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.

>90% Accuracy
Real-time Processing
Confidence Metrics
Fact-Checking with PraetorUQ
As of 2023, the U.S. water utility market size is estimated at approximately $670 billion, with projected growth driven by population increases and acquisitions of regulated water systems.|
Inaccurate
Checking
Verified
Progress
20%

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.

Unverified Outputs, Lacking Confidence

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
  • Plug-and-Play Integration
  • Actionable Interpretability
❌ No Fact-CheckingLimited

Hallucinations appear unpredictably, risking user trust and credibility.

⚠️ Manual / Rule-Based Fact-CheckingStandard

Labor-intensive, costly, and difficult to scale for real-world applications.

✅ PraetorUQ Fact-CheckingAdvanced

- To pinpoint specific spans likely to contain hallucinations
- To deliver 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

Unverified
The long-term debt to total assets ratio is reported at 16.93, underscoring the company's commitment to funding operations through debt rather than equity, which raises concerns about financial flexibility.

Warning: This content contains potential inaccuracies and has not been verified for factual correctness.

Fact-Checked Content

Verified
The long-term debt to total assets ratio is notably high at 73.96%, suggesting that a significant portion of Ford's assets is financed through long-term debt.

Validation: This content is fact-checked by PraetorUQ with over 90% confidence.

Suspicious InformationInformation that needs correction
Correct InformationAccurate information
Ambiguous InformationAmbiguous information

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