Services
Every layer of your data stack, designed to work together.
Five disciplines, one team. Engage us end to end or start with a single layer — every piece we build is designed with the rest of your stack in mind.
Website & digital presence
Your website is the front door to your business — and the first source of data about your customers. We build it to do both jobs well.
We design and build fast, accessible marketing sites and web applications, and we instrument them properly from the start: clean event tracking, consent handling and analytics that flow straight into your data platform instead of living in a silo.
A site that loads fast, ranks well and produces data you can trust.
- Marketing websites and landing pages
- Web applications, customer portals and internal tools
- Content management your team can actually use
- Technical SEO, performance and Core Web Vitals
- Accessibility to WCAG 2.2 AA
- Event tracking and consent management designed alongside your data model
- Next.js
- React
- Astro
- Headless CMS
- WordPress
- Vercel
- Netlify
Data engineering
Reliable pipelines that bring data from every system you run into one clean, well-modeled source of truth.
We connect your SaaS tools, databases, files and APIs; land the data in a modern warehouse or lakehouse; and transform it into tested, documented models that analytics and machine learning can build on with confidence.
Fresh, trustworthy data in one place, on a schedule you can rely on.
- Ingestion from SaaS apps, databases, APIs and files
- Batch and real-time streaming pipelines
- Warehouse or lakehouse design and setup
- Version-controlled transformation and data modeling
- Automated data quality tests, documentation and lineage
- Orchestration, scheduling and failure alerting
- Snowflake
- BigQuery
- Databricks
- PostgreSQL
- dbt
- Airflow
- Fivetran
- Airbyte
- Kafka
Analytics & reporting
Dashboards and metrics your whole organization trusts — because they're defined once and calculated the same way everywhere.
We work with your teams to define the metrics that matter, build a semantic layer so "revenue" means one thing, and deliver dashboards and self-serve tools that people actually use to make decisions.
Fewer spreadsheet debates. Faster, better-informed decisions.
- KPI frameworks and agreed metric definitions
- A semantic layer so every tool reports the same numbers
- Executive, operational and team dashboards
- Self-serve analytics and ad-hoc exploration
- Embedded analytics for your own customers
- Training and enablement for your team
- Power BI
- Looker
- Tableau
- Metabase
- Looker Studio
- dbt Semantic Layer
Machine learning & AI
Practical machine learning and AI that moves beyond the pilot and into daily operations.
We start with the business decision, not the algorithm. Then we build models on your governed data, deploy them into the tools your teams already use, and monitor them so they stay accurate as conditions change.
Models in production, measured against business results.
- Use-case discovery and ROI-based prioritization
- Forecasting for demand, revenue and inventory
- Churn, propensity and lead scoring
- Recommendations and personalization
- LLM applications: document processing, search and assistants grounded in your data
- MLOps: deployment, monitoring and retraining
- Python
- scikit-learn
- PyTorch
- MLflow
- SageMaker
- Vertex AI
- LLM APIs
- Vector databases
Cloud, integrations & reliability
The foundation underneath everything: secure cloud infrastructure, connected systems and the monitoring that keeps it all running.
We set up cloud environments with infrastructure as code, connect your CRM, ERP, payments and operational tools, and put monitoring, alerting and support in place so problems are caught before your customers notice.
A stack that stays up, stays secure and doesn't surprise you on the invoice.
- Cloud architecture on AWS, Azure or Google Cloud
- Infrastructure as code and CI/CD pipelines
- System integrations: CRM, ERP, payments and marketing tools
- Identity, access control and security hardening
- Monitoring, alerting and incident response
- Cost optimization and ongoing managed support
- AWS
- Azure
- Google Cloud
- Terraform
- GitHub Actions
- Docker
- Grafana
- Datadog
Better together
What changes when one team builds it all.
Each layer is valuable on its own. Built together, they reinforce each other.
Tracking that matches reporting
Website events are designed alongside the warehouse model, so marketing numbers and finance numbers finally agree.
AI on data you already trust
Models train on the same tested, governed data as your dashboards — not a separate, shadow pipeline nobody maintains.
One view of system health
Site, pipelines, dashboards and models are monitored together, so issues are traced to their root cause fast.
Start with one layer, or all five.
Tell us what you're working with today. We'll recommend where to start for the biggest impact — and how it fits into the bigger picture.