Serra is an AI-powered talent acquisition platform that automates candidate sourcing and ranking based on job descriptions. It aggregates data from over 12 sources to generate instant, scored shortlists with clear evaluation reasoning. The platform continuously searches for new high-fit candidates and manages outreach and scheduling to move prospects directly to interviews.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Recruiters often spend excessive time manually sifting through resumes and online profiles to identify candidates with the right skills and experience. Traditional keyword-based searches in applicant tracking systems (ATS) and platforms like LinkedIn can be inefficient and fail to surface the best-fit candidates quickly. This process is further complicated by the need to check for fake applications and ensure diversity and inclusion (D&I) goals are met.
Solution
Serra Technologies offers an AI-powered search engine designed to streamline candidate identification and ranking. By integrating with existing applicant tracking systems (ATS) and external databases such as GitHub and LinkedIn, Serra enables recruiters to use natural language queries to instantly find and rank candidates based on specific skills, experience, and predicted job performance. The platform leverages a vector-based search engine to analyze candidate profiles, identify niche skills, and provide insights into candidate fit, helping recruiters efficiently identify top talent. Serra also helps to check for fake applications and provides diversity metrics within the candidate pool to help achieve D&I goals.
Target Audience
The primary target audience includes recruiters and HR professionals at seed to series C+ startups who need to efficiently identify and source top talent from inbound applications and external databases.
Features
- Natural language search processing for intuitive candidate queries
- Integration with applicant tracking systems (ATS) to streamline workflows
- Connection to external databases like GitHub and LinkedIn for comprehensive candidate sourcing
- AI-powered candidate ranking based on skills, experience, and predicted job performance
- Customizable keyword filters to refine search parameters
- Automated candidate sourcing to proactively identify potential candidates
- Diversity metrics to support diversity and inclusion (D&I) goals
- Fake application detection to improve candidate quality