AI Research Analyst - Performance Insights

Understanding how Alethos delivers reliable & actionable insights for credit risk management

92%

Decision Accuracy

Delivers a proven, high-conviction verdict with 92% accuracy in every instance where the analyst issues a definitive call.

0%

Hallucination Rate

Eliminates guesswork by providing clear resolution guidelines instead of assumptions when data remains ambiguous.

4x

Risk Detection

Outperforms the population baseline by almost 400% in detecting next-year bankruptcy patterns and hidden risk signatures early.

98%

Solvency Detection

Provides near-perfect identification of resilient archetypes to filter out noise and ensure portfolio anchors are truly secure.

±3.43%

Calibration Precision

Maintains confidence probability estimates where the average deviation from reality is a near-perfect margin of error.

Decision Reliability

Fact-anchored Correctness

92.1%
198 correct
17 errors
of 215 predictions

Of all the companies Alethos issued an analyst prediction for, 92.1% received the correct next-year bankruptcy outcome prediction. When our AI Research Analyst flags a company, that signal is not only backed by statistically verified hypotheses, but also highly reliable.

A Model You Can Trust

Confidence calibration reliability

3.43%CALIBRATIONERROR

The model's confidence closely matches reality: with 96.6% calibration, its predictions are on average only about 3.4% away from actual outcomes. This allows users to treat the displayed confidence scores as a reliable signal of how trustworthy each prediction is.

Zero-Hallucination Integrity

Proven knowledge Zero guesswork

Reliable Assessment Zone
51%

Predictions with Confidence: For these companies, the model's learned internal knowledge supports a well-grounded assessment with high signal reliability.

215 cases
Anti-Hallucination Zone
49%

Safe & Intelligent Abstentions: These cases are inherently unclear and highly ambiguous. The model consciously abstains rather than risk hallucinating an answer it cannot ground.

205 cases
100% of cases pass through rigorous internal evaluation. Every prediction is either grounded in reliable, mathematically proven knowledge or honestly withheld to avoid hallucinations.

Knowledge Utilization

Hypothesis Usage per Assessment

Bankrupt
2.86
Solvent
1.68
Overall average usage across samples1.91

Performance Advantage

Credit risk precision

Baseline
Model

Novel Knowledge Discovered

Mapping the knowledge frontier

Total Knowledge Yield

50%

The model has successfully uncovered 50% of the underlying knowledge driving the data with high reliability. While 100% represents theoretical omniscience—the absolute ceiling of all discovery—our system has effectively decoded 50% of the entire predictive knowledge from the data.

Knowledge Yield

The model's current discovered knowledge / explanatory reach

Perfect Knowledge

Absolute Omniscience - The Theoretical Limit that could ever be discovered

Key Evidence Drivers

Influencial Knowledge driving Assessments

1

Public Disclosures of Going Concern Doubts and Bankruptcy Plans Predict Near-Term Corporate Failure

2

Financing Uncertainty Combined With Material Asset Impairments Indicates Significant Corporate Bankruptcy Risk

3

Loan Covenant Violations and Debt Reclassification Serve as Strong Predictors of Company Bankruptcy

4

Management Doubts and Asset Write-Downs Signaling Imminent Risk of Corporate Bankruptcy

5

Going Concern Disclosures and Funding Uncertainty are Leading Indicators of Company Bankruptcy

Ranked according to importance for predictionsTop 5 rules
ALETHOS BRAIN

No Data

No hypothesis data available