Funding
Funding not disclosed
Founders
Product
Problem
Evaluating the performance of AI agents in complex, multi-turn conversational scenarios is challenging and time-consuming. Current methods often lack standardized benchmarks and realistic dialogue simulation capabilities, hindering effective refinement and quality assurance of conversational AI.
Solution
Kashikoi provides a platform for simulating multi-turn conversational flows to benchmark AI agents. The system allows users to define and execute realistic dialogue scenarios, enabling quantitative assessment of an AI's performance across various interaction patterns. By leveraging these simulations, developers can identify areas for improvement, validate conversational logic, and ensure their AI agents meet predefined quality metrics. This facilitates a more rigorous and efficient approach to AI agent development and deployment.
Target Audience
The primary users are AI developers and conversational designers focused on building and optimizing AI agents for customer service, virtual assistants, and other dialogue-intensive applications.
Features
- AI agent simulation engine for multi-turn conversational flow testing
- Customizable dialogue scenario creation tools
- Performance metrics and analytics for conversational AI evaluation
- Automated execution of predefined test cases
- Support for various AI agent integration protocols