Kashikoi

Kashikoi

Kashikoi is a simulation engine designed to benchmark AI agents using CPU-friendly world models to simulate real-world interactions.

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Overview

Kashikoi is a simulation engine designed to benchmark AI agents using CPU-friendly world models to simulate real-world interactions. It enables developers to connect custom AI stacks, run autonomous evaluations across various scenarios, and identify edge cases without writing code. The platform provides actionable insights and synthetic data to optimize prompts and fine-tune models, allowing AI developers and software teams to ship agents faster with confidence.

Key features

  • Custom integrations for AI stacks
  • Realistic simulation scenarios and edge case identification
  • Actionable insights and synthetic data generation
  • CPU-friendly world models for behavioral assessment

Pricing

PaidStarting price: Contact for pricing

Verified on:

Use cases

  • Benchmarking AI agent performance
  • Identifying edge cases in agent behavior
  • Optimizing prompts and fine-tuning models

Who it is for

AI developerssoftware teams

Integrations

JiraGitHubJenkinsGitLab CI/CD

Tags

API

How we verified this

Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.

Last verified 09/10/2026Verified sources: 1

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