What Helps You Reinvent Agent Evaluation
Test reasoning, planning, and action-taking across controlled, adversarial, and real-world environments to ensure consistent, predictable outcomes
Benchmark agents where they actually operate—private cloud, sovereign environments, or edge deployments—so evaluation reflects real operational constraints
Assess agent decision-making for manufacturing, robotics, healthcare, and regulated industries with domain-aligned test suites and compliance-ready evaluation pipelines
Enable autonomous agents to learn, adapt, and improve with ongoing evaluation loops that track accuracy, safety, reliability, and failure patterns over time
Benefits of Agent Evaluation
Performance Accuracy
Enhance decision precision by benchmarking agents against real-world tasks, edge cases, and failure scenarios
Reliability Scoring
Quantify how trustworthy each agent is with continuous evaluation metrics and scenario-based scoring models
Operational Observability
Gain full transparency into agent reasoning, action traces, and model behavior
Optimization & Model Routing
Improve agent efficiency by routing tasks to the best-performing models based on evaluation results
Featured Solutions
AgentOps: Automated Agent Performance Assessment
AgentOps enables automated monitoring and performance evaluation of AI agents at scale. Analyze behavior, response quality, and execution patterns across real workloads to ensure consistent, high-reliability outcomes
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AgenticOps: Continuous Reasoning & Decision Evaluation
AgenticOps validates how agents think and act—evaluating reasoning chains, action sequencing, and multi-agent coordination. Ideal for testing complex agent workflows across private, sovereign, and edge environments
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Model Risk Management: Safety, Reliability & Compliance Evaluation
Model Risk Management provides structured evaluation for safety, compliance, and operational risk. Identify model drift, failure patterns, and reliability gaps to ensure agents meet enterprise governance standards
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Embodied AI: Real-World Agent Behavior Testing
Evaluate how agents interact in physical or simulated environments. Test adaptability, perception, and autonomous behavior for robotics, manufacturing, and real-world operational scenarios
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Featured Industries
Robotics
Real-World Behavior Testing
Assess agent performance in physical environments—navigation, perception, collision avoidance, task planning, and adaptive behavior. Validate robot intelligence under dynamic, unpredictable real-world conditions
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Finance
Risk-Focused Agent Validation
Ensure financial agents make compliant, explainable, and risk-aware decisions. Evaluate fraud detection, scoring, advisory logic, and reasoning transparency to maintain trust, accuracy, and regulatory adherence
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Retail
Customer & Operations Agent Evaluation
Test agent behavior across retail operations—forecasting, personalization, supply chain logic, pricing, and automated assistance. Ensure decisions stay accurate, context-aware, and customer-friendly at scale
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Energy
Critical Infrastructure Reliability Testing
Evaluate autonomous agents that manage energy grids, predictive maintenance, and resource optimization. Ensure stability, resilience, and safety when agents operate in mission-critical environments
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Agentic Evaluation Control Fabric
Evaluation Control Gateway
Centralize and coordinate all agent evaluation workflows through a unified gateway
Agent Registry & Evaluation Metadata
Maintain a structured registry of agents with detailed evaluation metadata—capabilities, versions, test history, safety flags, and performance benchmarks
Prompt & Scenario Versioning System
Version, compare, and manage prompts and test scenarios to enable stable and repeatable Agent Evaluation
Trusted by leading companies and Partners
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