DATA & CLOUD INFRASTRUCTURE
Your infrastructure was built for the product you had. Not the workloads you're running now.
We build data pipelines, cloud architecture, and delivery infrastructure designed for high-traffic products, ML workloads, and systems that can't afford to go down.
Talk to our team
Where are you right now?
If you're here
Start with
You'll get
Your pipelines break silently and you find out when a business decision was made on bad data
Pipeline audit + reliability assessment
A clear map of where data breaks down and a plan to make pipelines you can trust
Your deploys are slow, manual, or require more than one person to coordinate
CI/CD + deployment architecture review
A deployment process that's fast, repeatable, and safe enough for one engineer to run alone
You're adding ML to your product but your infrastructure wasn't designed to run model workloads
ML infrastructure design + build
Cloud architecture that handles training, inference, and retraining without destabilizing everything else
You're scaling fast and your current cloud setup is becoming expensive, fragile, or both
Cloud architecture review
A setup that scales with you — without the bill that comes from infrastructure that was never designed to grow
Is this the right moment?
Your team dreads deploys — not because the feature is wrong, but because the process is fragile.
You have data pipelines that work most of the time, and nobody is confident about the times they don't.
You're running ML workloads on infrastructure that was designed for a web application.
A single engineer leaving would leave a significant gap in how your infrastructure is understood or operated.
You're growing fast enough that your current cloud costs are becoming a conversation at the leadership level.
You want to move faster but your current setup means every change carries more risk than it should.
If you answered yes to any of these — let's talk.
How we work
Infrastructure problems are invisible until they're not. A pipeline that breaks silently. A deploy that takes three people and a prayer. A cloud bill that doubled without anyone understanding why. We've seen all of it — and we've built the systems that replace it. The difference between infrastructure that holds and infrastructure that doesn't isn't the technology. It's whether it was designed for what it actually needs to carry.
01
Diagnose what you have
We start by understanding your current setup — what's working, what's fragile, and what's going to break under the next growth moment.
02
Design for what's coming
We design infrastructure around your actual workloads — ML inference, data volume, traffic patterns, and the team that will operate it after we're done.
03
Build and stabilize
We build or rebuild the infrastructure — pipelines, CI/CD, cloud architecture, monitoring — and stabilize what exists while we do it. No extended freezes.
04
Stay or hand over
We can operate and evolve the infrastructure long-term, or hand it to your team with full documentation, runbooks, and the context to keep it healthy without us.
Selected work
DRAG
