When a prominent research group under the Wolfram umbrella sought to understand the ever-evolving sentiment and developments in blockchain ecosystems, they turned to Statistique. Leveraging our expertise in data engineering, NLP, and visual analytics, we developed a unified toolset that aggregated intelligence from GitHub, Twitter, Reddit, and other news sources—painting a detailed, real-time picture of […]
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In today’s information-driven world, social media platforms like Twitter often serve as hotbeds for the rapid spread of misinformation. Recognizing the urgency of this issue, an academic research initiative enlisted Statistique to develop a cutting-edge, ensemble-based solution capable of predicting—and ultimately curbing—fake news. By blending content analysis, sentiment detection, propagation patterns, and user profiling, we […]
When a U.S.-based financial services company sought to gain an edge in the volatile crypto markets, Statistique stepped in to develop and deploy a high-performance, fully automated trading platform. Designed for speed, flexibility, and robust analytics, this solution has empowered our client to execute trades with minimal latency—while maintaining tight risk controls and comprehensive market […]
Read More… from Algorithmic Crypto Trading System for a US-Based Trading Firm
When a U.S. insurance company observed a worrying trend of rising claims and potential misuse, they enlisted Statistique to build and deploy an advanced fraud detection system. Using an automated approach that leveraged both predictive analytics and machine learning, this cutting-edge solution provided near-real-time alerts on fraudulent claims—ultimately protecting the insurer’s bottom line and its […]
Read More… from Insurance Fraud Detection for a US Insurance Provider
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