Multiplatform Launch — February 2026
Querex MCP servers run on ChatGPT, Gemini, Microsoft Copilot 365 & Claude — delivering Power BI queries, statistical research, graph theory, and quantitative finance through natural conversation.
100K-path Monte Carlo simulations, SSA forecasting, competitive analysis — all from your phone in 15 minutes.
Announcements
January 2026 | Data Journalism
How AI Can Create Publication-Grade Journalism with Complex Visualizations and Official Data
A demonstration of how Model Context Protocol (MCP) servers transform journalism. Using Blender MCP for 3D molecular visualizations and SSB MCP for real-time CDC statistics, we built a Quanta Magazine-style investigative piece on ketamine and public health.
Features an interactive 3D ketamine molecule (WebGL), AI-generated memorial artwork, and CDC overdose data from 912 documented cases. A proof-of-concept for AI-augmented investigative journalism.
Read the Demo Article →December 2025 | Government Analytics
Which Ministries Have the Most Master's and PhD Holders?
Using MCP SSB to analyze Norway's government workforce across all ministries and agencies. We discovered that 45.8% of central government employees hold Master's or PhD degrees—with the National Appeals Board for Health Services (Helseklageorgan) leading at 85.7%.
Complete breakdown of 170,655 employees across education levels, gender distribution, and departmental comparisons. Interactive visualizations and statistical analysis from live SSB data.
View Full Analysis → Download PDFJanuary 2026 | Web Analytics
62 Days of Digital Footprints — A Deep Dive Into Web Traffic Intelligence
What does it look like when AI analyzes its own website? Using MCP Statistics, MCP iGraph, and Claude Opus, we transformed 833 unique visitors' journeys into actionable business intelligence—complete with 3D network visualizations.
From raw IIS logs to publication-ready report in just 8 minutes. Discover which pages captivate visitors, how AI bots are consuming content (OpenAI made 456 requests—more than Google!), and the three coordinated attack campaigns we detected.
View Full Report →December 2025 | Demographic Analysis
Population Composition Across Norway, Sweden, Finland, Denmark & Iceland
A comprehensive, data-driven analysis of population composition across all five Nordic nations using exclusively official statistics from each country's national statistical bureau—SSB, SCB, StatFI, DST, and Hagstofa.
Discover how foreign background populations range from 11.1% in Finland to 27.5% in Sweden. Historical time series since 1990, hypothesis testing across countries, and full methodology transparency with cited table identifiers.
View Full Analysis →December 2025 | New MCP Server
Live Data from Statistics Norway in Your AI Conversations
Introducing MCP SSB—our new MCP server that connects directly to Statistics Norway's API. Query 7,500+ statistical tables, analyze wage trends, and generate insights without downloading a single CSV.
We analyzed Norwegian wages across gender, age, industry, and region—discovering a gender gap narrowing from 15.5% to 10.9% over nine years, and Oslo salaries 13.4% above the national average. The entire analysis took just 74 seconds in fully autonomous "auto mode".
View Full Analysis → Download PDFDecember 2025 | Case Study
45 Minutes from Raw Data to Breach Attribution
We ran fraud detection on 5.7 million card transactions. The approach didn't find fraud rings—it found something more valuable: a breach early-warning system that identifies compromised accounts before chargebacks surface.
Graph triangle analysis, community detection, and merchant enrichment—all through natural conversation. No Jupyter notebooks. No cluster provisioning. Just insight at the speed of thought.
Read Case Study →November 2025
Mathematical Certification for Your Analytics Pipeline
You've built sophisticated analytics with our MCP servers. But how do you prove calculations are correct? Not test. Not validate. Prove.
Lean 4 MCP transforms "I think this is right" into "I can prove this is right" — catching floating point errors, unit confusion, and constraint violations that testing misses.
Read Full Announcement →December 2025 | Case Study
AI-Powered Credit Risk Analysis in a Single Session
Watch how we transformed a Power BI semantic model into a complete securitization analysis—$6.4B portfolio, 4-tranche ABS structure, statistical validation, and professional documentation.
End-to-end workflow combining Power BI MCP, Statistics MCP, OR-Tools, Quantitative Finance tools, and Quarto documentation.
Watch the Demo →December 2025 | Statistical Analysis
Do Rising Temperatures Drive Summer Wine Sales?
