Ethaika runs realistic load simulations against any AI agents endpoint, then automatically evaluates/scores every response for correctness, hallucination, groundedness, and security using LLM-as-a-Judge.
Why Ethaika
Your LLM Gives Different Answers Every Time. How Do You Know It’s Good Enough?
Push Evaluation Results Into Tools Your Team Already Uses.
Automatically export evaluation results and defect reports into the tools your engineering team already lives in. Whether it’s Jira, GitHub, or Azure DevOps.
Ethaika closes the loop from LLM failure to resolved ticket, without leaving the platform.
LLM judge providers supported
Virtual users per simulation
Evaluation metrics per turn
Evaluation results streaming back in real time context.
Watch judge scores, pass rates, and latency metrics update live as your simulation runs — no waiting for a batch job to finish. Ethaika streams every evaluated turn back instantly so your team can act on quality issues the moment they surface.
Distinct features that truly stand out.
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Capability
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Vendor Tools
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Eval Frameworks
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Observability
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Ethaika
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Cross-Platform
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❌ Stack-locked
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⚠️ Partial
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❌ Monitor only
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✓ Native across models and platforms
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Vendor-Neutral
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❌ Biased
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✓ Technical neutrality
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⚠️ N/A
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✓ Decision-neutral orchestration
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Non-Intrusive
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❌ Tight coupling
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⚠️ SDK effort
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⚠️ Instrumentation heavy
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✓ Works with existing enterprise stack
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Enterprise Deployable
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⚠️ Varies
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⚠️ Developer-first
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⚠️ Ops-first
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✓ VPC / on-prem ready
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Governance-Aware
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⚠️ Limited
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⚠️ Metric-level only
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⚠️ Incident-level only
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✓ Built into decision lifecycle
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Experimentation-First
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❌ Limited
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⚠️ Technical only
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❌ Post-deploy only
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✓ Structured pre-deployment experiments
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Optimization Loop
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❌ One-off choices
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⚠️ Not business-coupled
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❌ Reactive
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✓ Continuous quality / cost / governance
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Simulate real user conversations with AI systems to test behavior, responses, and edge cases before production.
Configure, visualize, and save simulation profiles to ensure consistent test runs, and generate hundreds of virtual users to replicate production workloads.
Evaluate AI systems across leading frameworks such as DeepEval, Azure AI Foundry, and Ragas through a simple configuration-driven setup.
Run consistent evaluations across platforms without changing your core test definitions.
Bring your own data from simulations and leverage the best in class Eval orchestrations.
Define your custom judges and compare across popular Industry platforms.
Deploy the platform within your organization’s security guardrails and governance framework.
Integrate your AI application endpoints using modern authentication and integration standards, while maintaining strong protections such as prompt security, strict data isolation, and encryption for data both at rest and in transit.
Generate clear evaluation reports and performance dashboards to support AI quality decisions. Use our out-of-the-box analytics or customize reports to fit your needs.
Easily export, share, or integrate results with your enterprise tools through standard telemetry and integration protocols.
Schedule or run in real time. We support what your needs are. Estimate , trigger and wait for our notifications in the channel of your choice.
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