SkillsDBvsGloat

Gloat built the internal talent marketplace category and still defines much of it. Its platform matches employees to projects, gigs, mentorships, and open roles from a knowledge graph of people, skills, roles, and relationships, and it now positions itself as an agentic HR platform: career agents that infer skills from resumes and completed work, workflow agents that automate HR processes, and strategic agents for planning. For a large enterprise that wants to unlock lateral movement and redeploy people quickly, that machinery is real and mature.

The inference engine is the point. Gloat's public materials describe agents that add skills to a profile after a project ships or a resume is uploaded, then match on semantic embeddings rather than keyword overlap. Combined with integrations into Workday, SAP SuccessFactors, Oracle HCM, and Microsoft Teams, and a security posture that publicly documents SOC 2 Type II and ISO 27001, 27017, and 27018, Gloat is a credible system for moving talent around a company of tens of thousands.

Inferred versus assessed. Inference is the fastest way to get from an empty profile to a plausible one. It reads a resume, a job history, or a completed project and proposes skills. That is genuinely useful for bootstrapping a skills picture across a workforce that has never had one, and SkillsDB will ingest exactly that kind of data as a starting point. Where inference stops is proof. An inferred skill cannot tell you whether the person can perform it today, at what level, or who confirmed it. SkillsDB verifies the bootstrap through structured skills assessment: a required proficiency level per role, an assessed level per person, a trained date, and the evidence behind it.

Scope. Gloat is a matching and mobility layer that sits on top of whatever skills data exists. SkillsDB is the operating record underneath: competency frameworks in the customer's own language, assessment, gap analysis, the training matrix, development plans, and succession, each derived from the same person-to-skill records. The two are not solving the same problem, which is why the honest version of this comparison is that most organizations running Gloat would still need a system of record for verified skills, and many organizations running SkillsDB have no need for a gig marketplace.

Fit, security, and integration. SkillsDB is SOC 2 Type II certified and GDPR compliant, exposes a GraphQL API, supports SSO and SCIM provisioning, and offers multi-language support. It implements in weeks because the frameworks are yours rather than a generic ontology to be reconciled. Gloat's implementation is typically an enterprise rollout with change management, because a marketplace only works when the whole organization participates.

Choose Gloat if…

• Your priority is internal mobility at enterprise scale: gigs, projects, and lateral moves across tens of thousands of people.
• You already trust the skills data in your HCM, or you are willing to run on inferred profiles for matching purposes.
• You want agentic HR workflows that span far beyond skills, from ticket resolution to workforce planning.

Choose SkillsDB if…

• You need to know, with evidence, who can do what today, especially for regulated, safety-critical, or audited work.
• Your gap is verification and development: frameworks, assessment, gap analysis, training matrices, and development plans that close gaps on a timeline.
• You want a source of truth for skills that other systems, including a marketplace, can draw from.

The complementary pattern is straightforward. SkillsDB holds the verified record: the skills library, the proficiency scale, assessments with dates and evidence, and the role requirements from your job architecture. A marketplace consumes that record to make its matches more accurate, because a match against an assessed level 4 means something a match against an inferred tag does not.

Practically, that means agreeing which system is the source of truth for a skill and its level, syncing assessed levels outward rather than inferred tags inward, and treating marketplace activity as a signal to trigger a reassessment rather than as proof of competence. For a longer treatment of the category boundary, see Talent Marketplace vs. Skills Platform.

• How does a skill get onto an employee's profile, and can the employee or their manager see why it is there?
• Is proficiency expressed on a defined scale with behavioral anchors, and does a level mean the same thing across skills?
• Who verifies a skill, by what method, and is the assessor and date recorded?
• Can evidence, such as a certificate, a supervised sign-off, or a practical test, be attached to the record?
• Is there an audit trail showing how a level changed over time and who changed it?
• For regulated roles, can the system show who is currently qualified against the current procedure revision, not just who was trained once?