Cutting-Edge Fact-Checking Service
PraetorUQ is our cutting-edge Uncertainty Quantification (UQ) framework purpose-built for LLMs. It integrates a suite of state-of-the-art techniques alongside proprietary algorithms to deliver robust, reliable performance in high-stakes domains such as finance where accuracy and trustworthiness are non-negotiable.
The Challenge
As AI-generated content becomes more convincing, yet potentially deceiving, and misinformation spreads rapidly, the need for reliable, real-time fact-checking has never been greater.
Black-box Outputs, No Confidence Scores
Modern LLMs generate fluent answers, but offer no indication of how confident they are. Users can’t tell when to trust the model—and when to double-check.
- Lack of native QA signals in LLM-generated outputs
- Lack of safeguards against overconfident hallucinations that mislead users
Too Slow to Verify at Scale
Current fact-checking workflows—manual or model-assisted—are too slow and reactive. LLMs may surface incorrect claims faster than humans can verify them.
- Verification lags behind content generation
- Misinformation spreads before it’s caught
Our Key Technology
Fact-Checking Process with Uncertainty Quantification
LLM Output
Smart PraetorUQ
Flagged Content
Fact-checked Result
Key Features of PraetorUQ
PraetorUQ evaluates and quantifies the reliability of LLM outputs, empowering users to make informed decisions with confidence. Key features include:
- High Customizability
Seamlessly adapts to your specific use case, whether it's classification, generation, retrieval, or decision support, across any LLM architecture.
- Plug-and-Play Integration
Easily deployable into your existing LLM pipelines, with minimal setup and full compatibility with popular frameworks and APIs.
- Actionable Interpretability
Outputs actionable PraetorUQ signals and diagnostic insights to help trace, understand, and mitigate potential model errors.
Hallucinations appear unpredictably, risking user trust and credibility.
Labor-intensive, costly, and difficult to scale for real-world applications.
Pinpoints specific spans likely to contain hallucinations
Delivers efficient, scalable, and trustworthy content validation
Results Comparison
See the difference our fact-checking service makes by comparing original content with fact-checked versions.
Original Content
Warning: This content contains potential inaccuracies and has not been verified for factual correctness.
Fact-Checked Content
Verified: This content has been fact-checked using our Uncertainty Quantification technology with >90% confidence.
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