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.
Building Trust Into Every AI Decision
At Ethaika, we believe powerful AI must also be transparent, testable, and accountable. As LLM-powered products become core to business operations, shipping without systematic evaluation is no longer an option.
AI is no longer experimental — it runs real businesses.
Our mission is to help teams build AI agents and chatbots that behave predictably, responsibly, and at scale.
We believe AI systems should never be a black box.
Ethaika captures prompts, context, parameters, and execution traces so teams can clearly see why an AI behaved the way it did.
LLMs are non-deterministic by nature.
Our workbench is designed specifically to handle variability, edge cases, and evolving models — not just happy-path demos.
Ethaika is built by engineers who’ve shipped production AI systems.
We’ve felt the pain of unreproducible bugs, unclear failures, and slow defect triage — so we built the tool we wished existed.
Our platform is designed for:
QA teams validating AI behaviour
Developers debugging agent logic
Product teams ensuring safe releases
Everyone works from the same reproducible source of truth.
We’re not here to lecture about AI ethics — we provide practical tooling that makes AI systems testable, explainable, and production-ready.
Distinct features that truly stand out.
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.
You asked, we answered.
Clear answers for teams building and testing AI in production.
Ethaika empowers organizations to accelerate their AI evaluation journey by providing a unified platform for simulating real user behavior, running scalable AI evaluations, and consistently measuring AI quality across models and platforms.
Traditional logs show what happened.
Ethaika captures why it happened, including hidden context, model settings, retrieval traces, and execution metadata, making AI behaviour reproducible instead of guesswork.
Yes. Ethaika is built specifically for non-deterministic systems.
Even when outputs vary, our deterministic replay and session capture allow teams to reliably analyze and diagnose failures.
Ethaika is model-agnostic and works with:
LLM-powered chatbots
AI agents and tool-using systems
RAG-based applications
Custom in-house AI services
We integrate at the API and execution layer, not just the UI.
Ethaika is used by:
QA teams validating AI behaviour
Engineers debugging agents and pipelines
Product teams reviewing AI releases
Organizations needing transparency and trust in AI systems
Everyone works from the same reproducible source of truth.
Yes — you can request a demo to walk through the workbench, defect capture, and replay experience using real AI workflows.
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