OVI is an AI-native applicant tracking system (ATS) at ovi-me.com. You chat with AI agents Sora and Milo to source candidates, screen CVs, and run AI voice interviews in one workflow.

How do I sign in to OVI?

Sign in to OVI at https://ovi-me.com/auth with your work email or Google account. New teams can start a free trial from the homepage.

OVI AI refers to OVI's hiring agents — Milo for CV screening and Sora for sourcing — built into the AI-native ATS so recruiting teams chat to hire instead of clicking through traditional ATS screens.

OVI is the AI-native ATS where you chat to hire. Two AI agents — Sora for sourcing and Milo for screening — find candidates, score every CV, and run AI interviews, all controlled from a single chat.

What does "chat to hire" mean?

Chat to hire is OVI's AI-native hiring workflow: instead of clicking through a traditional ATS, you describe what you need in chat and OVI's AI agents source candidates, screen applicants, run AI interviews, and send outreach for you.

What is an AI-native ATS?

An AI-native ATS is an applicant tracking system built around AI agents rather than forms and pipelines. OVI's AI chat ATS lets recruiters source, screen, interview, and follow up through conversation — the agents do the work and surface only the candidates worth meeting.

Who are Sora and Milo?

Sora is OVI's AI sourcing agent — she scans LinkedIn, the open web, and your ATS history to find best-fit candidates and reach out in your name. Milo is OVI's AI screening agent — he scores every applicant against your rubric and surfaces a ranked shortlist.

How do OVI's AI interviews work?

OVI runs async AI interviews for every shortlisted candidate and returns scores, transcripts, and recordings — so your team only meets the people worth meeting.

AI Skills Inference & Taxonomy Platforms 2026: The Missing Data Layer Between Assessment and Hiring Operations

By Tim Kreling, Co-Founder, OVI

Published 2026-08-02

If your organisation already uses an AI pre-employment assessment tool — TestGorilla, iMocha, Vervoe, or Codility — you have solved for individual candidate testing. But you have not solved for skills intelligence.

Assessment platforms test one candidate against one job in isolation. Skills inference and taxonomy platforms do something fundamentally different: they build a persistent operational data layer that maps, infers, and connects skills across sourcing, screening, internal mobility, and workforce planning. This is the missing layer that turns fragmented hiring data into a compounding organisational asset.

This buyer's guide compares the five platforms building that data layer in 2026: OVI (Milo), Eightfold, Gloat, SAP SuccessFactors Skills + Joule, and Workday Skills Cloud. Each takes a different approach. Understanding which one fits your organisation starts with understanding what skills inference actually delivers — and why it is not the same thing as skills testing.

Why the Skills Data Layer Matters in 2026

Two forces are making skills inference non-negotiable for HR teams this year (2026).

Credential fraud is accelerating. By 2028, one in four candidate profiles will contain fabricated credentials, according to Gartner research cited across industry analyses (Gartner, via Phenom/Plum research). Skills inference from career signals — work history patterns, project outcomes, peer-validated competencies — reduces dependency on self-reported credentials that are increasingly unreliable.

Most ATS AI is still surface-level. Seventy-nine per cent of organisations now integrate AI into their applicant tracking systems, but the majority use only keyword filtering — not skills inference (HRTech SaaS, 2026). Keyword matching catches exact-match terms; it misses adjacent skills, transferable competencies, and the inferred capabilities that differentiate strong candidates from credential-matched ones.

The organisations pulling ahead are the ones treating skills as structured, queryable data — not as unstructured text fields buried in CVs and job descriptions.

