NEW YORK, April 8, 2024 /PRNewswire/ -- Tech company Multiverse has acquired Searchlight , a talent intelligence and skills assessment platform that uses AI to help companies close their skills gaps.California-based Searchlight was founded in 2018 by twins Anna Wang and Kerry Wang. The Stanford graduates started their journey with Y Combinator, and have since been recognized by Forbes 30 under 30. The company also received investment from top venture capital firms including Founders Fund and Accel.Searchlight Founders - Kerry and Anna WangSearchlight has been at the intersection of AI and skills for the last six years, building a bias-free AI engine that understands competencies, soft skills, working styles, and job requirements. Data shows it is capable of identifying candidate matches and mismatches four times more accurately than traditional hiring techniques.Accelerating AI implementation at MultiverseThe combination of Searchlight's technology and talent will accelerate the use of generative AI and machine learning at Multiverse. Searchlight's custom-built and bias-free AI engine will enhance Multiverse's ability to identify, analyze, and close skills gaps within organizations through programs that are closely mapped to customer business needs.Multiverse partners with more than 1,000 organizations to deliver training in areas such as data analytics and software engineering. Its training model is built on a new kind of apprenticeship that is measured, applied, guided, and equitable, and its tech platforms exist to ensure learners have access to a high-quality, personalized experience that delivers measured ROI for their employers.Searchlight is the second acquisition for the company, following the purchase of Eduflow, another Y Combinator company, in May 2023.The Searchlight team will join Multiverse to spearhead the integration of its talent intelligence technology into Multiverse's platform and lead Multiverse's AI initiatives

Searchlight announced the general availability of its platform TRACY's version 2.0.

Searchlight's latest talent recommendation engine, dubbed TRACY, predicts good hires four times better than interviewsSAN FRANCISCO, Nov. 14, 2023 /PRNewswire/ -- Searchlight, a leading talent intelligence company, announced today the general availability of version 2.0 of its AI platform to introduce a new age of confidence and efficiency in the hiring process. The new AI engine dubbed TRACY, the Talent Recommendation Agent Customized to You, is the result of five years of product research, feedback from Searchlight customers, as well as hundreds of thousands of data points on candidates and post-hire success in a range of roles.Searchlight"As C-Suite executives are looking to find more efficient ways to grow their business, talent leaders and hiring managers are under increasing pressure to find those who are the best fit for open roles with fewer resources while fielding larger candidate pools," said Kerry Wang, CEO/co-founder of Searchlight. "Our goal with TRACY is to reinvent the hiring paradigm by combining AI with human expertise, industrial-organizational psychology, and behavioral science to reliably create high-performing teams while doing it as efficiently as possible."TRACY has been tested on thousands of candidates that have gone through Searchlight over the years. Data shows that the AI engine is capable of identifying top candidate matches and mismatches four times more accurately than traditional hiring techniques.TRACY provides recommendations and concise explanations to streamline manual work, so that recruiters are empowered to advise the business and hiring managers can make decisions confidently. More specifically, TRACY is already helping customers with the following use cases:Filtering for top applicants out of thousands, based on likelihood of post-hire successEliminating the need for screening interviews like the culture interview or recruiter screenIdentifying skills and behaviors of top performers and finding the best matches within the candidate poolSaving recruiters and managers time and effort in making talent decisions that improve the businessStory continues"The status quo in recruiting is full of time-consuming and manual activities that make it difficult for talent teams to deliver consistent results