Numerical AI works on structured numerical data.
Technology
Numerical intelligence from data to decision.
Sriya.AI technology is organized in four connected steps: Numerical AI defines the category, Large Numerical Models make predictions, Large Language Numerical Models make them usable in workflows, and the LLM vs LNM comparison explains the difference.
Start with structured data
Business systems already produce numerical signals: sales records, ERP transactions, shipment history, financial events, and clinical operations data. Sriya.AI's technology is designed to turn those records into measurable predictions and optimization decisions rather than fluent but uncertain text.
LNMs predict and optimize business outcomes.
LLNMs connect language agents to numerical engines.
LLM vs LNM clarifies the right tool for the job.
01 / Numerical AI
Numerical AI
Numerical AI is the category for systems built around structured numerical data. It supports prediction, such as conversion likelihood or readmission risk, and optimization, such as reorder quantity, pricing, or resource allocation.
Explore Numerical AI →02 / Large Numerical Models
Large Numerical Models
An LNM is a numerical engine precision-indexed against ERP, transaction, sensor, or process data. It is intended for accurate, non-hallucinating business predictions and is designed to run on standard CPUs.
Explore Large Numerical Models →03 / Large Language Numerical Models
Large Language Numerical Models
An LLNM pairs front-end and back-end language agents with an LNM. The agents gather inputs, walk a decision workflow, and present results while the numerical model remains responsible for the prediction or optimization.
Explore Large Language Numerical Models →04 / LLM vs LNM
Use the right model for the job.
| Dimension | LLM | LNM |
|---|---|---|
| Built for | Language and text | Structured numerical data |
| Output | Generated language | Prediction or optimization |
| Primary risk | Confidently wrong text | Requires data-specific validation |
| Compute | Often GPU-heavy | Designed for CPU inference |
An LLNM combines the interaction layer of an LLM with the numerical decision engine of an LNM.