Logo of Traceloop

Traceloop

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Last updated on

Company health

Employee growth
98% increase in the last year
Web traffic
48% decrease in the last quarter
Financing
October 2022 - $500K

Traceloop description

Traceloop helps you monitor the performance of your AI-powered applications. It identifies problems, helps you understand their impact, and allows you to fix and update your AI without disrupting your business. This focuses on improving the reliability and effectiveness of your AI. Traceloop is particularly suited to mid-size and larger companies who have already integrated AI into their operations. It promises smoother, more dependable performance from your AI applications.


Who is using Traceloop?


Who is Traceloop best for

Traceloop monitors AI application performance, identifies problems, and helps fix them without disruption. Designed for mid-size to large companies already using AI, Traceloop ensures smoother, more dependable AI operation, focusing on improved reliability and effectiveness. This is especially helpful for IT and telecommunications businesses.

  • Ideal for mid-size to large companies (101+ employees) seeking to enhance AI reliability.

  • Particularly well-suited for software, IT, and telecommunications companies leveraging AI.


Traceloop features

Supported

Traceloop allows backtesting changes and monitoring the output quality of LLM applications, providing real-time alerts about unexpected changes.

Supported

Traceloop helps debug prompts and agents by providing insights into LLM application performance, enabling tracing, inspection, and modification.

Supported

Traceloop provides end-to-end visibility into LLM applications, allowing users to understand user behavior and identify areas for improvement through dashboards and visualizations.

Supported

Traceloop offers zero integration and zero intrusion, making it easy to get started without disrupting existing workflows.

Supported

Traceloop provides prompt management capabilities, allowing users to try out different prompts and optimize their performance.

Supported

Traceloop allows on-premise deployment in any environment, including AWS, GCP, Azure, and any Kubernetes setup, as well as air-gapped and restricted environments.


Traceloop pricing

See the Traceloop pricing page.

  • Traceloop has a free plan.

  • Traceloop has a free trial.

Free Forever
Free

Includes up to 50K spans/month, up to 5 seats, 24 hours data retention, monitoring dashboard, evaluation dashboard, CI/CD integration, and prompt management.

Enterprise
Custom

Includes more than 50K spans per month, unlimited seats, custom data retention, monitoring dashboard, evaluation dashboard, CI/CD integration, prompt management, SOC 2 compliance, on-prem deployment option, and dedicated Slack support.


Traceloop alternatives

  • Logo of Arize AI
    Arize AI
    Monitor, troubleshoot, and improve your AI's performance.
    Read more
  • Logo of LLM Operations and Integration Platform
    LLM Operations and Integration Platform
    Streamlines building, running, and improving AI-powered apps.
    Read more
  • Logo of Vertex AI
    Vertex AI
    Unified machine learning platform to build, deploy, and scale AI.
    Read more
  • Logo of Helicone
    Helicone
    Observe, analyze, and optimize your AI app's performance and cost.
    Read more
  • Logo of WhyLabs
    WhyLabs
    AI observability platform. Keeps your AI reliable and fair.
    Read more
  • Logo of Composable
    Composable
    Build, deploy, and manage custom AI apps securely and easily.
    Read more

Traceloop FAQ

  • What is Traceloop and what does Traceloop do?

    Traceloop monitors the performance of AI-powered applications. It identifies and helps resolve issues, allowing updates without business disruption. Traceloop offers features like LLM application backtesting, prompt debugging, and seamless integration, improving AI reliability and effectiveness. It's ideal for mid-size to large companies already utilizing AI.

  • How does Traceloop integrate with other tools?

    Traceloop seamlessly integrates with your existing workflows, offering zero integration and zero intrusion. It's deployable on-premise in various environments, including AWS, GCP, Azure, Kubernetes, and even air-gapped systems. This allows for flexible integration with your current infrastructure.

  • What the main competitors of Traceloop?

    Alternatives to Traceloop include Dynatrace for application performance monitoring, neptune.ai for machine learning model tracking, Superwise for AI model health, TrueFoundry for model deployment, and SAS Viya for advanced analytics and AI.

  • Is Traceloop legit?

    Yes, Traceloop is a legitimate software company specializing in AI application monitoring. They help businesses ensure their AI operates smoothly and reliably, enhancing performance and identifying potential issues. Their strong employee growth suggests a thriving company.

  • How much does Traceloop cost?

    Traceloop does not publicly disclose pricing information. Contact Traceloop directly to obtain product pricing and determine if it's worth the investment for your needs.

  • Is Traceloop customer service good?

    There is no information available about Traceloop's customer service.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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