applicant-tracking-system
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MochaCare
MochaCare is a San Francisco startup in Y Combinator's Winter 2026 batch that runs the back office of home care agencies. It pairs AI agents with human operators to handle hiring, scheduling, and client intake end to end, so agency owners can spend less time on operations and more time growing and serving their communities.
Moka
Moka (MokaHR) is an AI-native HR SaaS company founded in 2015 in Beijing that builds recruiting and human-capital-management software for mid-market and enterprise employers. Its platform combines an applicant tracking system, talent CRM, recruitment automation, analytics, and the Moka Eva AI assistant to speed up hiring and HR operations. Moka reached unicorn status after a $100M Series C led by Tiger Global in 2021 and serves 2,000-3,000+ brands, including roughly 30% of the Fortune 500, with a growing presence in Singapore and Southeast Asia.
X0PA AI
X0PA AI is a Singapore-based HR technology company that builds an AI-powered talent acquisition platform to make hiring more objective, faster and less biased. Founded in 2017 by serial entrepreneur Nina Alag Suri, the SaaS platform uses machine learning, predictive analytics and natural language processing to source, screen, score and rank candidates for enterprises, governments and universities. It has since expanded into an agentic AI suite of named hiring agents and positions itself around responsible, explainable AI, having become one of the first HR-tech firms to earn Singapore's AI Verify certification.
Daniel Chait
Daniel Chait is the co-founder and CEO of Greenhouse Software, the New York-based recruiting platform he started with Jon Stross in 2012 to help companies make hiring a competitive advantage. A University of Michigan computer engineer who spent more than a decade as a software consultant and previously co-founded the investment-banking tech firm Lab49, Chait built Greenhouse around the idea of 'structured hiring.' He is co-author of the book Talent Makers, a frequent conference speaker, and a vocal commentator on how AI is reshaping recruiting - including his warning about an 'AI doom loop' flooding both job seekers and employers.
Flo
Flo (formerly Flo Recruit) is an Austin-based software company building the talent platform for the legal industry. It connects law firms, law schools, attorneys, and search firms through a connected suite of recruiting and performance-management tools - including an applicant tracking system, the Flo Forward career platform, pipeline building, and Flo AI. Founded in 2017 by University of Texas students Katherine Allen and Atreya Misra, the company works with roughly 70% of AmLaw 100 firms and 85% of the top 50 U.S. law schools.
Greenhouse Software
Greenhouse Software is a New York-based hiring platform that helps companies run structured, data-driven recruiting. Founded in 2012 by Daniel Chait and Jon Stross, it centralizes applicant tracking, interview scorecards, candidate sourcing, onboarding and reporting into one system used by more than 7,500 organizations. Rather than pushing automation for its own sake, Greenhouse pitches 'structured hiring' - a consistent, comparable process for evaluating candidates - and has layered in AI tools and fraud detection to keep that process reliable as application volumes surge.
Katherine Allen
Katherine Allen is the co-founder and CEO of Flo Recruit (branded as Flo), an Austin-based vertical SaaS company that builds recruiting and hiring software for the legal industry. She started the company as an undergraduate at the University of Texas at Austin, went through Y Combinator in 2019, and left school to build Flo full time with co-founder Atreya Misra. Today Flo partners with more than 125 law firms, including close to 70% of the AmLaw 100, and over 100 law schools serving 25,000-plus students, and has raised roughly $5.5 million-plus across seed and a 2025 Series A round.
Fountain
Fountain is a San Francisco-based software company that builds an AI-native hiring and workforce-management platform for the frontline - the hourly, deskless, high-turnover workers who staff restaurants, warehouses, retail floors, delivery fleets, hospitals and factories. Founded in 2014, its platform sources, screens, hires, onboards and schedules workers at high volume, and it has moved aggressively toward autonomous 'agentic' AI with products like Frontline OS and its orchestrator agent Cue. Fountain says it helps more than 500 employers hire well over a million frontline workers a year, and counts brands such as Chipotle, Stitch Fix, GoPuff and Just Eat Takeaway among its customers.
Keka HR
Keka HR is a cloud-based human resource, payroll and people-operations platform for small and mid-sized businesses. Founded in Hyderabad in 2014 by Vijay Yalamanchili, it bundles payroll, attendance, leave, performance, hiring and employee-engagement tools into a single self-serve system. After bootstrapping for years, Keka raised a $57 million Series A from WestBridge Capital in 2022 - reported as India's largest Series A in SaaS at the time - and now serves thousands of companies while processing payroll for more than a million employees each month.
SupportFinity
SupportFinity is a San Francisco AI-native recruitment platform that replaces the tangle of separate sourcing, ATS, and assessment tools with one system. It searches a database of roughly 2.1-2.4 billion candidate profiles, auto-generates job descriptions, screens and assesses candidates with proprietary AI agents, benchmarks salaries across 180 countries, and offers a recruitment-as-a-service network of 2,000+ recruiters. The company says it cuts time-to-hire and cost by up to 90% and serves 700+ companies worldwide.
Moe Nada
Moe Nada is the CEO and cofounder of SupportFinity, a San Francisco AI-native recruitment automation platform that sources across more than 2.1 billion profiles and runs the full hiring lifecycle through proprietary AI agents. A UC Berkeley MBA with roughly two decades across HP, HPE, IBM and OpenText, he moved from software engineering into product, implementation and customer success before betting that the resume-screening grind belongs to machines and judgment belongs to people.