Through direct engagements and partner-led initiatives, we deliver into industries that depend on data to operate at scale.
Modernizing data platforms that power venue operations, ticketing, fan engagement, and hospitality analytics. Our team supports initiatives at organizations like Legends Global — turning raw operational data into real-time business insight.
Common workloads: venue operations dashboards, fan and customer 360, food & beverage forecasting, ticketing analytics, event-level reporting.
We extend the delivery capacity of consulting firms — most notably Lovelytics — on Databricks, Snowflake, and modernization engagements across their client portfolio. Our engineers integrate seamlessly into partner-led delivery teams.
Common workloads: lakehouse builds, data migrations, ML productionization, CI/CD enablement, accelerator deployment.
Data platforms supporting merchandising, supply chain, and customer analytics — built to handle the scale and seasonality of modern retail operations.
Common workloads: demand forecasting, inventory analytics, customer segmentation, price and promotion analytics.
Engineered for the rigor financial services demands — auditability, lineage, and access controls baked into every layer of the platform.
Common workloads: risk and compliance reporting, customer analytics, fraud detection ML, regulatory data products.
Connecting operational and IT data so manufacturers can move from reactive reporting to predictive operations.
Common workloads: OT/IT data integration, predictive maintenance, quality analytics, production performance dashboards.
Industry-agnostic platform builds and migrations for organizations replacing legacy warehouses, breaking down silos, and standardizing on a modern data stack.
Common workloads: Hadoop and legacy migrations, data mesh enablement, governance program design, platform consolidation.
Our work is platform-driven — the patterns transfer. Tell us your context and we'll show you what's worked for similar teams.
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