, data pipeline fires. Statistics & Data Science graduate from UCLA.

Alan Wang
Alan Wang
Serra

Albert Stanley, Founder

Prior to Serra, I was a CS graduate student at UCLA and worked on software products at Amazon Lab126. In the past, I've built and trained neural networks for the prediction of RNA-DNA hybrids in the genome.

Albert Stanley
Albert Stanley
Serra

Company Launches

✅ Value-Prop:

Cutting down time to hire + increasing quality of candidates top-of-funnel. Try us out at cloud.serra.io.

TLDR;

Instead of manually selecting keywords and reviewing candidates one by one, recruiters can search in plain English on Serra and instantly see the best matches, with all their research done for them. Serra now has ~1 billion candidates in their database, emails and phone numbers included. Watch our demo here.



Hey everybody! We’re Alan and Albert, and we built Serra to speed up time- and increase quality-of-hire for founders and recruiters. We reached out to dozens of founders at Series A and B YC companies and found that hiring the right people, faster, was a recurring painpoint.

❌ Problem:

Hiring requires sorting through hundreds of resumes, reaching out to dozens of candidates, and buying expensive search licenses that still rely on outdated keyword matching. Candidates can game ATS filters by stuffing their profiles with keywords. This wastes months of time and money, often leading to poor hires and this cycle repeating itself.

✅ Solution:

Serra is a vector-based search engine that focuses on understanding the context of each profile. It delivers more accurate matches based on what you actually asked for rather than relying on exact keyword matches. Serra utilizes LLMs to rank and research millions of candidates simultaneously.

Serra fact-checks what candidates put on their profiles—if a candidate claims they have experience in training and deploying machine learning models in production, Serra checks GitHub for tangible evidence.

Serra can also hook up directly to your ATS, allowing you to apply the same search benefits to candidates inside of it.

❓Ask from us:

Try us out with 2 free searches at cloud.serra.io!

For founders aggressively hiring and looking to source better talent faster, book a demo here or drop us a note at alan@serra.io!

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