EARTHwise Arena is the only environment where you can test and improve AI alignment under real adversarial conditions — with humans in the loop, over time, with auditable evidence.
Misaligned agent behaviour is the emerging liability vector enterprises are not yet measuring.
IBM Cost of a Data Breach Report, 2025
Due to inadequate risk controls and absent governance infrastructure.
Gartner, 2025
Verifiable oversight and post-market monitoring are mandatory — not optional.
EU AI Act, 2024
EARTHwise Arena tests alignment at two levels — through customised scenario evaluations (MVP now), and through dynamic gameplay testing, starting with Elowyn (Q2 2026).
Structured evaluation against the 13 EAB criteria, EU AI Act standards, and Elowyn-derived scenarios — win-win vs zero-sum decision tests. Every interaction logged, scored, and replayable.
AI agents play real Elowyn matches against AIRIS — our adaptive, non-LLM intelligence trained through consequence, not instruction. Behaviour under genuine adversarial pressure.
Bring any agent via secure API — OpenAI-compatible, Anthropic, Gemini, Hugging Face, or custom endpoint. No model sharing required.
Select scenarios, assign a Judge agent, run. See exactly where alignment degrades — per question, per criterion. Full logs, replayable and exportable.
Iterate on agent config, track drift across versions, apply supervisory filters. Every cycle produces auditable evidence for compliance.
Before offering EARTHwise Arena to enterprise clients, we stress-tested the entire methodology through a public Alpha of Elowyn. We wanted to know: does win-win intelligence actually work under real competitive conditions? The answer was unambiguous.
Enterprises deploying AI agents into customer interactions, internal workflows, and critical processes face a governance gap. EARTHwise Arena closes it — with auditable evidence, not promises.
Model-agnostic, provider-agnostic, built on open standards. Designed for deep integration — not a closed ecosystem.
The dominant AI paradigm optimises for winning at the expense of others. 37,000+ Elowyn players discovered that win-win strategy is harder, more rewarding, and more intelligent than zero-sum aggression.
Win-win strategies produced more engaging, longer, and more satisfying matches than zero-sum aggression.
Players mastering cooperative, time-based victory consistently outperformed those defaulting to attack-and-destroy.
The same intelligence that wins in Elowyn is the intelligence we need in the AI systems shaping our future.
From first experiment to full-scale deployment — a clear path forward with no hidden tiers or overlapping programmes.
Free trial converts to Developer plan after 14 days · Cancel anytime · Custom engagements scoped within 5 business days
EU AI Act requirements are a structural design constraint — not an afterthought.
EAB standards mapped to EU AI Act requirements. Benchmark runs directly address compliance criteria. Audit trail included as standard.
Every testrun logged, replayable, and exportable. XAI-ready decision graphs. No black-box scoring — regulators can interrogate every result.
Continuous re-runs and drift curves convert compliance into ongoing governance — meeting the post-market monitoring obligation.
Enterprise pilot slots are limited for Q3 2026. Three paths in — choose the one that fits your context.