Generic AI sees text. Gloat AI sees talent and work. Our purpose-built embedding models transform workforce data into semantic understanding—enabling agents to reason about skills, roles, and people with unprecedented precision.
Off-the-shelf models understand language—not workforce. Gloat's embeddings are trained on billions of workforce interactions to capture the semantic relationships that actually matter for talent decisions.
Every person, role, and skill encoded in a shared semantic space.
Encodes employees, roles, skills, and projects into a unified 768-dimensional vector space. Captures hundreds of attributes per entity—career history, skill trajectories, collaboration patterns, and latent potential—enabling agents to understand workforce entities the way humans do: in context.
Battle-tested across 200+ enterprise deployments. Zero-downtime updates.
Find talent by capability, not keywords.
The engine behind every talent search. Combines high-dimensional entity vectors with Gloat's harmonized ontologies and HyDE query expansion to surface results that understand intent. Search for 'someone to lead our APAC expansion' and find candidates whose career DNA matches—even if those words never appear in their profile.
Battle-tested across 200+ enterprise deployments. Zero-downtime updates.
Your HCM, ATS, and LMS all speak different languages. These models create a canonical vocabulary.
One skill, one truth—across every system.
"Python dev", "Python Developer", "Sr. Python Engineer", "Python programming"—your systems have dozens of ways to say the same thing. This model resolves the chaos, mapping variations to canonical representations while preserving semantic nuance. Trained with contrastive learning on millions of skill pairs.
Battle-tested across 200+ enterprise deployments. Zero-downtime updates.
Compare roles by what people actually do.
Job descriptions are written by humans—inconsistently. This model unifies responsibilities and task descriptions across your organization, enabling true apples-to-apples role comparison regardless of how different teams describe their work. The foundation for role consolidation and job architecture.
Battle-tested across 200+ enterprise deployments. Zero-downtime updates.
Beyond keyword matching—true skill fit.
Dual-layer semantic matching that evaluates alignment between talent and roles. First computes global similarity across the complete skill profile, then executes pairwise analysis between every source and target skill. The result: matching that understands that 'React' experience partially satisfies a 'Vue.js' requirement.
Battle-tested across 200+ enterprise deployments. Zero-downtime updates.
Map the career landscape of your organization.
Computes proximity scores between all roles by analyzing overlap in underlying skills and tasks. Surfaces which roles share enough DNA to warrant consolidation, identifies natural career pathways, and scores transferability. The intelligence layer for workforce planning and org design.
Battle-tested across 200+ enterprise deployments. Zero-downtime updates.
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See how Gloat's agentic platform transforms workforce operations from reactive administration to autonomous orchestration.