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.

Meet Altus: Udemy's Agentic AI System That Diagnoses Your Workforce Skills Gaps — and Closes Them

2026-06-19

Enterprise L&D has a persistent problem: platforms can serve content, but they cannot tell you which skills your workforce actually lacks — or prove that training closed the gap. Udemy thinks agentic AI is the fix.

On March 19, 2026, at its annual PowerUp event, Udemy previewed Altus, a multi-agent AI system designed to diagnose enterprise skills gaps, build personalized learning paths, and measure results — all within one integrated platform.

What Altus Actually Does

Traditional learning management systems deliver courses. Altus is architected differently: instead of a single AI model, it deploys five coordinated specialized agents, each handling a distinct stage of the skills lifecycle:

Gap diagnosis — Identifies workforce skill deficits in the context of business priorities, not generic competency frameworks.
Personalized learning — An adaptive personalization engine builds tailored journeys for each employee based on role, current proficiency, and organizational goals.
Enterprise integration — Connects with existing enterprise systems and workflows, embedding learning into the tools employees already use.
Skills validation — Goes beyond quiz completion. Altus uses performance-based assessments — simulations, role-play scenarios, and hands-on labs — to verify that employees can actually apply what they learned.
Real-time monitoring — Tracks progress and adapts recommendations dynamically as learners advance or stall.

The distinction matters for HR leaders evaluating the crowded L&D space. Where a platform like Degreed Maestro (previewed earlier this month) focuses on AI-curated learning recommendations, Altus takes the agentic concept further: five distinct agents coordinate end-to-end, from diagnosing the gap to validating the close. That architectural difference — multiple specialized agents versus a single AI layer — is the core differentiator Udemy is pitching to enterprise buyers.

Why Now

The timing is not accidental. Nearly half (46%) of organizations expect to use AI in HR functions in 2026, according to SHRM's State of AI in HR report. As companies race to adopt AI agents, cloud modernization programs, and digital transformation initiatives, the demand for rapid, verifiable upskilling has outpaced what traditional LMS platforms can deliver.

Udemy Business already serves more than 15,000 enterprise organizations. With Altus, the company is betting that its existing install base will pay for a system that does not just deliver courses but actively manages the skills pipeline.

"Altus represents a major step forward in using AI to reskill the global workforce, and advances our ambition to become the leading AI-powered skilling platform for future-ready workplace," said Hugo Sarrazin, Udemy's President and CEO.

What HR Leaders Should Know

Availability: Altus is in preview. Early access begins mid-2026, with broader availability expected in the second half of 2026.
Pricing: Not yet announced. Udemy has not disclosed pricing for Altus.
Target use cases: Cloud modernization, digital transformation, and AI agent adoption programs — scenarios where skills gaps are both urgent and measurable.

The Bottom Line

Altus is Udemy's clearest signal yet that enterprise L&D is moving from content catalogs to closed-loop skills systems. The five-agent architecture is ambitious, but the real test will come when early-access customers report whether the diagnosis-to-validation loop delivers measurable ROI — the metric that has eluded corporate training for decades.

For HR leaders managing AI transformation programs, Altus is worth tracking. If it delivers on its promise, it could shift expectations for what an enterprise learning platform should actually do.

What is Udemy Altus?

Altus is a multi-agent agentic AI system from Udemy that diagnoses enterprise workforce skills gaps, builds personalized learning journeys, validates skill acquisition through simulations and labs, and monitors progress in real time — using five coordinated specialized AI agents.

When will Udemy Altus be available?

Altus is currently in preview. Early access is expected to begin in mid-2026, with broader availability planned for the second half of 2026. Pricing has not yet been announced.

How does Udemy Altus differ from other L&D platforms?

Unlike traditional LMS platforms that deliver courses, or single-model AI tools that curate content recommendations, Altus uses five distinct specialized agents working end-to-end: gap diagnosis, personalized learning, enterprise integration, performance-based skills validation, and real-time adaptive monitoring.