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EvalOps AI

EvalOps AI is a production-grade observability and evaluation platform for AI systems, built to tame the non-deterministic output of LLMs and autonomous agents. With systematic evals, built-in guardrails and real-time telemetry, engineering teams can ship and run AI that stays reliable, safe and compliant at scale.
AI agent evaluationLLM observabilityproduction AI safetyAI risk assessment platformAI monitoring for DevOpsred-team LLM testingAI drift detection

Features of EvalOps AI

Systematic agent evaluation covering task accuracy, safety and policy compliance.
Real-time risk scoring and action interception before agents touch production.
Production-ready telemetry: structured logs, latency metrics, data-drift alerts.
Dynamic test harness with built-in red-team scenarios to surface hidden risks.
Native connectors for AWS, GCP and Kubernetes for environment-aware testing.
CI/CD gates that block regressions caused by prompt or model changes.
Vendor-neutral architecture plus open-source CLI—own your API keys, pay your own bill.

Use Cases of EvalOps AI

Engineering teams running pre-flight safety & performance checks before agents hit prod.
Ops teams tracking live drift, latency spikes and failure rates across AI services.
Security teams auditing autonomous actions (code exec, infra changes) for compliance risk.
Developers adding automated evals as a merge gate in GitHub/GitLab pipelines.
Regulated companies adding guardrails and audit trails to AI chatbots or decision agents.
Product teams A/B-testing different models or agent versions for ROI and safety.

FAQ about EvalOps AI

QWhat is EvalOps AI?

It’s an evaluation and observability platform that lets you test, monitor and secure LLM-powered agents before and after they reach production.

QWhat problem does it solve?

It prevents autonomous agents from taking unsafe or non-compliant actions caused by misunderstanding live environments or drifting prompts.

QHow is it priced?

Free tier for individuals, usage-based subscription for teams, custom enterprise plan with private-cloud option—check the website for current numbers.

QWhich AI apps can I evaluate?

Any LLM app or agent, from simple chatbots to multi-step autonomous workflows. Metrics cover accuracy, safety, compliance and cost.

QHow does it keep evaluations secure?

Pre-execution risk scoring, input/output guardrails, sandboxed runtime and environment-graph decisions stop dangerous actions before they happen.

QCan I plug it into my existing pipeline?

Yes—native CI/CD integrations, open CLI and REST API let you gate deploys on eval results.

QDo I have to use a specific model?

No. EvalOps is vendor-neutral; you bring your own API keys and pay providers directly.

QWho should use it?

Engineering, DevOps and security teams shipping AI agents to production and needing provable reliability, safety and compliance.

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