spinData
Understand your dataflows Unlock your potential
RIGHT FOR YOU IF:
Your data is fragmented across systems and teams
Your AI initiatives lack clean, structured inputs
Your teams make decisions on incomplete or stale information
You want real-time visibility into KPIs like ROI, OEE, and EBITDA
WHAT IS spinData
Data is vast, complex, and underutilized
Most organizations are not short on data. They are short on usable data. Siloed systems, inconsistent formats, manual exports, and disconnected tools mean that the data exists — but the insight does not.
spinTwo starts with a full audit of where your data lives and how it moves. We standardize it, connect it, and structure it so your teams and your AI models can actually use it.
DATA SOURCES WE CONNECT
ERP systems
Core business software managing operations, finance, and supply chain.
EAM platforms
Systems tracking physical assets, maintenance, and equipment performance.
SCADA systems
Industrial control systems collecting real-time data from equipment and field processes.
IoT sensors
Physical devices continuously generating operational data from equipment and environments.
Spreadsheets
Unstructured but critical organizational data that rarely makes it into formal systems.
Research databases
Structured repositories of scientific, clinical, or experimental data.
HPC outputs
Results, logs, and datasets generated by computing jobs and simulations.
Custom data pipelines
In-house data flows moving or transforming data between systems.
Core business software managing operations, finance, and supply chain.
Systems tracking physical assets, maintenance, and equipment performance.
Industrial control systems collecting real-time data from equipment and field processes.
Physical devices continuously generating operational data from equipment and environments.
Unstructured but critical organizational data that rarely makes it into formal systems.
Structured repositories of scientific, clinical, or experimental data.
Results, logs, and datasets generated by computing jobs and simulations.
In-house data flows moving or transforming data between systems.
WHAT WE DELIVER
Five pillars of the spinData engagement
Unified and Standardized Dataflows
We connect ERP, EAM, SCADA, sensors, and spreadsheets into a single, consistent pipeline — standardized, normalized, and semantically aligned across all sources.
AI-Ready Datasets
Curated, high-integrity data prepared for RAGs, LLMs, ML models, predictive maintenance, inventory forecasting, and more — structured to your specific AI initiatives.
Decision-Grade Visibility
Real-time dashboards aligned to strategic KPIs — ROI, OEE, EBITDA — giving your teams faster, clearer visibility into what is actually happening in your environment.
Scientific Methods and Expert Support
Statistical rigor, domain models, and a senior team guiding you from audit to continuous improvement — the same scientific methodology behind our HPC work.
Synthetic Data Generation
Great AI starts with great data, but real-world data is often scarce, sensitive, or expensive to collect. spinData generates high-quality synthetic datasets on demand that behave like real data, giving your models broader coverage and faster iteration without the privacy risks or collection costs. Smarter models, built sooner.