Real-time plan matching, faster quotes, and scalable insurance automation. Insurance recommendation system using Streamlit, OpenAI embeddings, Pinecone. […]
AI-Powered Insurance Recommendation Engine

Real-time plan matching, faster quotes, and scalable insurance automation. Insurance recommendation system using Streamlit, OpenAI embeddings, Pinecone. […]
A lead gen agency partnered with Statistique to fully automate its outbound pipeline—scraping, verifying, enriching, and personalizing leads with zero manual effort. The result: cleaner data, better outreach, and faster scaling. […]
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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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Statistique entered the scene to create and implement a highly performing, totally automated trading platform when a U.S.-based financial services company aimed to get a foothold in the erratic crypto markets. Designed for speed, adaptability, and strong analytics, this solution has enabled our customer to execute trades with low latency—while preserving strict risk limits and […]
Read More… from Algorithmic Crypto Trading System for a US-Based Trading Firm
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. 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 […]
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Dealing with hitherto unheard-of difficulties during the COVID-19 epidemic, Kashf Foundation aimed to learn how its customers were changing their borrowing patterns. Understanding Statistique’s established knowledge in data-driven insights and risk assessment, they teamed with us to get practical advice for negotiating these uncertainties. Project Overview: Client: Kashf Foundation, a pioneering microfinance institution in Pakistan. […]
Read More… from Optimizing Loan Disbursement Through Repayment Pattern Analysis