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Kashikoi

Kashikoi is a simulation engine that autonomously evaluates AI agents by simulating real-world interactions, with custom metrics, comparisons and connectors built for your stack.

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Introduction

Kashikoi simulates real-world interactions to evaluate an agent autonomously, so teams stop babysitting evals. Its process is three steps: test, evaluate and improve your AI.

Metrics, comparisons and visualisations are tailored to your requirements, and the team builds custom connectors to your AI stack for full coverage. Recommendations from runs suggest concrete improvements, such as tightening alert logic or broadening training coverage.

When you evaluate Kashikoi, script a handful of realistic conversations that previously went wrong in production and check whether its simulations reproduce them. A testing tool for agents earns its place when it catches the regressions your team already knows about, before it is trusted to find new ones.

Launch and background: Y Combinator’s company directory lists Kashikoi in its Spring 2025 batch, with the one-liner “Simulation Engine for Benchmarking AI Products”.

Features

  1. Autonomous simulation: Real-world interaction scenarios.
  2. Custom metrics: Tailored to your use case.
  3. Comparisons: Side-by-side runs.
  4. Custom connectors: Built by the vendor.
  5. Improvement suggestions: Actionable recommendations.

Pros

  1. Hands-on vendor: Custom integration support.

Cons

  1. Opaque pricing: Contact the team.
  2. Thin public docs: Few technical details.
  1. Contact Kashikoi to scope connectors.
  2. Define the metrics that matter.
  3. Run simulations and act on the recommendations.

Resources:

Pricing

Prices were not listed on the website when checked on 11 November 2026; contact the vendor for plans.

  1. Enterprises with bespoke AI stacks needing white-glove eval setup.

Conclusion

Kashikoi offers simulation-based agent evaluation with a service component.

Ask for a pilot on one agent before wider rollout.

On CheckOps, Kashikoi is filed under the Release & CI gates stage. Related tools listed here include Promptfoo, DeepEval, Braintrust, LangSmith, Galileo and Giskard. Before standardising on one, compare recent maintenance activity, the pricing model as your usage grows, and the integrations you rely on today. Information on this page was verified against the official website, documentation and repository on 11 November 2026.

Alternatives

Other tools on CheckOps that cover similar ground. Open a page, or compare one with Kashikoi side by side.