UpTrain
Claim this toolEliminate guesswork and scale AI confidently with a full-stack LLMOps platform.
Free plan available Visit Website Freemium Visit Website
Tracked since 2026
The Bottom Line
- Price
- Free plan available. Compare plans
Key facts
- Full-stack LLMOps platform for evaluation, experimentation, and improvement of LLM applications.
- Offers 20+ predefined and custom metrics for diverse LLM performance evaluations, including hallucination and context awareness.
- Automates regression testing, provides root cause analysis, and helps enrich datasets for robust LLM development.
Pros
- Provides quantitative scores to eliminate guesswork in LLM development
- Significantly reduces manual review time for LLM outputs
- Offers high agreement (>90%) with human evaluations at a fraction of the cost
- Scalable and reliable, handling millions of responses without failure
- Empowers both developers and managers with insights into LLM performance
Cons
- Specific pricing details are not publicly available without a demo or contact
- Requires integration into existing LLM pipelines
What is UpTrain?
UpTrain is a comprehensive LLMOps platform designed to help developers, product managers, and business leaders evaluate, experiment with, and improve their Large Language Model (LLM) applications in production. It provides a robust framework for systematically assessing LLM performance, identifying issues, and iterating on models and prompts with confidence.
The platform offers over 20 predefined metrics for diverse evaluations, covering aspects like response relevancy, structural integrity, hallucination detection, and context utilization. Users can also define custom metrics to suit specific needs. UpTrain automates regression testing for prompt, configuration, and code changes across varied test sets, ensuring stability and allowing for hassle-free prompt versioning. Beyond just monitoring, it isolates error cases, finds common patterns, and provides root cause analysis to accelerate improvements. UpTrain also helps in creating and enriching diverse datasets for testing, including capturing edge cases from production environments. It is built for developers, offering single-line integration and compliance with data governance needs, with options for self-hosting on various cloud providers.
Available on: Web
Key Features
- 20+ predefined LLM evaluation metrics
- Custom metric definition framework
- Automated regression testing for prompt, config, and code changes
- Prompt versioning and rollback
- Error case isolation and pattern identification
- Root cause analysis for LLM failures
- Dataset enrichment and creation for diverse test cases
- Single-line API integration
Pricing
Freemium
UpTrain offers a generous free tier with optional paid upgrades for advanced features.
UpTrain by the numbers
| Metric | UpTrain | Peer median | Position (1 is best) |
|---|---|---|---|
| Free plan | Yes | 75% have one | n/a |
| Listed as an alternative to | 2 tools | 2 | #192 of 393 (joint) |
Listed as an alternative to: #186 on 2026-10-16 to #192 on 2026-10-31 (rank among 393 tools, 1 is best).
Each position is counted among the tools that have data for that row, as noted under it. All Testing & QA data · How we compute this. Advertising and placement fees are not inputs to any position.
Cite this: Toolradar, “UpTrain by the numbers”, Oct 2026.
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UpTrain FAQ
How does UpTrain help in improving LLM application performance?
UpTrain helps improve LLM application performance by providing over 20 predefined metrics for evaluation, enabling users to identify issues, and offering root cause analysis. It also automates regression testing for prompt and configuration changes, ensuring stability and facilitating iterative improvements.
Which teams would benefit most from using UpTrain?
UpTrain is designed for developers, product managers, and business leaders involved in building and deploying LLM applications. It provides insights for both technical teams to iterate on models and prompts, and for managers to understand LLM performance.
How does UpTrain compare to Langfuse for LLM evaluation?
UpTrain focuses on providing quantitative scores to eliminate guesswork in LLM development and offers automated regression testing for prompt and code changes. It also emphasizes isolating error cases and providing root cause analysis to accelerate improvements, which are key differentiators in its approach to LLMOps.
Does UpTrain offer a way to evaluate custom metrics for LLMs?
Yes, while UpTrain provides over 20 predefined metrics for diverse evaluations, users can also define custom metrics. This allows the platform to be tailored to specific evaluation needs beyond the standard offerings like relevancy or hallucination detection.
What kind of data governance options does UpTrain provide?
UpTrain is compliant with data governance needs and offers options for self-hosting on various cloud providers. This ensures that organizations can maintain control over their data while utilizing the platform's LLMOps capabilities.
How is UpTrain priced?
UpTrain includes a free tier for initial use, with paid plans available that unlock more usage and additional features. Specific pricing details are available upon request through a demo or direct contact.
Source: uptrain.ai