Platform Comparison: Skills Inference & Taxonomy Tools (2026)

Platform	Ideal Company Size	Best Use Case	ATS Integrations	Pricing Model
OVI (Milo)	SMBs to mid-market (1–500 hires/year)	Rubric-based skills evaluation at point of hire; reproducible ranked shortlists	Native AI chat ATS; 60+ ATS integrations on Growth plan	From $29/month (Launch); $99/month (Starter)
Eightfold	Enterprise (1,000+ employees)	Unified internal + external talent matching via skills AI	200+ enterprise integrations (Vodafone, Chevron, LG)	Custom enterprise pricing
Gloat	Large, matrixed enterprises (5,000+)	Real-time workforce agility — project and gig matching, internal redeployment	Enterprise HRIS and ATS connectors	Custom enterprise pricing
SAP SuccessFactors Skills + Joule	SAP ecosystem enterprises	Knowledge-graph-driven skills mapping across HCM modules	Native SAP HCM; Microsoft Copilot interop via a2a/MCP	SAP SuccessFactors licensing
Workday Skills Cloud	Workday HCM customers	Skills ontology embedded across HR workflows; AI agent–driven job architecture	Native Workday HCM	Workday HCM licensing

Platform Profiles

OVI (Milo): Talent Engineering at the Point of Hire

OVI takes a talent engineering approach to skills evaluation. Rather than building an enterprise-wide taxonomy, Milo — OVI's AI screening agent — applies a structured rubric with configurable weights, context clues, and red flags at the point of hire. The result is reproducible ranked shortlists: every candidate is evaluated against the same criteria, producing consistent, auditable outcomes.

This positions OVI differently from the enterprise taxonomy platforms on this list. Where Eightfold and Gloat build organisation-wide skills graphs, OVI occupies the critical skills data layer at the hiring stage — where the data quality of every downstream workforce planning system ultimately begins. OVI's architecture operates human-in-the-loop, with AI providing decision-support only, and aligns with GDPR, UAE PDPL, and EU AI Act requirements (ovi-me.com/standards). Plans start at $29/month (Launch), making it accessible to organisations that need structured skills evaluation without enterprise-scale licensing.

Eightfold: Unified Internal and External Talent Matching

Eightfold's skills AI matches internal and external talent within a single model, using deep-learning inference to map candidates to roles based on potential — not just stated qualifications. With over 200 enterprise customers including Vodafone, Chevron, and LG, Eightfold operates at global scale (HRTech SaaS, 2026). Its strength is connecting internal mobility, external hiring, and workforce planning through one skills intelligence engine. Best suited for enterprises with 1,000+ employees that need a unified view across all talent pools.

Gloat: Real-Time Workforce Agility

Gloat leads on real-time workforce agility, with project and gig matching purpose-built for large, matrixed organisations (Gloat vendor landscape, 2026). The platform's skills intelligence layer connects employees to short-term projects, lateral moves, and redeployment opportunities based on inferred skills rather than job titles.

The outcomes speak through the data: Seagate saved $33 million using Gloat's skills intelligence for internal redeployment (Gloat/Seagate case study, June 2026), while Standard Chartered saved $55 million by replacing external hiring with an AI-powered skills marketplace (June 2026) (HRTech SaaS, 2026). For organisations with 5,000+ employees operating across divisions and geographies, Gloat's strength is turning internal talent into the first sourcing channel.

SAP SuccessFactors Skills + Joule: Knowledge Graph at Enterprise Scale

SAP's approach centres on Joule, an AI copilot that sits atop a knowledge graph mapping over 40,000 business entities across the SAP HCM ecosystem (Josh Bersin, October 2025). Joule interoperates with Microsoft Copilot via agent-to-agent (a2a) and Model Context Protocol (MCP) standards, making it one of the first HR AI systems designed for multi-vendor interoperability.

For organisations already invested in the SAP ecosystem, Joule adds a skills intelligence layer without requiring a separate platform. The trade-off: its value proposition is strongest within SAP's own HCM modules, and organisations without existing SAP infrastructure face significant implementation overhead.

