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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.

What is Openlayer?

Openlayer is an AI governance and observability platform that helps enterprises evaluate, monitor, and control both traditional ML and generative AI systems. The platform is designed for modern AI environments that include LLM applications, RAG pipelines, agentic systems, and complex multi-step workflows. Openlayer provides more than 100 automated tests for evaluating model quality, safety, reliability, data quality, performance, and policy compliance. Teams can use these tests to automate comprehensive model evaluations and identify issues before AI systems affect users, customers, or business operations. The platform’s observability features provide full traceability across prompts, retrieved context, agents, tool usage, intermediate steps, model outputs, and workflow decisions. Real-time guardrails help prevent prompt injections, PII leakage, biased outputs, toxicity, hallucinations, and other AI safety risks. Openlayer supports teams across the full AI lifecycle, from early experimentation and validation to production monitoring and governance reporting. Its governance automation capabilities help organizations align AI development and deployment processes with responsible AI frameworks such as NIST and the EU AI Act. The platform is built for enterprises that need to innovate with AI while maintaining security, compliance, explainability, and operational oversight. Openlayer also helps teams manage risk across both classic machine learning models and newer GenAI systems, giving organizations a unified approach to AI quality and trust. By combining automated testing, observability, real-time protection, traceability, and governance workflows, Openlayer enables safer, more reliable, and more responsible AI operations at scale.

Media

Media

Integrations Supported

Azure OpenAI Service
LangChain
LiteLLM
OpenAI
Ragas
DeepEval
Flowise
Hugging Face
LlamaIndex

Integrations Supported

Azure OpenAI Service
LangChain
LiteLLM
OpenAI
Ragas
Amazon Bedrock
Anthropic
Claude Agent SDK
Claude Code
Dialogflow
Gemini
GitHub
LangGraph
Microsoft Copilot Studio
Open WebUI
Semantic Kernel

API Availability

Has API

API Availability

Has API

Pricing Information

$39 per month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Comet

Date Founded

2017

Company Location

United States

Company Website

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

Company Facts

Organization Name

Openlayer

Date Founded

2021

Company Location

United States

Company Website

www.openlayer.com

Categories and Features

LLM Evaluation

Not specified

Categories and Features

AI Gateways

Not specified

AI Governance

Not specified

AI Guardrails

Not specified

AI Observability

Not specified

AI Usage Control

Not specified

LLM Evaluation

Not specified

LLM Routers

Not specified

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