Home/AI Assistants/Progress AI Observability
Progress AI Observability

Progress AI Observability

Trace, evaluate, and improve AI agents in production

173upvotes
Launched August 7, 2026

About Progress AI Observability

Progress AI Observability is a cutting-edge SaaS platform designed for developers and AI teams seeking robust monitoring and debugging solutions for AI agents in production. It enables users to trace every run of their AI models, identify failures, hallucinations, and ungrounded responses that traditional monitoring tools often miss. By offering detailed insights into AI behavior, it helps reduce token waste, improve response accuracy, and accelerate deployment cycles. Supporting languages like .NET, Python, and JavaScript, the tool integrates seamlessly into diverse development environments, making it accessible for a wide range of AI applications. Its focus on real-time diagnostics and precise error attribution makes it a valuable asset for enhancing AI reliability and performance in complex production settings.

Screenshots

Progress AI Observability screenshot 1
Progress AI Observability screenshot 2
Progress AI Observability screenshot 3
Progress AI Observability screenshot 4
Progress AI Observability screenshot 5
Progress AI Observability screenshot 6

+1 more screenshots

Pros

  • Deep tracing and debugging capabilities for AI agents
  • Supports multiple programming languages for flexible integration
  • Focuses on identifying hallucinations and ungrounded responses
  • Helps reduce token waste and improve model efficiency
  • Speeds up debugging and deployment processes

Cons

  • Limited user base or community support currently visible
  • Pricing details are not explicitly disclosed, possibly higher for enterprise plans
  • May require technical expertise to fully leverage advanced features

Use Cases

1Monitoring and debugging AI chatbots and conversational agents
2Identifying hallucinations and ungrounded responses in language models
3Reducing token waste in large-scale AI deployments
4Improving AI model accuracy through detailed run analysis
5Integrating AI observability into CI/CD pipelines
6Troubleshooting failures in AI-powered applications

Pricing

Likely operates on a subscription-based model with tiered plans, possibly including a free trial or tier, but specific pricing details are not publicly available. Enterprise pricing may vary based on usage and features.

Quick Info

Upvotes173
Comments15
Launched8/7/2026

Topics

SaaSSoftware EngineeringArtificial Intelligence

Makers

Alexander Zlatkov

Alexander Zlatkov

@a_zlatkov

Alternatives

Weights & Biases
MLflow
Neptune.ai
DataRobot MLOps
Seldon Core
View all Progress AI Observability alternatives →

Embed Badge

Add this badge to your website to show that Progress AI Observability is featured on Visalytica.

<a href="https://www.visalytica.com/tool/progress-ai-observability" target="_blank" rel="noopener noreferrer" style="display:inline-flex;align-items:center;gap:6px;padding:6px 14px;background:#7c3aed;color:#fff;border-radius:8px;font-family:-apple-system,system-ui,sans-serif;font-size:13px;font-weight:600;text-decoration:none;transition:background .2s" onmouseover="this.style.background='#6d28d9'" onmouseout="this.style.background='#7c3aed'"><svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round"><path d="M12 20V10"/><path d="M18 20V4"/><path d="M6 20v-4"/></svg>Featured on Visalytica</a>