ConclAIve Analytics
ConclAIve Analytics
Advanced reasoning engines for data-driven industries — from market forecasting and medical QA to mathematical discovery. Each module runs independently with multi-agent precision, designed for high-fidelity, low-hallucination analytics.
Trading Intelligence (V2)
Purpose: Generate multi-horizon financial forecasts (short, mid, long term) through collaborative AI reasoning.
Input: Market tickers / sector data / macro events.
Output: Consensus forecast built from multi-agent evaluation of catalysts, sentiment, and scenario paths.
Calibrated on multi-agent economic modeling methods (Minsky – Shiller – Taleb, 1975 – 2020).
Cardiology Diagnosis & Treatment
Purpose: Support evidence-based cardiac diagnostics and therapy optimization through coordinated medical AIs.
Input: Clinical parameters / imaging / lab results / treatment history.
Output: Consolidated diagnostic hypothesis + personalized treatment plan with cross-AI verification.
Built on medical consensus protocols inspired by multidisciplinary "tumor board" methodologies (2000 – 2023).
Mathematical Research Engine
Purpose: Explore mathematical and theoretical problems through collaborative multi-agent reasoning.
Input: Equation / hypothesis / domain (context).
Output: Proposed proofs / counter-examples / new theoretical structures validated by consistency checks.
Framework inspired by the Polymath Project and Pólya's problem-solving heuristics (1945 – present).