Service / AI & ML
AI and Machine Learning
We build machine learning and AI on the data foundation we've already made reliable — from forecasting models to an AI insight layer over existing dashboards.
Common challenges we solve
- — Trends and anomalies buried in dashboards nobody has time to read closely
- — Analysts spending hours writing commentary by hand
- — No consistent way to share insight across teams
Our approach
- 01Start from a well-modeled dataset, not raw exports
- 02Choose the simplest model that solves the business problem
- 03Put monitoring around any model that ships to production
Capabilities
- Predictive scoring and forecasting models
- Anomaly detection and NLP/classification
- ML pipelines and MLOps monitoring
- AI-generated insight layers on top of existing BI (AutoInsights)
- Generative and agentic AI proofs of concept
Deliverables
- — Trained, monitored models in production
- — Documented model assumptions and limitations
- — Insight layer or scoring output wired into existing dashboards
Related case studies
Let's talk about what your data should be doing for you
Tell us where you are today and where you're trying to get to. We'll respond with a clear, honest read on the path forward.