Services

Four chambers of expertise. Each one designed to bring clarity to a different corner of your data landscape.

Brownfield

Modernizing what already exists. Migrating legacy pipelines, refactoring tangled data models, upgrading on-prem systems to the cloud, introducing agentic capabilities into existing workflows, and untangling years of technical debt -- without disrupting what is already running.

Greenfield

Building from the ground up. Designing new data platforms, standing up first-time warehouses, and creating multi-agent pipeline architectures with persistent memory, scheduled autonomous execution, and human oversight built in from day one.

Data Pipeline Design

Forging reliable paths through the data wilderness

Your data arrives from dozens of sources in dozens of formats, and somewhere between ingestion and insight, things break. We design and build data pipelines that bring order to that chaos.

Capabilities

  • Python and RDBMS-based ETL orchestration (cloud or on-prem)
  • Real-time and batch pipeline architectures
  • Data quality validation and monitoring
  • Cloud platform integration (Azure, AWS, GCP)
  • Brownfield modernization of legacy pipelines and Greenfield builds from scratch

ETL & Data Warehouse Architecture

Building the vaults where data lives

A data warehouse is only as useful as the questions it can answer. We design warehouse architectures that are queryable, trustworthy, and built to evolve with your needs.

Capabilities

  • Data modeling (dimensional, Data Vault, 3NF)
  • Slowly changing dimensions (SCD Types 1-3)
  • Incremental load patterns and change data capture
  • Performance tuning and query optimization
  • Data governance and lineage tracking

AI-Augmented Analytics

The torch that lights the way

AI doesn't replace your analysts -- it gives them superpowers. We integrate LLMs into your existing analytics workflows for smarter analysis, automated validation, and natural language access to your data.

Capabilities

  • LLM-powered data analysis and summarization
  • Automated anomaly detection and alerting
  • Natural language interfaces for data querying (MCP servers, chatbots)
  • Predictive modeling and forecasting
  • AI-powered data quality validation

Agentic AI Workflow Design

Building AI systems that act, not just analyze

Most AI implementations stop at chatbots and copilots. We go further -- designing autonomous AI workflows where specialized agents execute multi-step processes on a schedule, with human review gates at every decision point. These aren't demos. They're production systems that run daily.

Capabilities

  • LangGraph and graph-based AI pipeline orchestration
  • Multi-agent system design (specialized roles, scheduled execution)
  • MCP server development for conversational data access
  • Persistent memory architecture for cross-session AI context
  • Maker-checker validation patterns (deterministic code + LLM verification)
  • Human-in-the-loop review gates and approval workflows