Data Intelligence
ML pipelines, anomaly detection, demand forecasting, and real-time analytics integrated into your existing infrastructure.
Intelligence that runs on your data, in your environment
Most analytics projects stop at dashboards. We go further — building ML pipelines that actively detect anomalies, surface predictions, and trigger actions based on what the data shows, not what a human happened to notice.
The systems we build integrate with your existing data sources — databases, APIs, event streams — so intelligence lives where your operations already happen.
Anomaly detection
Statistical and ML-based detection of outliers in operational, financial, or sensor data.
Demand forecasting
Time-series models that predict inventory needs, staffing requirements, or demand patterns.
Real-time pipelines
Event-driven architectures that process and analyze data as it arrives, not in batch.
Semantic search
Vector embeddings and RAG pipelines that make unstructured data queryable and actionable.