Technology
The Stack We Work In
We choose tools based on fit, not familiarity or vendor incentives. Below is the technology we work with day-to-day - from the plant floor to the lakehouse.
OT & Historian
Where operational data originates. We extract, contextualize, and move it to where it can be used.
Streaming & Orchestration
Moving data reliably from source to destination - whether in real time or on a schedule.
Processing & Transformation
Turning raw operational data into clean, structured, analytics-ready tables.
Lakehouse & Storage
The platform layer where data lands, is governed, and is made available for analysis.
Formats
Open, interoperable formats that avoid lock-in and work across the entire stack.
Governance & Quality
Knowing what data you have, who can access it, and whether it can be trusted.
Observability
Pipeline health, model performance, and infrastructure metrics that are visible before they become operational problems.
Machine Learning & Analytics
Statistical analysis, predictive analytics, and production machine-learning systems built around a defined decision or operational response.
Languages
The primary languages we write production code in.
Infrastructure
Reproducible, version-controlled infrastructure that doesn't become a maintenance burden.
Cloud
We work across all three major clouds. Platform decisions are driven by your requirements, not our preferences.