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