Work is structured around six service lines. Most engagements combine two or three; each can be commissioned independently.
An assessment of your current data infrastructure, followed by a phased plan for the warehouse, pipelines, and governance that fit your scale and ambitions.
Custom dashboards, KPI frameworks, and analytical models built in Power BI, Python, or whatever tooling already lives in your stack.
Linear and mixed-integer programming for scheduling, blending, and allocation. Dynamic simulation for process behavior and safety analysis.
Practical applications of LLMs and machine learning, embedded into existing workflows — document processing, decision support, and customer-facing intelligence.
Sourcing, licensing, and curating external datasets that enrich your internal data — market, demographic, geospatial, and regulatory feeds.
Not yet ready to staff an analytics function in-house? We operate as one — staffed, managed, and accountable to defined outcomes on a retainer basis.
A focused diagnostic to define the decision being made, the data available, and the constraints under which the work must succeed.
Models, pipelines, and analytical systems are built — version controlled, documented, and validated against agreed criteria.
Deliverables are handed off with the code, documentation, and training your team needs to operate independently.
If the work isn't well suited to us, we'll say so — and tell you who might be a better fit.
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