Proprietary Non-Linear Compositional AI Platform

High-Performance Applied AI & Vector Data Engines

STS DATA GROUP LABS LLC (d/b/a STS DATA LABS) delivers proprietary 21-dimensional manifold vectorization, non-Euclidean UMAP geometry, and non-imaging DICOM tag optimization algorithms across Consumer Botanical AI and Healthcare PACS Radiology.

Explore Botanical AI Lead Vertical Run 1-Click Ingestion Demo Open 3D Visualizer
0.9420
Hybrid Manifold Silhouette Score
+280%
Accuracy Lift vs K-Means Euclidean
97.54%
Topological Trustworthiness Score

Two Focused Applied Data Science Engines

Proprietary algorithmic platforms built on non-Euclidean metric tensor geometry and lightweight non-imaging DICOM metadata pipelines.

Lead Commercial Vertical
Botanical AI & TerpeneIQ Engine
21D CLR vector transformations, TerpeneIQ consumer discovery app, and white-label STSManifoldSDK for MSOs.
  • UMAP non-linear vector index
  • Tier 2 $1,499/mo MSO SDK Integration
  • Tier 3 $299/mo Dispensary Menu API
Explore Botanical AI Engine
Enterprise HealthTech Vertical
Healthcare PACS Radiology Microservice
Radiologist Productivity & Revenue Optimization Engine using non-imaging PACS DICOM tag metadata.
  • Probabilistic Optimal Boundary Solver
  • Maximizes RVU yield under SLA bounds
  • Emergency STAT Queue Balancing
Explore Healthcare PACS Engine

Academic Research & Theoretical Foundations

Grounding our algorithms in rigorous mathematics, Riemannian manifold geometry, and compositional log-ratio statistics.

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
McInnes, L., Healy, J., & Melville, J. (2018)
Formulates Riemannian manifold dimension reduction based on fuzzy simplicial set theory, preserving non-linear topological structures in high-dimensional feature spaces.
View arXiv Publication
The Statistical Analysis of Compositional Data
Aitchison, J. (1986). Monographs on Statistics and Applied Probability
Establishes Centered Log-Ratio (CLR) and Isometric Log-Ratio (ILR) transformations to resolve constant-sum simplex constraint distortions in chemical ratio datasets.
View Springer Monograph

Schedule a Client Consultation

Request a 90-day risk-free Radiology PACS audit simulation or a 30-day Enterprise Manifold e-commerce pilot.