Algorithmic Fact-Checking
Cross-verify AI-generated earnings summaries against historical SEC filings using multi-agent debate to eliminate numerical hallucinations.
The Baseline
Single LLMs frequently hallucinate financial figures when summarizing lengthy earnings calls. Financial institutions cannot rely on unverified AI outputs for automated trading or reporting.
The Model Orchestra runs a multi-agent debate workflow. It cross-references the generated summaries against structured historical data and forces models to reach a verified consensus.
Eliminates AI hallucinations in financial reporting. Institutions rely on mathematically accurate, peer-reviewed outputs natively generated within the AI layer.
Architecture Flow
Primary Synthesis
"Agent A" (e.g., OpenAI) ingests the raw earnings call transcript and generates a baseline financial summary.
Verification Trigger
The Orchestration Engine detects numerical assertions in the summary and automatically triggers "Agent B" (e.g., Claude) to act as an independent verifier.
Cross-Referencing (Y-Ray Data)
Agent B queries historical SEC filings and internal ledgers via Y-Ray Data to verify Agent A's baseline figures.
Cognitive Debate (Model Orchestra)
If Agent B detects a discrepancy (e.g., a hallucinated revenue figure), it forces Agent A to recalculate and correct the error until both models align on the factual truth.
Core Infrastructure
| Component | Role |
|---|---|
| Model Orchestra | Manages the adversarial multi-agent workflow, pitting different LLMs against each other to force factual consensus. |
| Y-Ray Data | Supplies the verification agents with accurate, structured historical financial data to use as the definitive source of truth. |
| y-ray Deep-Trace | Logs the entire agent debate, providing analysts with a verifiable record of how the models corrected hallucinated data. |
Technical Specifications
AES-256 for data at rest; TLS 1.3 for data in transit
SOX and FINRA reporting standards
Deploys natively on your existing Kubernetes clusters (AWS, Azure, or bare metal)
Build this architecture
Map this workflow to your internal data models. Deploy AVELIN AI to gain sovereign control over your enterprise intelligence.
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