AdeptID

?? With recruiter tenure at an all-time low, our AI can help new recruiters make successful placements fast because it’s: ?? Purpose-built: Our matching recommendations sit in your ATS and instantly shortlist the best-fit candidates. ?? Explainability: Our AI offers summaries and easy to read reports to Recruiters and Account Managers on why those candidates are a good fit for the role. ?? Result Driven: Users of our Talent Matching AI have seen 6x improvement in time to hire. Let’s increase recruiter productivity together! #BestFitCandidates #FillRolesFaster?

If you’re still spending time manually sorting and shortlisting candidates, you’re missing out! The good news is that our talent matching AI integrates directly into your ATS so you won’t need to log into another thing. ?? This is your sign to book a demo here: https://lnkd.in/dWtNtGDa #CandidateShortlisting #CandidateRanking #BestFitCandidate

?? Here’s another snippet from our CEO, Fernando Rodriguez-Villa’s feature on Felix Mitchell’s Talent Bytes. In this video, he talks about how we have purposefully crafted our AI in a skills-first way, leading to more accurate recommendations. We are your partner in developing talent matching AI that integrates directly into your ATS. Our software is built for you. Let’s match together! #SkillsFirstMatching #CandidateMatching #StaffingTech #HRTech #WorkforceTech

Our founders, Fernando Rodriguez-Villa and Brian DeAngelis, attended Zeal Capital Partners’s Summit 2024 this Wednesday and Thursday in Washington DC. Fernando spoke in a panel, “The Evolving Workplace: Gig Economy, Tech Innovation, and the Future of Work” alongside leaders Brandon Busteed, Rilwan Lawal ????, and Jennifer Dulski. We are proud to have?Zeal’s support which has helped us get more people into better jobs, faster.?

?? We're excited to announce the addition of TWO new members! ?? Holly Mandel, our new Machine Learning Engineer, comes from Quant Finance, where she built machine learning algorithms for high-frequency trading. She has a Ph.D. in mathematics from UC Berkeley. Spencer Rhodes, our new Software Engineer II, comes from Amazon Web Services (AWS) where he worked on Resource Explorer, contributing to its initial launch in 2022 and later participating in feature launches. He was also a founding engineer at Umax, a project that achieved over 8 million iOS downloads and multimillion-dollar ARR. We are thrilled to add their expertise to the team and can't wait to see the incredible work they'll do ?? #TeamGrowth #NewHires #WelcomeAboard

Our CEO, Fernando Rodriguez-Villa, was recently featured on Felix Mitchell’s Talent Bytes. In this snippet, he talks about how our talent matching AI is revolutionizing recruiting with its explainability and transparency. Our purpose-built AI offers recruiters: ?? Accurate Recommendations: Receive match scores, attribute scores, and shortlists of selected candidates so that recruiters can find the best-fit candidates faster.? ?? Explainability: Match Narratives that explain a shortlisted candidate’s fit for the role. Because AI shouldn’t be a black box! ? Efficiency: Recruiters are able to send the match narrative to hiring managers and decision-makers, making explaining and pitching the candidate(s) easier. Are you ready for the future of recruiting? We couldn’t be more excited ? #FutureOfRecruiting #ExplainableAI #MatchNarratives

Thank you to Ericka Hyson and the Workforce Observer podcast for highlighting how AdeptID’s match and skill inferencing AI can uncover overlooked talent that is not caught by Boolean searches. Check out AdeptID’s mention here: https://lnkd.in/eiSiiJfG #HiddenTalent #CandidateMatching

Want to learn more about our AI governance strategy? We are excited to announce that we are featured in a Credo AI case study. We’ve teamed up with Credo AI to run bias assessments of our data and models. As a leader in Responsible AI Governance, we: ?? Regularly conduct technical assessments of our data and models ?? Undergo third-party audits to ensure transparency and compliance Check out the case study to learn more: https://lnkd.in/evS-jSE6 #ResponsibleAI #AITransparency #ThirdPartyAudited

That’s a wrap! We had a blast at #StaffingWorld - thanks American Staffing Association! Some conference takeaways: ?? Staffing firms are sitting on large rolodexes of talent, but these databases are so hard to search that Recruiters still go to paid sources like Indeed / ZipRecruiter when an order comes in. This is an obvious opportunity to improve bottom-line with predictive matching. ?? Staffing is a huge industry, but the staffing community is collaborative and relationship-driven, making it feel small. We hugely valued the community we were able to build, especially at Thrive and the Women of Color in Staffing breakfast. ?? Agencies are hungry for ways to use AI, but are still trying to nail down the use cases that free up time and allow them to focus on the human elements of their work. ??Every macro-economic challenge in the news has a staffing problem behind it! For example, light industrial jobs power the supply chain; a shortage of agricultural workers mean food prices go up. The work this industry does is so important! ?? Staffing Passion! Even in the face of a uniquely challenging period for the industry, the leaders we met?had fire for their firms and solutions! They were eager to share their ideas, challenges, and everything in between. It was great getting to talk to and hear from industry (and life) experts such as: Michelle D. Sims, Kendra Cato, Lauren B. Jones ??, Ericka Hyson, Molly Fletcher! See you next time, Nashville! ? #ThriveLive #FutureOfStaffing #CandidateMatching From Video: Katie Sievers, Fernando Rodriguez-Villa, Katie Kamio and swine industry expert, Reina Rivera

It might not sound like a big deal, but we recently updated our modeling FAQs! Why do you ask ... because we insist on AI that is transparent, fair, and accountable. In building and using AI the right way, we have four practices of transparency that guide our thinking. Practice 1: Document the modeling process Practice 2: Make models explainable, while preserving their ability to delivery high-quality results Practice 3: Measure model performance Practice 4: Make models fair So we encourage you to take a look to understand how we're using AI and our models to better assess the fit between candidates and jobs. https://lnkd.in/eahc_h8K