Delivering Credibility for decision confidence and misinformation mitigation
Cutting through the noise through a source dynamic credibility index, and transparent source information.
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Cutting through the noise through a source dynamic credibility index, and transparent source information.
Request DemoAleta Index filters overwhelming streams of news, social, and data to surface only the most credible, relevant insights. By mapping narratives, themes, and context, we improve monitoring accuracy and spotlight what truly matters. The system also tracks how narratives evolve over time, revealing shifts in sentiment, influence, and potential impact across domains.
We build a dynamic source–theme credibility index, modeling how each source behaves, frames narratives, and aligns with real-world outcomes. This behavioural profiling generates transparent, ranked credibility scores, helping analysts, investors, and AI systems rely on information that’s empirically proven, not assumed.
Aleta Index analyses how individual articles align or diverge from the broader narrative they belong to. By comparing claims, tone, and framing across sources, the system detects potential misinformation, omissions, or distortions at the single-article level, highlighting when a story deviates from credible consensus or reshapes facts through selective reporting.
Aleta Index ensures every output is explainable, auditable, and compliant with ethical AI standards. With traceable credibility scores and safe-to-integrate APIs, we enable enterprises to build responsible, trustworthy AI solutions.
Portfolio managers, analysts, and traders use Aleta Index to cut through data noise, track market narratives, and assess impact and risk with trustworthy intelligence.
Our credibility-enriched APIs deliver explainable, traceable data for AI training, in-house solutions, and seamless integration into analytics platforms.
Regulators and policy leaders gain compliance-ready, transparent intelligence to monitor risks, misinformation, and systemic impacts.
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Researchers access transparent, empirically grounded data to study source credibility, information flows, and AI trustworthiness.
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