LLMs generate words. Our Large Numerical Models generate numbers. Our Large Language Numerical Models generate results — 95–99% precision on business-critical predictions, with no hallucinations and no GPU cluster required.
AI isn't a future advantage — it's a present differentiator. Companies that delay adoption watch competitors pull ahead with sharper customer insight, lower operating cost, and faster decisions. Once those advantages compound, catching up gets exponentially harder.
Sriya.AI is a deep-tech AI company built around Large & Small Language-Numerical Models (LLNMs / SLNMs) — engineered for accuracy and improvement in data-driven industries like finance, supply chain, industrials, and healthcare. Our proprietary SXI++ engine pushes past where general-purpose AI falls short.
LNMs are to structured numerical data what LLMs are to unstructured text — highly accurate, non-hallucinating, and light enough to run on CPUs instead of GPU or TPU clusters. LLNMs pair front- and back-end LLM agents with LNMs to turn decision trees into measurable business outcomes.
Highly curated LLNMs unlock 20–200% improvement in business outcomes from data your ERP is already generating — including for SMEs with small but valuable datasets. Why should scale be a prerequisite for AI value?
Language models are built to sound right. Numerical models are built to be right. Here's the honest breakdown of where each one belongs.
| Dimension | Generic LLM | Sriya.AI LNM |
|---|---|---|
| Built for | Language — process & generate text | Numbers — structured, business-critical data |
| Scale of use | Personal — enhances individual creativity | Enterprise — runs core operating decisions |
| ROI | Uncertain — qualitative, hard to quantify | Predictable — quantified improvement in outcomes |
| Failure mode | Probability — can hallucinate with confidence | Certainty — precision-indexed, does not hallucinate |
| Fit | General-purpose | Industry-specific — tuned to your process data |
| Compute | Costly — requires GPUs | Efficient — runs on standard CPUs |
Sriya.AI's proprietary precision-learning indexing algorithms deliver 20–40% accuracy improvement with 100% precision over standard machine learning approaches.
Independent case-study benchmarks across industries, comparing ChatGPT (GPT-4o) against tuned XGBoost / Random Forest models.
Benchmark the use-case worthiness of your data with an AI Score, then uncover hidden value across generation, prediction, and improvement.
As a medical advisor for Sriya.ai, I am continually impressed by its potential to transform patient care. Sriya.ai precisely predicts which patients are at the highest risk of hospital readmission within 30 days and identifies the specific vulnerabilities contributing to that risk — empowering healthcare providers to implement proactive, targeted interventions.