Articles

Classification

Our proprietary algorithms achieve higher performance with significantly fewer training examples compared to models like BERT and logistic regression. This efficiency enables rapid deployment of accurate, explainable models, making advanced text classification accessible even to organizations with limited data resources.

Sparse Coding Priors

Our regression model employs hierarchical Bayesian priors to effectively distinguish signal from noise, enabling accurate identification of relevant variables even in datasets with numerous irrelevant features. This approach allows the model to perform robustly without extensive hand-tuning, outperforming traditional methods, especially in scenarios with limited data and high dimensionality.

Automatic Dashboard

Our Automatic Dashboards provide an interactive and customizable platform for exploring your datasets. By adjusting URL parameters, you can tailor the dashboard to your specific needs, enabling topic exploration via sunburst plots, comparative analysis across metadata fields, and temporal comparisons. Our dashboards let you explore your data or even prototype new products — without writing a single line of code.

We host a set of public dashboards analyzing Arxiv, Earnings Calls, Product Reviews, and Real Time News Feeds.

Technical Walkthroughs

Quickstart

Jump right into Sturdy Statistics with our quickstart notebook. In just a few minutes, you’ll learn how to unlock insights from your data and integrate Sturdy Stats into your workflow.

In-Depth Walkthrough

Building on the quickstart notebook, this in-depth guide explores advanced options, dives deeper into Sturdy Stats’ powerful features, and showcases additional examples of analysis and visualizations. This walkthrough will help you maximize the value of your unstructured data by showing how to extract actionable insights and create powerful visual representations.

Part I: Upload

Part II: Explore

White-Papers and One-Pagers

Financial Analysis One-Pager

Sturdy Statistics enables you to overcome the limitations of LLMs in financial analysis. While other methods struggle with cost, accuracy, and uncovering hidden trends, our API transforms how you interact with financial data.

Text Classification One-Pager

Unlike costly LLM-based solutions, our flat, predictable pricing model keeps your budgets under control — even as your document volume grows. With explainable classifications and savings that scale with your business, Sturdy Statistics empowers companies to turn classification from a cost center into a strategic advantage.

RAG One-Pager

Sturdy Statistics revolutionizes Retrieval-Augmented Generation (RAG) applications by delivering up to 97.5% cost reductions. By retrieving only the most relevant information, we minimize token usage, improve response quality, and overcome challenges like the “Lost in the Middle” problem.