Data Infrastructure for AI & Analytics
Your AI and analytics initiatives are only as good as your data foundation. We build modern data platforms (pipelines, warehouses, and lakehouses) designed for the demands of ML workloads and real-time analytics.
Our Approach
Modern Data Stack, Production Quality
AI-Ready Data Architecture
We design data platforms with AI workloads in mind: feature stores, vector databases, and the data quality that ML models require.
Modern Data Stack
dbt for transformations, Airflow or Dagster for orchestration, and cloud-native warehouses. We use tools that scale and that your team can maintain.
Data Quality as Code
Automated testing, data contracts, and observability. You'll know when data quality degrades before it breaks downstream systems.
Key Offerings
Data Platform Services
From raw data to AI-ready features.
Data Pipeline Development
ETL/ELT pipelines using Airflow, Dagster, Prefect, or cloud-native services. Batch and streaming architectures that scale.
Data Warehouse & Lakehouse
Snowflake, Databricks, BigQuery, or Redshift implementations. We design schemas and optimize for your query patterns.
dbt Transformations
Analytics engineering with dbt: modular SQL, version control, testing, and documentation for your transformation layer.
Feature Engineering for ML
Feature stores, embedding pipelines, and the data preparation that AI models need. We bridge the gap between data engineering and ML.
Real-Time Data Processing
Kafka, Kinesis, or Pub/Sub streaming architectures for use cases that can't wait for batch processing.
Data Quality & Observability
Great Expectations, dbt tests, Monte Carlo, or custom solutions. Catch data issues before they impact your business.
Benefits
Data You Can Trust
AI-Ready Foundation
Data infrastructure designed for ML workloads, not retrofitted after the fact.
Faster Insights
Reliable pipelines and optimized warehouses mean analysts and data scientists spend time on analysis, not data wrangling.
Data Quality Confidence
Automated testing and monitoring catch issues early. No more "the numbers look wrong" fire drills.
Scalable Architecture
Platforms that grow with your data volumes and complexity without requiring rewrites.
Ready to Build Your Data Foundation?
Let's discuss your data challenges - whether you're building from scratch or modernizing existing infrastructure.