Arthur AI
UnclaimedThe full lifecycle platform for evaluating and shipping reliable AI agents fast.
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TL;DR - Arthur AI
- Provides continuous evaluation and monitoring for AI models and agents.
- Includes built-in guardrails to prevent misuse and off-brand AI interactions.
- Supports any model type and offers flexible deployment options for enterprises and startups.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Ensures high reliability and performance of AI systems.
- Reduces maintenance workload for AI models by up to 50%.
- Offers robust security features with built-in guardrails.
- Highly flexible and supports a wide range of AI models and deployment environments.
- Provides comprehensive tools for the entire AI lifecycle, from experimentation to production monitoring.
Cons
- Advanced features like dedicated VPCs and custom evals are only available on Enterprise plans.
- The free tier has limitations on data retention, use cases, and monitoring metrics.
- Requires integration and setup, which might have a learning curve for new users.
Key Features
Continuous evaluation of AI models and agents (Evals Engine)Built-in guardrails for misuse and off-brand interaction preventionModel-agnostic support for traditional ML, GenAI, and agentic systemsFlexible deployment options (SaaS, on-prem, GCP, AWS)Real-time monitoring of AI interactions and performance metricsCustomizable dashboards and alertingPrompt management and experiment runsPII, sensitive data, custom LLM, and regex rules
Pricing Plans
Free TrialFree
$0/mo
- Monitor model performance with core metrics
- Cloud data connector integrations built-in
- Monitoring for up to 4 use cases
- Unlimited seats
- 1 organization
- 1 workspace
- 2 projects
- Unlimited users
- API access
- UI Access
- Unlimited data features
- 7 days data retention
- Cloud Data Connectors
- Dashboards & Data Visualization
- Data Drift
- Performance Metrics
- Data Pipeline Metrics
- Segmentation
- Chat Playground
- Prompt Management
- Experiment Runs
- RAG Optimization
- Datasets
- Continuous Evals
- Tracing
- User Feedback Tracking
- Human Annotation
- 5k jobs
- 300k spans
- 12k inferences
- 3k evals
- Token and Cost Tracking
- OpenTelemetry
- Community support
- Explainability methods
Premium
$60/mo
- Everything in Free
- Robust capabilities to confidently ship AI agents
- Customizable performance metrics and dashboards
- Custom alerting & webhook integrations
- Monitoring for up to 100 use cases
- 1 organization
- 1 workspace
- 10 projects
- Unlimited users
- Role based access control (RBAC)
- API access
- UI Access
- Unlimited data features
- 30 days data retention
- Cloud Data Connectors
- Custom Data Connectors
- Dashboards & Data Visualization
- Data Drift
- Performance Metrics
- Data Pipeline Metrics
- Segmentation
- Customizable Dashboards
- Custom metrics
- Chat Playground
- Prompt Management
- Experiment Runs
- RAG Optimization
- Datasets
- Continuous Evals
- Custom Evals
- Tracing
- User Feedback Tracking
- Human Annotation
- 20k jobs
- 1.2M spans
- 100k inferences
- 75k evals
- Token and Cost Tracking
- OpenTelemetry
- Custom Alerts (up to 3 per model)
- Alert Checks (up to 6 per hour)
- Webhooks
- Explainability methods
- Email support
Enterprise
custom
- Everything in Premium
- Dedicated and managed VPC options
- Custom data, jobs, traces and evals
- Dedicated customer success manager
- Advanced monitoring, SSO, SLAs and BAA
- Unlimited organizations
- Unlimited workspaces
- Unlimited projects
- Unlimited users
- Role based access control (RBAC)
- API access
- UI Access
- External OIDC/SAML single sign-on (SSO)
- Unlimited data features
- Unlimited data retention
- Cloud Data Connectors
- Custom Data Connectors
- Dashboards & Data Visualization
- Data Drift
- Performance Metrics
- Data Pipeline Metrics
- Segmentation
- Customizable Dashboards
- Custom metrics
- Chat Playground
- Prompt Management
- Experiment Runs
- RAG Optimization
- Datasets
- Continuous Evals
- Custom Evals
- Tracing
- User Feedback Tracking
- Human Annotation
- Custom jobs
- Custom spans
- Custom inferences
- Custom evals
- Token and Cost Tracking
- OpenTelemetry
- Unlimited Custom Alerts
- Custom Alert Checks
- Webhooks
- Explainability methods
- Dedicated Customer Success Manager
- Dedicated Channel
- Uptime SLA
- Professional Services (add-on)
About Arthur AI
By Toolradar Team·
Arthur AI provides a comprehensive platform designed to help organizations build, deploy, and monitor reliable AI agents and models. It addresses the challenges of AI project success by offering continuous evaluation capabilities across the entire AI lifecycle, ensuring visibility and reliability.
The platform integrates built-in guardrails to protect AI applications from misuse and off-brand interactions, enhancing security and brand consistency. Arthur AI is model-agnostic, supporting traditional machine learning, Generative AI, and agentic systems, making it versatile for various AI use cases. It offers flexible deployment options including SaaS, on-premise, and direct integration with GCP or AWS, catering to diverse infrastructure needs. The platform aims to reduce maintenance workloads and accelerate the implementation of production models.
Arthur AI is ideal for enterprise AI teams, AI-native startups, and organizations looking to ensure the reliability, performance, and security of their AI deployments. It provides tools for monitoring model performance, managing prompts, running experiments, and conducting continuous evaluations, ultimately helping teams ship AI that works consistently and prevents unwanted outputs.
How we evaluate tools →Source: arthur.ai
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Arthur AI FAQ
How does Arthur AI's Evals Engine support both traditional ML and Generative AI models?
Arthur AI's Evals Engine is designed to be model-agnostic, meaning it can evaluate the performance of both traditional machine learning models (like classifiers, regression, and NLP) and Generative AI systems (such as RAG Co-Pilots, LLMs, and AI Agents). It provides continuous evaluation across various metrics relevant to each model type, ensuring reliability regardless of the underlying AI architecture.
What specific types of guardrails does Arthur AI offer to protect against unwanted outputs?
Arthur AI incorporates built-in guardrails that leverage PII detection, sensitive data identification, custom LLM rules, and regex rules. These mechanisms are designed to block problematic responses and off-brand interactions before they reach end-users, ensuring that AI agents operate within defined safety and brand guidelines.
Can Arthur AI be deployed in a self-managed VPC or on-premise environment, and what are the benefits of these options?
Yes, Arthur AI offers flexible deployment options including self-managed VPC service, BYOCloud, and on-premise installations, in addition to multi-tenant and single-tenant SaaS. These options provide enhanced data security, locality, and control, which are crucial for organizations with strict compliance requirements or specific infrastructure preferences, especially for Enterprise-tier customers.
How does the Startup Partner Program specifically assist venture-backed startups using AI Agents?
The Startup Partner Program is tailored for venture-backed startups focused on building and reliably shipping AI Agents to production. While specific benefits are not detailed, it aims to provide support and resources to help these startups overcome the challenges of deploying AI agents effectively, likely including specialized guidance, discounted access, or tailored features.
What is the difference in data retention and monitoring capacity between the Free, Premium, and Enterprise plans?
The Free plan offers 7 days of data retention, monitoring for up to 4 use cases, 5k jobs, 300k spans, 12k inferences, and 3k evals. The Premium plan extends this to 30 days of data retention, up to 100 use cases, 20k jobs, 1.2M spans, 100k inferences, and 75k evals. The Enterprise plan provides unlimited data retention and custom capacities for jobs, spans, inferences, and evals, along with advanced monitoring and support features.
Source: arthur.ai