Data engineering, analytics, and forecasting infrastructure
The AI, dashboards, and forecasts on top are only as good as the data underneath. We design and build secure data pipelines, predictive models, and analytics infrastructure, reliable, compliant, and maintainable well beyond the first project.
What's included
Data pipelines that unify orders, stock, CRM, finance, and operational data in one queryable place
Forecasting and predictive models: demand, revenue, cash flow, churn, inventory, staffing
KPI tracking, live dashboards, and anomaly alerts on the metrics that actually move the business
GDPR and Swiss FADP (nFADP) compliance, lineage, monitoring, and audit trails engineered in from day one
Vector stores, embeddings, and retrieval infrastructure ready for AI and RAG workloads
Common use cases
Forecasting and predictive analytics
Demand, revenue, cash-flow, inventory, and staffing forecasts trained on your own history, so planning stops running on gut feel and spreadsheets.
Operational tracking and KPI dashboards
Live metrics, cohort analysis, and anomaly detection across sales, operations, and finance, decisions grounded in what your data is actually doing.
Compliant, AI-ready data foundation
Unified pipelines, vector stores, and audit-ready architecture with Swiss and EU residency, least-privilege access, and retention rules built in from day one.
How we deliver
Every project follows the same structured engineering process: assessment, strategy, focused MVP in 6-8 weeks, structured validation, deployment and long-term support. Founder-led, from the first call to production.