First You Can Trust

Artificial intelligence is nothing without human wisdom. Our systems are trained by the learned eyes of experienced journalists.

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Journalistic AI

Layer 01
Adaptive Event Detection

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AXL logo in small orange circle, pulsing.
DATA PROVENANCE TO FOSTER TRANSPARENCY

AI agents scout vetted data sources,

recognize patterns, see how they interact and apply advanced anomaly detection to surface early risk signals in data. This approach dynamically classifies changes in text data, generating proprietary event data.

Layer 02
Xpert Model Training

Card with text 
"Auditor Editing"
"High Impact Event" followed by a barcode.
"Context" followed by bars indicating text.
"Noteworthingess" followed by a slider going from low to high.
"Editorial reasoning" followed by a barcode.
The AXL logo, and a "Retrain" button.
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CONTINUOUS FEEDBACK LOOPS TO BUILD TRUST

Human editors direct ML models

by providing feedback on event newsworthiness, and adding context. Analyst agents are trained to look at the data like a team of seasoned journalists, ensuring that outputs are accurate and infused with specialized knowledge.

Layer 03
Live Accuracy and Context

Data Fact Checking and Source Data cards, showing an error
BUILT-IN CHECKS KEEP THE MODEL HONEST
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AI fact-checks itself

Reporter AI agents trigger specialized language models to generate written analyses. If an error is detected, the content is flagged for human review, where the algorithm is instructed to correct any future similar errors.

JOURNALISTIC INTEGRITY AT
COMPUTATIONAL SPEED

AppliedXL aligns artificial intelligence with the core principles of journalism, ensuring that the data analysis and content generation are guided by accuracy, objectivity, and transparent reporting.

concentric circles labeled Objectivity, Transparency and Accuracy
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