Sold by: Patronus AIÂ
The Patronus AI Platform is the leading automated AI evaluation and security product. The Platform enables enterprise development teams to score LLM performance, generate adversarial test cases, benchmark LLMs, and more. Customers use Patronus AI to detect LLM mistakes at scale and deploy AI products confidently.
Overview
The Patronus AI Platform enables engineering teams to test, score, and benchmark LLM performance on real world scenarios, generate adversarial test cases at scale, monitor hallucinations and other unexpected and unsafe behavior, and more.
Customers use the Patronus AI Platform as soon as they have any kind of an LLM or LLM system in their hand. The platform is primarily used in 2 key parts of the user journey: AI product pre-deployment and AI product post-deployment. The product is typically used with not just LLMs, but also retrieval-based LLM systems, agents, routing architectures, and more. There are also 2 types of key product offerings: 1) cloud-hosted solution, and 2) on-prem self-hosted offering.
For pre-deployment: Customers use several features in the web platform for offline LLM evaluation and experimentation, all in one place. In the Evaluation Run workflow, customers can select or define parameters like the LLM and its associated settings, evaluation dataset, and criteria.
For post-deployment: Customers use the Patronus API and the LLM Failure Monitoring dashboard for LLM testing and evaluation in CI and production. The API solution allows customers to validate, log, and address LLM failures in real-time. To accompany the API and manage the alerts, there is also an LLM Failure Monitoring dashboard in the web platform to visualize, filter, and aggregate statistics on LLM failures.
Highlights
- Retrieval-Augmented Generation (RAG) Testing: Verify that your LLM-based retrieval systems consistently deliver reliable information using our retrieval evaluation API.
- Evaluation Runs: Leverage our managed service for evaluations to auto-generate test suites, score model performance on real world scenarios, benchmark LLMs, and more.
- LLM Failure Monitoring: Continuously evaluate, track, and visualize LLM system performance for your AI product in production.
Details
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Evaluation Samples | Total number of samples evaluated using Patronus AI Platform. | $1,000,000.00 |
Vendor refund policy
If you cancel your subscription within 48 hours of purchase, you can get a full refund. All other refunds would happen on a case-by-case basis. Reach out to contact@patronus.ai to request a refund.
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Vendor terms and conditions
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Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
We have a 24-hour response time SLA for all buyers. Please reach out to contact@patronus.ai if you are experiencing any issues.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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AI generated from product descriptions
AI Model Evaluation
Comprehensive testing and scoring of Large Language Model (LLM) performance across real-world scenarios
Adversarial Test Case Generation
Automated generation of test cases to identify potential vulnerabilities and unexpected behaviors in AI systems
Retrieval-Augmented Generation Testing
Verification of retrieval-based LLM systems to ensure consistent and reliable information delivery
Failure Monitoring
Real-time tracking and visualization of LLM system performance and potential failures in production environments
Multi-Environment Deployment
Support for cloud-hosted and on-premises self-hosted deployment architectures for flexible AI system evaluation
Observability
"Detailed tracing of all LLM calls and application logic with comprehensive logging capabilities"
Integration Framework
"Native SDK support for Python and Typescript with integrations for Langchain, OpenAI, Llama Index, Dify, and Litellm"
Performance Analytics
"Advanced monitoring of LLM performance metrics including cost, latency, and user interaction tracking"
Evaluation Mechanism
"Automated quality scoring using LLM-as-a-Judge approach and user/employee feedback collection"
Debugging Interface
"Interactive UI for inspecting logs, managing prompts, and conducting experimental application behavior tests"
Prompt Engineering
Side-by-side comparative analysis of prompts, parameters, models, and model providers across test case banks
Workflow Automation
Prototype and deploy AI workflows integrating business logic, data, APIs, and dynamic prompts for multiple use cases
Model Evaluation
Create comprehensive test case repositories to evaluate and identify optimal prompt and model combinations across diverse scenarios
Request Tracking
Reliable proxy mechanism for connecting applications and model providers with comprehensive request tracking for debugging and quality monitoring
Contextual Search
Advanced document retrieval system enabling company-specific data integration as context for large language model interactions
Standard contract
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