Unified Multi-Tenant GCP Data Platform ($350k AI Target)

Quantitative Data Science & Machine Learning Engine

STS DATA GROUP LABS LLC (d/b/a STS DATA LABS) delivers proprietary non-linear manifold classification and probabilistic optimization algorithms across Healthcare Radiology, Enterprise Consumer AI, and Quantitative Financial Markets.

Explore Botanical AI Vertical Run 1-Click Ingestion Demo Open 3D Visualizer
0.9221
Hybrid Manifold Silhouette Score
+280%
Accuracy Lift vs K-Means Euclidean
97.54%
Topological Trustworthiness Score

Three Core Data Science Verticals

Proprietary algorithmic platforms built on lightweight non-imaging pipelines and Riemannian manifold geometry.

Botanical AI Vertical
Phytocannabinoid Vector 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
Go to Botanical AI Page
Healthcare 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
Go to Healthcare PACS Page
Finance Vertical
Quantitative Finance Engine
High-frequency hierarchical momentum algorithms, systematic risk decomposition, and non-Euclidean portfolio geometry.
  • Hierarchical Risk Parity Geometry
  • Options Expected Move Skew Engine
  • Active MES/MNQ Intraday Level Scalping
Go to Finance Page

Academic Research & Theoretical Foundations

Grounding our algorithms in peer-reviewed 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.