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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.

What is Opik?

Utilizing a comprehensive set of observability tools enables you to thoroughly assess, test, and deploy LLM applications throughout both development and production phases. You can efficiently log traces and spans, while also defining and computing evaluation metrics to gauge performance. Scoring LLM outputs and comparing the efficiencies of different app versions becomes a seamless process. Furthermore, you have the capability to document, categorize, locate, and understand each action your LLM application undertakes to produce a result. For deeper analysis, you can manually annotate and juxtapose LLM results within a table. Both development and production logging are essential, and you can conduct experiments using various prompts, measuring them against a curated test collection. The flexibility to select and implement preconfigured evaluation metrics, or even develop custom ones through our SDK library, is another significant advantage. In addition, the built-in LLM judges are invaluable for addressing intricate challenges like hallucination detection, factual accuracy, and content moderation. The Opik LLM unit tests, designed with PyTest, ensure that you maintain robust performance baselines. In essence, building extensive test suites for each deployment allows for a thorough evaluation of your entire LLM pipeline, fostering continuous improvement and reliability. This level of scrutiny ultimately enhances the overall quality and trustworthiness of your LLM applications.

Media

Media

Integrations Supported

Azure OpenAI Service
Claude
DeepEval
Flowise
Hugging Face
Kong AI Gateway
LangChain
LiteLLM
LlamaIndex
Model Context Protocol (MCP)
Okta
OpenAI
OpenAI o1
Pinecone
Predibase
Python
Ragas
Slack
TypeScript
pytest

Integrations Supported

Azure OpenAI Service
Claude
DeepEval
Flowise
Hugging Face
Kong AI Gateway
LangChain
LiteLLM
LlamaIndex
Model Context Protocol (MCP)
Okta
OpenAI
OpenAI o1
Pinecone
Predibase
Python
Ragas
Slack
TypeScript
pytest

API Availability

Has API

API Availability

Has API

Pricing Information

$19 per month
Free Trial Offered?
Free Version

Pricing Information

$39 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Scorable

Company Location

Finland

Company Website

scorable.ai/

Company Facts

Organization Name

Comet

Date Founded

2017

Company Location

United States

Company Website

www.comet.com/site/products/opik/

Categories and Features

Categories and Features

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