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What is PRISM?

PRISM functions as a robust platform dedicated to the oversight and evaluation of AI agents, tailored for teams involved in the creation and upkeep of AI applications. It monitors a wide range of elements including model invocations, utilized tools, data access, user sessions, and outcomes, which aids teams in experimenting with various scenarios, analyzing results, identifying recurring problems, and validating improvements. Additionally, the platform offers integration possibilities through its SDK and API, as well as compatibility with OpenTelemetry and frameworks like LangChain, facilitating efficient workflow management. This all-encompassing strategy guarantees that AI applications not only operate at peak efficiency but also undergo continuous enhancement. By leveraging PRISM, teams can ensure a more reliable and responsive development environment for their AI initiatives.

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

Anthropic
LangChain
OpenAI
OpenTelemetry

Integrations Supported

Anthropic
LangChain
OpenAI
OpenTelemetry
Agent Development Kit (ADK)
Azure AI Content Understanding
Azure OpenAI Service
Claude Agent SDK
Claude Code
ElevenAgents
IBM Watson Orchestrate
LangGraph
LiteLLM
Microsoft Agent Framework
Microsoft Copilot Studio
Open WebUI
Semantic Kernel
Slack
Snowflake
Strands Agents

API Availability

Has API

API Availability

Has API

Pricing Information

$20/month
Free is $0/month. Builder is $20/month, Growth is $50/month, and Managed is $300/month. Enterprise pricing is custom. Purchased-credit top-ups have a minimum of 100 credits for $10.
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Block Convey

Date Founded

2023

Company Location

United States

Company Website

blockconvey.com/prism

Company Facts

Organization Name

Openlayer

Date Founded

2021

Company Location

United States

Company Website

www.openlayer.com

Categories and Features

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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