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Traceloop

Traceloop

Traceloop

Uses OpenTelemetry tracing data with generative AI to improve system reliability.

Updated 7h ago
ContactAI Agents37

About Traceloop

Traceloop is an LLM reliability platform providing observability and continuous quality evaluation for language model applications, maintaining the open-source OpenLLMetry SDK built on OpenTelemetry standards; the company is joining ServiceNow. Who it's for: teams running LLM applications in production who need real-time monitoring of prompts, responses, and quality (faithfulness, relevance, safety) rather than only pre-launch testing. Strengths: building on OpenTelemetry (an established, vendor-neutral observability standard) rather than a proprietary tracing format is a real, meaningful technical choice for avoiding lock-in. SOC 2 and HIPAA certification plus on-premises/air-gapped deployment options support regulated-industry use cases directly. Weaknesses and limitations: the company being acquired into ServiceNow means product direction and standalone availability may change going forward — worth checking current status before committing long-term. No pricing is published on the main page. Real-world scenario: a team running an LLM application in production needs real-time monitoring for quality regressions (hallucination, unsafe outputs) as prompts or the underlying model change over time.

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Key Information

Pricing
Contact
Free Trial
No
API Access
No
Category
AI Agents
Developer
Traceloop
Last Updated
7h ago
Website Status
Online
Documentation
View Docs

Features

Real-time monitoring of prompts, responses, and latency
Automated quality checks: faithfulness, relevance, safety
Open-source OpenLLMetry SDK on OpenTelemetry
SOC 2 and HIPAA certified
On-premises and air-gapped deployment options

Pricing

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Pricing is available by contacting the provider directly.

Pros and Cons

Cons

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Reviews & Ratings

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Frequently Asked Questions

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