Cloud and data infrastructure
AI and software are only as dependable as what they run on. We set up cloud hosting, automated deployments, backups and monitoring, and we build the data pipelines and dashboards that put your numbers in one place.
What you get
- Cloud setup on AWS, Azure or Google Cloud
- Automated build and deployment pipelines
- Containers with Docker, and orchestration where it's warranted
- Monitoring, alerting and backups
- Data pipelines and warehouses
- Business dashboards your team will actually open
A good fit if
- Deployments are manual and nerve-wracking
- You find out about outages from your customers
- Your numbers live in five different spreadsheets
Tools we use
AWS, Azure and Google Cloud · Docker and GitHub Actions · Infrastructure as code · BI and dashboard tools
Questions we hear
We already have hosting. Can you just fix the pipeline?
Yes. Most of this work is improving what's already there: automating a deployment, adding monitoring, or tidying up costs.
Other practices
- Forward-deployed AI engineeringAn engineer joins your team, finds where AI pays off, and ships it in your stack.
- AI agents and automationAgents and workflows that take repetitive work off your team: inboxes, documents, support and reporting.
- AI strategy and readinessA clear look at where AI fits in your business, what it will cost to run, and what to build first.
What would your team stop doing if it could?
Tell us where the hours go. We'll tell you straight whether AI, better software or better marketing is the fix, and what it would take.