Gloat
Israeli AI-powered workforce orchestration platform that helps enterprises match employees to internal opportunities, optimize talent allocation, and build an exponential workforce.
Visit WebsiteCompany Overview
Gloat is an Israeli HR technology company founded in 2015 in Tel Aviv by Ben Reuveni (CEO) and Danny Shteinberg (CPO). The company developed an AI-powered Work Orchestration Platform that creates an internal talent marketplace, enabling organizations to dynamically match employees with projects, roles, mentorships, and learning opportunities based on their skills and career aspirations.
Gloat's platform is built around a Multi-Ontology Workforce Graph that maps the relationships between tasks, skills, people, and AI capabilities. This powers three core capabilities: Enterprise Optimization (showing leaders where AI delivers maximum ROI), Work Orchestration (helping employees blend human expertise with AI), and Workforce Readiness (building AI fluency across organizations). The company has evolved from pure talent marketplace to comprehensive workforce orchestration, helping companies transform employees into what Gloat calls "Exponential Contributors."
Gloat has raised over $200 million in funding from investors including Generation Investment Management, Accel, Eight Roads Ventures, and Intel Capital. The company serves major enterprises including Unilever, Schneider Electric, Novartis, PepsiCo, and Seagate. Gloat has offices in Tel Aviv (headquarters), New York, London, and Sydney.
Key Technologies
- AI-powered talent matching and marketplace
- Multi-Ontology Workforce Graph
- Skills inference and mapping engine
- Enterprise workforce optimization analytics
- Career development recommendation system
Use Cases & Applications
- Internal talent marketplace for enterprises
- Workforce planning and skills gap analysis
- Career development and mentorship matching
- Project-based talent allocation
- Organizational AI readiness assessment
Strategic Value to U.S.-Israel Alliance
Gloat's workforce optimization technology could support military and intelligence organizations in talent allocation, skills readiness planning, and optimizing personnel deployment across missions.
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