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SafeGPT

Detect errors, biases, and privacy issues, track LLM performance, receive alerts, and analyze root-causes in real-time.

Try SafeGPT free
  • Free plan available
  • No credit card
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What is SafeGPT?

SafeGPT is a monitoring and testing platform for large language models that helps teams identify and address problems before they reach users. It focuses on three main areas: detecting errors in model outputs, identifying biases that could affect fairness, and spotting privacy issues such as data leakage. The tool tracks how your LLM performs over time, sends alerts when problems occur, and provides analysis to help you understand why issues happened. This is particularly useful for organisations deploying language models in production, where reliability and safety matter. SafeGPT works as a quality assurance layer, giving teams visibility into model behaviour and the ability to act on issues quickly.

Key features

Error detection

identifies incorrect or nonsensical outputs from language models

Bias detection

flags potentially discriminatory behaviour or unfair responses across protected characteristics

Privacy monitoring

catches instances where models might leak sensitive data or information they shouldn't share

Performance tracking

measures model quality metrics over time to spot degradation

Real-time alerts

notifies you when problems occur so you can respond quickly

Root cause analysis

helps you understand why specific failures happened

Pros & cons

Advantages

  • Addresses three critical concerns (errors, bias, privacy) in one tool rather than using separate solutions
  • Real-time monitoring means issues are caught quickly rather than discovered by users
  • Freemium model lets you evaluate the tool before committing to paid features
  • Practical focus on root cause analysis helps teams actually fix problems, not just identify them

Limitations

  • Effectiveness depends on having clear definitions of what constitutes errors, bias, and privacy violations in your specific use case
  • Limited information available about how well the bias detection performs across different model types and domains

Use cases

Monitoring customer-facing chatbots to catch harmful outputs before users encounter them

Testing language models for demographic bias before deploying them in hiring or lending applications

Detecting whether models are accidentally revealing training data or confidential information

Tracking performance of language models in production to identify when retraining or updates are needed

Quality assurance testing during model development to catch issues before release

Ready to try SafeGPT?

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Pricing

Free

Free

Basic error, bias, and privacy detection; limited monitoring and alerts

Paid tiers

Custom pricing

Full real-time monitoring, advanced root cause analysis, priority support, higher usage limits

Get started with SafeGPT

Click through to SafeGPT and start using it now.

Try SafeGPT free
  • Free plan available
  • No credit card