LLM App Deployment Services
LLM App Deployment Services
Deploy LLM-powered applications with a real release process, model serving, autoscaling, and monitoring. Delivered by our in-house team.
When LLM app deployment needs real DevOps discipline
- Deploying model or prompt changes is manual and ad hoc.
- Inference cost and latency aren't well understood.
- There's no autoscaling, so capacity is over- or under-provisioned.
- Monitoring covers the app but not model-specific behaviour.
LLM-powered features still need a real release process, we bring the same discipline we apply to any production system.
What we do
Deployment pipeline
A real release process for LLM-powered applications, not manual deployment.
Model serving infrastructure
Infrastructure to serve models reliably, sized to your actual traffic.
Learn more →Autoscaling
Scale inference capacity with demand instead of over-provisioning.
Monitoring
Visibility into latency, cost, and usage, not just application uptime.
Ways to work with us
Not sure which fits? Tell us the problem on a free call and we'll recommend one.
Fixed-scope project
A defined setup with a clear deliverable and timeline.
Managed support (retainer)
We keep your infrastructure healthy month to month.
Hourly / as-needed
Short, specific tasks without a long commitment.
Dedicated engineer
An engineer from our team focused on your account.
White-label for agencies
We deliver DevOps under your brand for your clients.
What you actually receive
- LLM app deployment pipeline
- Model serving infrastructure
- Autoscaling configuration
- Monitoring for latency & cost
- Documentation
Exactly which of these you get depends on the engagement, we scope it on the call.
What changes for your business
- A repeatable deployment process for LLM-powered features
- Infrastructure that scales with demand
- Better visibility into inference cost and latency
- The same DevOps discipline applied to AI workloads as the rest of your stack
What clients say
Case studies coming soon.
Real client testimonial goes here once we have permission to publish it.
Name, role, Company
Real client testimonial goes here once we have permission to publish it.
Name, role, Company
Real client testimonial goes here once we have permission to publish it.
Name, role, Company
Questions about LLM app deployment
This is an emerging area of our work, the underlying DevOps practices (CI/CD, infrastructure as code, monitoring, cost control) are the same disciplines we apply elsewhere, adapted to LLM workloads.
Specific AI/LLM project history and credentials are confirmed on request, we don't claim case studies that aren't real.
We work with whatever your application already uses, hosted APIs or self-hosted models, rather than pushing a specific vendor.
Yes, right-sizing and cost visibility for inference infrastructure is part of this engagement.
Yes. We sign an NDA before any work starts, and you own everything we build for you.