Deployment pipelines
Containerized services with repeatable, reviewable releases instead of manual pushes.
Cloud & Infrastructure
The unglamorous part that decides whether AI survives contact with reality
A model that works on a laptop and a model that serves thousands of requests a day are two different engineering problems. We handle the second one.
We deploy on the cloud you already pay for, set up monitoring so you find out about issues before your users do, and keep a close eye on cost — AI workloads get expensive quietly.
What this actually looks like
Monitoring and alerting
Dashboards for uptime, latency, error rates, and spend, with alerts routed to the right people.
Scaling that matches demand
Capacity that grows with traffic and shrinks when it's quiet, so you're not paying for idle.
Security and access controls
Least-privilege access, encrypted data in transit and at rest, and an audit trail.
How we work
01
Review what's running
We look at the current setup, the bills, and the incidents to find what's actually hurting.
02
Plan the move
A written plan with timelines and rollback steps — no surprise migrations.
03
Migrate in stages
We move service by service so there's never a single risky cutover night.
04
Hand over the keys
Runbooks, dashboards, and a walkthrough so your team can operate it without us.
Where this fits best
Thinking about cloud & infrastructure?
A short call, no slide deck. Tell us what's slowing your team down and we'll tell you honestly whether we can help.