Transparent pricing
You focus on the model.
Leave the ops work on us.
All work happens inside your environment — your cloud, your stack. Your team owns everything when we’re done.
QuickShip
$599
one-time
One model, deployed clean. For teams that need to ship something fast without cutting corners.
What’s included
Single model deployment (AWS / GCP / Azure)
FastAPI or SageMaker endpoint
Containerised with Docker + versioned artifact
Health check, logging, basic monitoring
Handover doc + 1 walkthrough call
Delivered in 5–7 business days
Book a free call
Best for early-stage teams validating in prod
Most popular
MLOps Retainer
$1,799
/ month
Ongoing MLOps partnership. We build, monitor, and iterate alongside your team every month.
Everything in QuickShip, plus
Training + retraining pipeline design and build
Model monitoring + data drift detection
CI/CD integration for model promotion
Up to 3 models / month
Weekly sync call + dedicated Slack channel
3-month minimum engagement
Book a free call
Best for Series A/B teams shipping models regularly
Enterprise
Let’s talk
Full MLOps capability build for complex stacks, compliance needs, or multiple teams.
Everything in Retainer, plus
Multi-model, multi-team pipeline architecture
LLMOps + RAG pipeline infrastructure
Compliance-aware deployments
Team training + internal documentation
SLA-backed response times
Embedded or on-site engagement options
Book a free call
Best for scale-ups and enterprise AI teams
All engagements start with a free 30-minute discovery call
No pitch. No pressure. Just a conversation about where you are and what you actually need. If we’re not the right fit, we’ll tell you.
Side by side
ShipML vs your other options
| ShipML | Full-time hire | Generic agency | DIY | |
|---|---|---|---|---|
| Cost & commitment | ||||
| Fraction of full-time cost | ✓ | — | ✓ | ✓ |
| No long-term commitment needed | ✓ | — | — | ✓ |
| Available immediately | ✓ | — | Maybe | ✓ |
| Technical quality | ||||
| Senior engineer does the work | ✓ | ✓ | — | Depends |
| Works inside your existing stack | ✓ | Maybe | — | ✓ |
| Enterprise guardrails respected | ✓ | ✓ | — | Depends |
| No vendor lock-in | ✓ | ✓ | — | ✓ |
| Handover & ownership | ||||
| Your team owns it completely | ✓ | ✓ | — | ✓ |
| Full documentation + runbooks | ✓ | Sometimes | Sometimes | — |
| Team walkthrough included | ✓ | ✓ | — | — |
Common questions
Things people usually ask
Do you work with any cloud provider?
Yes — AWS SageMaker, GCP Vertex AI, and Azure ML. We work in whichever cloud your team already uses. No migration required.
What does “your team owns it” mean?
We build inside your environment, document everything we do, and walk your engineers through it. When we’re done, there’s no ongoing dependency on us to keep it running.
Can you work with our existing tools?
Yes. MLflow, W&B, GitHub Actions, Terraform, Kubernetes — we adapt to your stack, not the other way around. We only introduce new tools when there’s a clear gap.
Is there a long-term contract?
QuickShip is one-time, no contract. The Retainer is a 3-month minimum to allow enough time to build something meaningful. Enterprise terms are agreed upfront.
We have compliance requirements. Can you handle that?
Yes. We’ve worked with teams that have strict data residency, audit logging, and access control requirements. This is scoped in the discovery call.
What if we just need advice, not implementation?
We offer architecture reviews as a standalone engagement. Start with the free discovery call and we’ll figure out the right scope together.
Not sure where to start?
Book a free 30-minute call. We’ll look at your current setup and tell you exactly what needs to happen to get your model to prod.
Book a free callNo commitment. No sales pitch. Just a straight conversation.