Five practice areas. One integrated team.
Cloud migration & architecture
Lift-and-shift, re-platform, or greenfield builds on AWS, Azure, or GCP — with a target architecture that survives the next decade.
Automated ETL / ELT pipelines
Plumbing that moves data from operational systems into a central hub — observable, testable, recoverable.
Warehouse & lakehouse
A single source of truth — built for both BI workloads and machine learning, without re-platforming later.
Real-time & streaming
For when daily batch isn't fast enough — fraud detection, operational dashboards, event-driven workflows.
Interactive BI dashboards
Real-time KPI tracking with drill-down — designed around the decisions they're meant to drive, not the data they happen to contain.
Self-service BI
Governed environments where staff pull their own reports — with the right permissions, the right metrics, and a glossary that ends the "what does revenue mean" debates.
Exploratory data audits
A two-week diagnostic that surfaces hidden patterns, leakages, and quick wins — with a prioritized 90-day roadmap attached.
Executive scorecards
Board-ready reporting on the metrics that move the P&L — automated, signed-off, and explainable.
Predictive analytics
Churn prediction, lead scoring, demand forecasting — with confidence intervals attached, so business teams know when to trust them.
Custom machine learning
Credit scoring, fraud detection, dynamic pricing — production-grade models, deployed and monitored, not abandoned in a notebook.
Generative AI & NLP
Local-context chatbots, document summarizers, RAG systems built on your knowledge base — with guardrails and evaluation harnesses included.
MLOps & deployment
The plumbing that takes models from notebook to API — with monitoring, retraining triggers, and rollback baked in.
Regulatory compliance
ODPC registration, GDPR alignment, sector-specific frameworks (financial, health, public). Audited, documented, defensible.
AI accountability
Drift monitoring, bias auditing, model cards, explainability — so your AI passes regulator review and board scrutiny.
Data quality management
Tests, contracts, and SLAs that make data trustworthy by default — and route the right alerts to the right humans when it isn't.
Data catalog & lineage
Searchable inventory of every dataset and metric, with full upstream lineage — so nobody re-builds what already exists.
Fractional CDO
Part-time executive leadership for long-horizon data strategy — without the permanent headcount. Ideal for organizations between $5M and $250M.
ESG & sustainability reporting
Automated carbon footprint, social impact, and governance metrics — audit-ready for the disclosure frameworks your stakeholders demand.
Data monetization advisory
Identify ways to turn internal data into external revenue — products, APIs, partnerships, and the legal/governance scaffolding to do it safely.
Corporate upskilling
Cohort-based training in Python, SQL, statistical thinking, and AI literacy — so your team owns what we build long after we leave.
Three tiers. One direction.
Get the foundation right before you build on it.
- Exploratory data audit
- Cloud migration & architecture
- Regulatory compliance (ODPC etc.)
- Data quality & governance
Turn the foundation into a decision layer your whole org can use.
- Executive dashboards
- Automated reporting
- Self-service BI
- Metric & KPI architecture
Push from reporting into prediction — where the P&L moves.
- Predictive analytics & forecasting
- Custom ML & generative AI
- Fractional CDO leadership
- Strategy & monetization