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Data & AI
From raw events to actionable intelligence
We build the data pipelines, warehouses, and ML systems that turn your telemetry into a competitive advantage. Whether you need real-time analytics or a production ML model, we handle the full stack.
What it is
Real-time data pipelines
Event-driven architectures with Kafka and Flink that process millions of events per second with sub-100ms latency.
ML model development
End-to-end model development — from feature engineering to production deployment with A/B testing and drift monitoring.
LLM integration & RAG
Retrieval-augmented generation systems that give language models accurate, up-to-date knowledge of your domain.
Data warehouse design
Snowflake, BigQuery, and dbt implementations that make your analysts self-sufficient and your dashboards fast.
Who it's for
Data teams drowning in pipeline incidents, and product teams whose AI features are held back by poor data quality or latency.
Our approach
Data landscape assessment
We map your current data flows, identify bottlenecks, and assess the quality and freshness characteristics of your key datasets.
Architecture design
We design a data architecture matched to your latency, cost, and team-size constraints — streaming, batch, or hybrid.
Pipeline engineering
Event-driven pipelines with Kafka and Flink, dbt-based transformations, and CDC replication from operational databases.
ML deployment
Model training infrastructure, A/B test routing, and drift monitoring — models that stay accurate after you stop paying attention.
Tech we use
Backend
Database
AI & ML
Sample deliverables
Related work
FAQ
Explore data solutions
Tell us about your project and we'll have a proposal ready within 48 hours.