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Average Ratings 0 Ratings
Description
Scorable is an innovative platform utilizing AI for evaluation and monitoring, specifically crafted to assist developers in assessing, regulating, and enhancing the performance of applications developed with large language models. The platform empowers teams to construct personalized automated evaluators, often termed AI "judges," which evaluate the responses of AI systems to users and determine if the outputs align with established quality metrics such as accuracy, relevance, helpfulness, tone, and adherence to policies. Developers can articulate their measurement objectives in straightforward language, and Scorable then creates a customized evaluation framework that tests AI outputs against specific contextual criteria, moving beyond standard benchmarks. These evaluators can be seamlessly integrated into the application's code, enabling continuous oversight of AI systems, including chatbots, retrieval-augmented generation (RAG) systems, or autonomous agents, even while they are functioning in live production settings. This capability ensures that developers maintain high standards for AI performance over time and can swiftly adapt to evolving requirements.
Description
Traceloop is an all-encompassing observability platform tailored for the monitoring, debugging, and quality assessment of outputs generated by Large Language Models (LLMs). It features real-time notifications for any unexpected variations in output quality and provides execution tracing for each request, allowing for gradual implementation of changes to models and prompts. Developers can effectively troubleshoot and re-execute production issues directly within their Integrated Development Environment (IDE), streamlining the debugging process. The platform is designed to integrate smoothly with the OpenLLMetry SDK and supports a variety of programming languages, including Python, JavaScript/TypeScript, Go, and Ruby. To evaluate LLM outputs comprehensively, Traceloop offers an extensive array of metrics that encompass semantic, syntactic, safety, and structural dimensions. These metrics include QA relevance, faithfulness, overall text quality, grammatical accuracy, redundancy detection, focus evaluation, text length, word count, and the identification of sensitive information such as Personally Identifiable Information (PII), secrets, and toxic content. Additionally, it provides capabilities for validation through regex, SQL, and JSON schema, as well as code validation, ensuring a robust framework for the assessment of model performance. With such a diverse toolkit, Traceloop enhances the reliability and effectiveness of LLM outputs significantly.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Python
Yes
TypeScript
Yes
Amazon Web Services (AWS)
No
Go
No
JSON
No
JavaScript
No
LiteLLM
No
Microsoft Azure
No
Model Context Protocol (MCP)
Yes
Okta
Yes
Integrations
Python
Yes
TypeScript
Yes
Amazon Web Services (AWS)
Yes
Go
Yes
JSON
Yes
JavaScript
Yes
LiteLLM
Yes
Microsoft Azure
Yes
Model Context Protocol (MCP)
No
Okta
No
Pricing Details
$19 per month
Free Trial
No
Free Version
Yes
Pricing Details
$59 per month
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Scorable
Country
Finland
Website
scorable.ai/
Vendor Details
Company Name
Traceloop
Founded
2022
Country
Israel
Website
www.traceloop.com