Scale EvaluationScale
|
||||||
Related Products
|
||||||
About
LayerLens is an independent AI model evaluation platform for understanding how models perform through verified results across benchmarks, prompt-level results, agentic benchmarks, and audit-ready comparisons across vendors. It helps teams compare more than 200 AI models side by side, with transparent benchmarks, model comparison tools, and consistent evaluation methods for accuracy, latency, behavior, and real-world applicability. LayerLens is built for deep model analysis through Spaces, where teams can group benchmarks and evaluations, explore task strengths, and track performance patterns in context. It supports continuous evaluation by running ongoing evals across model versions, prompt changes, judge updates, and live traces, helping teams detect quality regressions, drift, silent failures, contamination, and policy issues before they affect production.
|
About
Scale Evaluation offers a comprehensive evaluation platform tailored for developers of large language models. This platform addresses current challenges in AI model assessment, such as the scarcity of high-quality, trustworthy evaluation datasets and the lack of consistent model comparisons. By providing proprietary evaluation sets across various domains and capabilities, Scale ensures accurate model assessments without overfitting. The platform features a user-friendly interface for analyzing and reporting model performance, enabling standardized evaluations for true apples-to-apples comparisons. Additionally, Scale's network of expert human raters delivers reliable evaluations, supported by transparent metrics and quality assurance mechanisms. The platform also offers targeted evaluations with custom sets focusing on specific model concerns, facilitating precise improvements through new training data.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
AI engineering and governance teams that need transparent, continuous evaluations to compare models, monitor production behavior, and reduce risk before deployment
|
Audience
AI model developers wanting a tool to evaluate, monitor, and improve the performance and safety of their large language models
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Not Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Supported
Free Trial
Not Supported
|
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
|
|||||
Company InformationLayerLens
United States
stratix.layerlens.ai/
|
Company InformationScale
Founded: 2016
United States
scale.com/evaluation/model-developers
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
AI21 Studio
Supported
Amazon Web Services (AWS)
Supported
Anthropic
Supported
Cohere
Supported
Databricks
Supported
DeepSeek
Supported
Google AI Mode
Supported
Meta AI
Supported
Microsoft 365
Supported
Mistral AI
Supported
|
Integrations
AI21 Studio
Not Supported
Amazon Web Services (AWS)
Not Supported
Anthropic
Not Supported
Cohere
Not Supported
Databricks
Not Supported
DeepSeek
Not Supported
Google AI Mode
Not Supported
Meta AI
Not Supported
Microsoft 365
Not Supported
Mistral AI
Not Supported
|
|||||
|
|
|