Testing the global warming hypothesis on Norwegian alcohol sales. We analyzed 178 months of Vinmonopolet data for White, Rosé & Sparkling wines using Power BI MCP and Statistics MCP.
Comprehensive statistical analysis including Pearson correlations, Welch's t-tests, multiple regression, and Cohen's d effect sizes—all computed dynamically from live Power BI semantic model data.
View Case Study → Watch VideoDecember 2025 | Machine Learning
A Real Dialogue with AI: How MCP Servers Enable Interactive Data Science
Watch how we built a tornado magnitude prediction model achieving 38.8% improvement over Julia Silge's XGBoost benchmark—through genuine AI-human collaboration using LightGBM MCP.
View Analysis → Watch VideoDecember 2025 | Fun Analysis
Statistical Analysis of Ted Lasso's Most Expressive Character
Bootstrap resampling, permutation tests, and negative binomial regression to determine: Does coaching status or dating status affect Roy Kent's vocabulary? Spoiler: One does, one doesn't.
View Analysis → Watch VideoThe only solution that enables LLMs to execute professional analytics without Python or R. Direct integration with pre-built MCP servers for quantitative finance, statistics, optimization, and database intelligence.
Explore Capabilities"
Within a stream of data points, we find patterns in seconds that reveal the insights driving your business forward.
"
At Querex, we build AI tools that unlock the full analytical power of your organization's data.
While no one can predict every way AI will transform business intelligence, we do know that powerful analytics require both cutting-edge technology and thoughtful integration with existing systems.
That's why we focus on building tools that work seamlessly with your infrastructure, like MCP server integration. Through our daily development, testing, and customer partnerships, we aim to show what responsible AI-powered analytics looks like in practice.
Query any SQL database naturally. From AdventureWorks to enterprise data warehouses, ask questions in plain language and get instant insights.
Learn moreConnect directly to Power BI datasets and SSAS tabular models. Analyze DAX measures, explore relationships, and query your business metrics.
Learn moreOptimize pricing, portfolios, and promotional strategies. Monte Carlo simulations, elasticity analysis, and competitive scenario modeling.
Learn morePortfolio optimization, option pricing, risk analysis. From Black-Scholes to Monte Carlo VaR, sophisticated financial analytics at your fingertips.
Learn moreSolve complex optimization problems. Assignment algorithms, vehicle routing, job shop scheduling, and constraint programming solutions.
Learn moreComprehensive statistical analysis toolkit. Hypothesis testing, regression models, time series analysis, and Markov attribution modeling.
Learn moreReal questions. Real answers.
@NBIM @ParetoSec @claudeai @marcorus
— Patricio Lobos (@strandedinoslo) September 16, 2025
The future of Quantative Finance, today, right now, @business @FactSet level intelligence at every single human on the planet, for peanuts @WesRothMoney @simonw this will disrupt every quant in the world and democratize the markets and quant… pic.twitter.com/m1xou1KQwp
"Show me total sales by product category for 2023"
Querex instantly delivers:
Plus trend analysis showing 15% growth in Components
"Which sales territories are underperforming vs. quota?"
Querex analyzes and reports:
"What's the optimal price for Road Bikes to maximize profit margin?"
Querex runs elasticity analysis:
Analysis accounts for demand elasticity, competitive positioning, and customer segments
These insights took seconds, not hours. No SQL. No waiting. Just ask.
Try It With Your DataReal portfolio questions. Institutional-grade answers.
Using the LendingBank loan portfolio database.
"What's our current default rate and how much are we losing to credit risk?"
Querex analyzes portfolio credit quality:
Risk concentrates in Grade D-G loans (high yield segment) with 28% default rates vs. 6-12% for investment grade (A-C)
"Which loan grades are actually profitable after accounting for defaults?"
Querex calculates risk-adjusted returns by grade:
Grade B loans offer optimal risk-return tradeoff. High-yield grades (D-G) generate negative returns due to 32% default rates exceeding interest income
"What interest rate adjustments would optimize our ROI while staying under 5% loss rate?"
Querex runs optimization scenario:
Shift from high-yield to near-prime improves returns dramatically. Model accounts for demand elasticity, underwriting capacity, and regulatory capital requirements
Portfolio analytics that would take days in spreadsheets, delivered in seconds through conversation.
See Your Portfolio Analysis