Gloat has introduced its Agentic HR Platform, positioning it as a new category in workforce technology designed to move HR beyond reactive processes toward continuous, real-time talent orchestration. Built on Loomra, the company’s proprietary Workforce Context Engine, the platform leverages nearly a decade of enterprise AI research to deliver context-aware agents embedded directly into everyday work environments.
While traditional HR technologies are built around workflows and data management, the Gloat solution is built around the concept of workforce mobility. The AI agents are designed to have an understanding of the enterprise, including the workforce, and are hence able to match talent with opportunity, identify risk, and take action.
“Everyone has agents now. Very few have context. An agent without context is just a chatbot that clicks buttons. What makes a workforce agent intelligent isn’t the model – it’s whether it understands your people, your policies, your org structure, your business logic, your approval chains. That’s what Loomra provides. Nine years of enterprise-specific workforce context that you cannot prompt-engineer into existence. That’s the difference between an agent that acts and an agent that knows what it’s doing.” Ben Reuveni, Co-Founder and CEO, Gloat
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The platform does this by integrating into commonly used tools like Microsoft Teams, Slack, and Google Chat, allowing insights and recommendations to appear naturally within a workflow. Instead of replacing other HR tools like Workday or SAP SuccessFactors, this platform seeks to integrate as a semantic layer to improve decision-making within those tools.
Fundamentally, Loomra leverages technologies such as knowledge graphs, skills inference, and career trajectory modeling to improve workforce insights. Supporting this is an Agent Builder, which allows organizations to deploy prebuilt or custom AI agents for functions like internal talent sourcing, reskilling, and succession planning—without requiring technical expertise.
“Gloat is embarking on a category-creating mission. Rather than build agents on top of existing systems and data structures, Gloat has built a context layer which in turn talks to the typical workflows of HCM.” Josh Bersin, Global HR Industry Analyst & Founder, The Josh Bersin Company
By embedding intelligence into the flow of work, Gloat aims to redefine HR as a continuously adaptive function capable of aligning talent with evolving business needs in real time.