Workday Skills Cloud: Ontology Embedded in Workflows

Workday Skills Cloud embeds a skills ontology directly into Workday HCM workflows. In 2026, Workday launched six new HR agents through its Illuminate platform, including a Job Architecture Agent and a Performance Agent (Sana Labs, 2026). These agents use the skills ontology to automate job design, skills gap analysis, and performance calibration within existing Workday processes.

For Workday HCM customers, Skills Cloud eliminates the integration layer entirely — skills intelligence is native to the system of record. For non-Workday organisations, adoption requires a platform migration.

Also Worth Considering

Fuel50 takes a distinct approach with an I/O psychology–reviewed skills library, where career pathing logic is built on validated psychometric frameworks rather than pure AI inference (Fuel50, 2026). Strongest for mid-to-large enterprises where psychometric validity and audit-trail defensibility are governance requirements — particularly in regulated industries where data quality grounded in established science carries more weight than AI-inference-only approaches.

How to Choose the Right Platform

The right platform depends on where your organisation's skills data problem is most acute:

At the point of hire (skills evaluation, screening consistency): OVI (Milo) provides structured, rubric-based evaluation accessible from $29/month — no enterprise contract required.
Across internal and external talent pools (unified skills matching): Eightfold's deep-learning model connects both in a single view.
For internal mobility at scale (redeployment, project matching): Gloat's real-time agility engine is purpose-built for large matrixed organisations.
Within an existing SAP ecosystem (knowledge-graph intelligence): SAP Joule maps 40,000+ business entities without a separate platform.
Within Workday HCM (embedded skills ontology): Workday Skills Cloud eliminates integration overhead for existing customers.

The organisations that treat skills as a persistent, structured data layer — rather than a field on a CV — are the ones building a compounding advantage. The platform choice depends on where you start building.

Frequently Asked Questions

What is the difference between a skills inference platform and a skills assessment tool?

Skills assessment tools (TestGorilla, iMocha, Vervoe, Codility) test individual candidates against specific competencies in a single evaluation. Skills inference platforms build a persistent data layer that infers, maps, and connects skills across sourcing, screening, workforce planning, and internal mobility — creating an organisational asset that compounds over time.

Can skills inference platforms replace traditional ATS keyword filtering?

Yes. While 79% of organisations now integrate AI into their ATS, most still rely on keyword filtering (HRTech SaaS, 2026). Skills inference platforms go further by detecting adjacent skills, transferable competencies, and inferred capabilities from career signals — reducing reliance on exact-match keywords and self-reported credentials.

How do these platforms address credential fraud?

By inferring skills from career signals — work history patterns, project outcomes, and validated competencies — rather than relying solely on self-reported credentials. With Gartner projecting that one in four candidate profiles will contain fabricated information by 2028, skills inference from verified signals becomes a critical fraud mitigation layer.

What size organisation benefits most from skills inference platforms?

It depends on the platform. OVI (Milo) serves SMBs and mid-market organisations with plans starting at $29/month. Eightfold targets enterprises with 1,000+ employees. Gloat and SAP SuccessFactors serve large, matrixed organisations with 5,000+ employees. Workday Skills Cloud serves existing Workday HCM customers of any size.

Are skills inference platforms compliant with AI hiring regulations?

Compliance varies by vendor. OVI's human-in-the-loop architecture, which provides AI decision-support without automated hiring decisions, aligns with frameworks including GDPR, the EU AI Act, and NYC Local Law 144 — though OVI is aligned rather than formally certified (ovi-me.com/standards). Enterprise platforms like Eightfold and Workday maintain their own compliance programmes. HR teams should evaluate each vendor's compliance posture against their specific jurisdictional requirements.

What is the difference between a skills inference platform and a skills assessment tool?

Can skills inference platforms replace traditional ATS keyword filtering?

Yes. While 79% of organisations now integrate AI into their ATS, most still rely on keyword filtering. Skills inference platforms go further by detecting adjacent skills, transferable competencies, and inferred capabilities from career signals — reducing reliance on exact-match keywords and self-reported credentials.