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Eureka vs Vocareum Atlas

An AI-native builder that turns a prompt into an interactive role-play or a hands-on lab, governed and LMS-integrated — versus validated, multi-round business simulations with a deterministic economic engine and team competition.

Who this is for

For schools and academies choosing between generating AI scenarios and role-plays themselves, and running proven, multilingual business simulations where teams compete over several rounds under a modelled economy.

Side-by-side comparison

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Dimension Eureka Simulations Vocareum Atlas
Catalogue size 28 core simulations (18 co-developed with IESE) + an Express catalogue of short formats Not a catalogue of business simulations: an AI builder — you describe the scenario in plain language and it generates it. Backed by Vocareum's labs (AI Notebook, Cloud Labs, Cyber Ranges, Agentic AI Labs)
Languages Platform in 16 languages; Express in 9 (EN, ES, CA, DE, EU, FR, IT, PT, ZH) Platform and documentation in English; scenarios are generated by a language model, so you can write them in other languages, but there is no packaged multilingual delivery
MBA / Exec-Ed depth High — ExSim plus 18 simulations co-developed with IESE faculty Low-medium for business-school strategy and capstone; its ground is AI, data, cloud, cybersecurity and conversational practice
Corporate L&D fit Medium-high — 90-minute Express format to scale to thousands of managers High — sales role-plays, customer escalations, coaching and technical enablement; customer and partner academies (AWS, Databricks, NVIDIA)
Deployment / hosting Cloud SaaS, 100% browser (Archimedes platform), EU-hosted (GDPR) Cloud SaaS (US); isolated per-learner environments with real tools, and every model call routed through their AI Gateway
Pricing tier $$ — €8–25/student; €4K–60K/year at institutional level $–$$ — ~$10 per monthly active user + metered AI, virtual machine and lab usage; Enterprise custom
Customization High — co-development with the professor; custom-built simulations (€25–50K) Very high on authoring speed — you generate the scenario from a prompt, with no code, no developers and no API keys to hand out; the instructional design and its validation are yours
Integrations (LTI, SSO) LTI + SSO (SAML 2.0); integrates with Moodle, Canvas, Blackboard Very strong — native LTI 1.3 (and 1.1) with Canvas, Blackboard, Moodle and D2L, roster sync, grade passback, REST API, SAML 2.0 and white-label delivery
Reporting / analytics Live instructor dashboard; decision data taggable by competency (AoL-ready) Rubric scoring, transcript analysis, task and tool-use verification, and decision capture; grades flow back to the LMS automatically
Target geography Spain + LATAM (IESE family: IPADE, IAE, INALDE, PAD…); 50+ institutions, 10,000+ students US-based; global reach via cloud providers, MOOCs and universities (5M+ users, 7,000+ institutions)

When Vocareum Atlas is the better choice

For practising conversations and working with real tools under budget and AI governance, Atlas does something a round-based business simulation does not. If your case is one of these, it is the right call.

  • You want AI conversational role-play — sales calls, customer escalations, coaching, negotiation, clinical interviews — practised at scale against AI personas and scored on the transcript.
  • Your course is technical — cloud, data, AI, cybersecurity — and learners need real tools (AWS, Azure, Databricks, Jupyter) in isolated environments, with AI spend capped and no API keys handed out.
  • You need to author many scenarios yourself, fast and in plain language, and publish them into Canvas, Moodle or Blackboard with LTI 1.3, roster sync and grade passback, without a vendor build cycle.

When Eureka is the better choice

Eureka wins when the thing being learned is business decision-making under a modelled economy, with teams competing and consequences that compound round after round.

  • You want a deterministic, validated economic engine — demand, market share, P&L, cash — where the same decisions always produce the same defensible result, not a language-model output you have to review on every run.
  • You want teams competing against each other in the same market over several rounds, with a live instructor dashboard to pace the session — inter-team competition, not individual practice against an AI.
  • You need full Spanish, Portuguese and Catalan (a 16-language platform), EU hosting under GDPR, and co-development with your faculty around your own case.

Sometimes you use both

Some institutions run Atlas for AI role-play and technical labs, and Eureka for the quantitative business simulation and team competition: they cover different halves of an applied curriculum.

Frequently asked questions

Eureka or Vocareum Atlas?

Vocareum Atlas is an AI-native builder: you describe the scenario in plain language and it generates a role-play or a hands-on lab, with LTI 1.3, grade passback and AI spend control. Its strength is simulated conversations and technical cloud, data and cybersecurity courses, in English and at ~$10 per monthly active user plus usage. Eureka offers validated, multi-round business simulations with a deterministic economic engine and team competition, in 16 languages and EU-hosted. If you want learners to practise conversations or tools, Atlas; if you want business decisions with compounding consequences and teams competing, Eureka.

Can Atlas generate a business simulation like Eureka's?

Atlas generates the scenario and the AI personas, but the economics come from the language model, not from a validated deterministic engine. For a graded capstone — where several teams compete in the same market over several rounds and results must be reproducible and defensible to an accreditation body — that is a different kind of product. Eureka also supports AI-assisted authoring of short formats (Express), but it runs on a deterministic engine and is reviewed before publication.

AI role-play or a modelled business simulation?

Tell us what you want learners to practise — a conversation, a tool, or a business decision with consequences — and we'll tell you honestly which fits.

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Last reviewed: 2026-05

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