Data Analysis
Data engineering, analytics, and data science. We turn raw data into pipelines, dashboards, and models that drive decisions across your organization.
Everything included in Data Analysis
A focused set of capabilities designed to move your business forward.
Data Engineering
ETL/ELT pipelines, data warehouses, and lakehouse architecture.
Business Intelligence
Dashboards and self-serve analytics in Looker, Tableau, or Power BI.
Data Science
Statistical analysis, segmentation, and predictive modeling.
Data Strategy
Data governance, quality, and organizational enablement.
Real-Time Analytics
Streaming pipelines with Kafka, Flink, and ClickHouse.
Data Visualization
Interactive visualizations that make complex data understandable.
How we deliver
A clear, repeatable framework that keeps every project on track.
Assess
Data sources, quality, and business goals review.
Architect
Pipeline, warehouse, and dashboard design.
Build
Pipeline development, modeling, and visualization.
Enable
Training, documentation, and self-serve handoff.
The tools we use
We work with best-in-class platforms and technologies.
Flexible packages
Choose a package that fits where you are today.
Dashboard
$5,000+
One-time dashboard build.
- Data source setup
- 1 dashboard
- 5 key metrics
- Documentation
Pipeline
$18,000+
Full data pipeline.
- ETL pipeline
- Data warehouse
- 3 dashboards
- 30 days support
Program
Custom
Ongoing data team.
- Multiple pipelines
- Data science models
- Self-serve platform
- Dedicated analyst
Case studies
Real results from projects like this one.
AI ModelsVeridian AI
A Custom RAG System Grounded in 100k Documents
We built a retrieval-augmented generation pipeline that lets Veridian query its entire document corpus with citations, deployed on their own infrastructure for data privacy.
- 94%
- Query Accuracy
- <2s
- Response Time
- 100k+
- Documents Indexed
Software DevelopmentMeridian Logistics
Replacing Six Spreadsheets with One Internal Tool
A custom operations dashboard that consolidated six manual workflows into one automated system, saving the operations team 20 hours per week.
- 20
- Hours Saved / Week
- -88%
- Error Rate
- -60%
- Onboarding Time