Revolutionize Text Classification with Sturdy Statistics

Scaling text classification applications with LLMs presents a significant challenge for companies of any size. With few-shot learning, costs increase linearly with the number of documents (D), document length (L), number of labels (Q), and few-shot examples (N): Cost ∝ D ✕ L ✕ Q ✕ N This means even maintaining a fixed product offering results in costs growing linearly with usage: in other words, there is no inherent advantage to scale. Worse still, if you enhance your product by adding more labels or improve prediction quality by increasing the number of few-shot examples, your costs grow super-linearly with scale.

Don’t let your margins shrink as your business grows!

Sturdy Statistics, on the other hand, can offer text classification at a fixed cost. To learn more about Sturdy Statistics’ revolutionary approach to classification, visit our detailed product description.

Why Choose Sturdy Statistics?

Fixed Cost = Predictable Budgets

Unlike LLM-based solutions where costs depend on token usage, Sturdy Statistics offers a flat, predictable pricing model. This means

• No per-token charges
• Scalability without sacrificing margins

Savings That Scale with Growth

In this worked example, classifying 5,000 documents per day with few-shot LLMs could cost $850/day or $25,500/month. In contrast, Sturdy Statistics delivers the same functionality at a flat, predictable price. As your document volume grows, so do your savings.

Better Margins for Growing Companies

With LLM costs tied directly to usage, achieving profitability becomes harder as you scale. Sturdy Statistics empowers you to grow profitably, transforming classification from a cost center into a strategic advantage.

Transparent and Explainable Results

Unlike black-box LLMs, Sturdy Statistics provides fully explainable classifications. By leveraging interpretable statistical models, every decision is backed by clear, logical reasoning. This transparency

• Builds trust with stakeholders
• Simplifies compliance with industry regulations requiring explainability
• Ensures fairness and accountability in your applications.