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What is nekuda?

Nekuda revolutionizes websites by converting them into interactive platforms where AI agents can effectively operate, utilizing WebMCP tools that allow for various site functions while giving website owners the ability to oversee and manage these interactions. Development teams can either build extensive WebMCP tools with a coding agent or quickly initiate basic tools by adding a single line of code to their public website. After implementing these tools, businesses are empowered to specify and monitor the actions that agents can take, including essential tasks such as product searches, retrieving policies, managing checkout processes, tracking orders, and updating application data. Furthermore, Nekuda meticulously tracks agent activities, logging each interaction with tools and entire sessions, thus providing teams with valuable insights into the navigation patterns of agents on their website. The platform also incorporates robust evaluation and testing functionalities that measure task success rates, enabling the replaying of scenarios both before and after deployment to confirm that critical workflows like searching, checkout, policy retrieval, and fallback actions function seamlessly and as anticipated. This holistic strategy not only boosts website functionality but also equips teams with the ability to continually adapt and refine their digital landscapes informed by real-time data and agent performance insights, fostering an environment ripe for innovation and improvement. In this way, Nekuda ensures that businesses can meet evolving user needs while maintaining high standards of operational excellence.

What is Scorable?

Scorable is a cutting-edge platform that leverages artificial intelligence for evaluation and monitoring, designed specifically to aid developers in measuring, managing, and improving the performance of applications built with large language models. This platform enables teams to create tailored automated evaluators, often referred to as AI "judges," which assess the responses generated by AI systems and evaluate whether these outputs meet predefined quality metrics such as accuracy, relevance, helpfulness, tone, and compliance with policies. Developers can express their evaluation goals in simple terms, allowing Scorable to design a bespoke assessment framework that tests AI outputs against particular contextual standards, extending beyond conventional benchmarks. Furthermore, these evaluators can be easily integrated into the application's source code, facilitating ongoing oversight of AI systems, such as chatbots, retrieval-augmented generation (RAG) systems, or autonomous agents, even during their operation in live environments. This functionality guarantees that developers uphold rigorous standards for AI performance over time and are able to quickly adjust to changing needs, thereby fostering a more responsive approach to application development and deployment. In addition, Scorable's adaptability ensures that as technology evolves, developers are equipped with the tools necessary to maintain optimal performance and quality in their AI applications.

Media

Media

Integrations Supported

Model Context Protocol (MCP)
Google Chrome

Integrations Supported

Model Context Protocol (MCP)
Okta
Python
Slack
TypeScript

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$19 per month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

nekuda

Company Location

United States

Company Website

nekuda.ai/

Company Facts

Organization Name

Scorable

Company Location

Finland

Company Website

scorable.ai/

Categories and Features

Agentic AI

Not specified

Categories and Features

Agentic AI

Not specified

AI Governance

Not specified

AI Guardrails

Not specified

AI Observability

Not specified

LLM Evaluation

Not specified

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