Applied AI and ML
Models, agents and vision work that live in your systems.
Services
AI in the same team that ships.
Senior people, the tools they need, and a delivery office that already knows how companies buy this work.
AI-native engineering
The team uses current AI tools on your backlog. Not to put on a demo.
Software engineering
Product engineering across web, mobile and APIs.
Data engineering and data science
Pipelines, warehouses, models and the numbers a meeting can actually use. Detail below.
Cloud, DevOps and QA
Environments, the path to live, and the quality bar.
Digital transformation
Look at how the work runs today. Move it off paper and old process into systems the business can actually use.
Consulting
Advice that does not stop at a slide. A plan a team can run.
PMO and vendor management
The office behind vendors, contracts and delivery risk.
Dedicated technology teams
A managed team inside how you already work.
Data engineering and data science
From the source system to a number the floor can trust.
CRUX data teams sit in the same unit as product engineering. The warehouse, the model and the application share a backlog and a lead. Work we have run in media, travel, hospitality and consulting programmes is written up on the Work page.
Data engineering
The platform under the product
Ingestion and CDC from booking, billing, content, device and operational systems. Lakehouse and warehouse design. Orchestration, data contracts, quality tests and the path from a raw event to a governed table.
Data science
Models that live in the product
Demand, pricing, churn, ranking, leakage and anomaly work. Feature stores, evaluation, monitoring, and a way to turn a model off when it drifts. Not a notebook left on a laptop.
Analytics engineering
One definition of the metric
Semantic layers and metric stores so finance, growth and operations stop arguing about the same number. Dashboards that read from the warehouse the product already writes to.
Decision science
Advice that can be run
Forecasts, experiments and operating reviews built on the same store. When the engagement ends, the client keeps the pipeline, not a slide.
The AI delivery gap
A pilot is not a product.
Most companies can stand up a pilot. Few keep that work in the same team that ships the product.
Curiosity
What usually happens
A workshop. A chatbot on a side page. A model nobody can change once the consultant leaves.
Production
What we do
The model lives in your product. Your team can change it, watch it, and turn it off.