Fixed Prices. Clear Scope.
No hourly billing, no scope creep, no surprise invoices. Pick a package that fits your needs and budget. Every engagement comes with documentation and a team handoff.
[ Hybrid Cloud + Local ]Best of both
Frontier APIs (Claude, GPT) for hard reasoning, local models (Qwen, Llama) for the high-volume work. Route each task to the cheapest model that does it well — cutting LLM spend 60–80%.
[ Self-Hosted Inference ]Own your models
vLLM and Ollama on Kubernetes or cloud GPUs, with autoscaling and cost-per-request observability. For teams that want predictable costs, data privacy, and full control of their AI stack.
Every package below works with either approach. We recommend the right mix for your workloads and budget during the initial call.
AI Cost & Infrastructure Audit
1 week
$2,500
A focused review of your AI spend and the infrastructure around it — where you're overpaying for frontier models, what could run locally, and how to make costs predictable. Includes a clear, prioritized report.
- ✓AI / LLM cost analysis & token spend breakdown
- ✓Hybrid routing opportunities (what can move to local models)
- ✓Cloud & GPU cost analysis (AWS, etc.)
- ✓Inference architecture & observability review
- ✓Security posture check
CI/CD & Model Deployment Pipeline
1-2 weeks
$5,000
A production-grade pipeline for your application — and your models. From code push to live across dev, staging, and production, including rolling out self-hosted inference if you run it. We use the right tool for your stack.
- ✓Automated build & test pipeline
- ✓Multi-environment deployments (dev/staging/prod)
- ✓Self-hosted model rollout (vLLM / Ollama) where needed
- ✓Infrastructure as Code (Terraform, Helm)
- ✓Monitoring, alerting & cost tracking basics
Hybrid AI Feature Sprint
2 weeks
$7,500
Add AI capabilities to your product on a cost-efficient hybrid stack — frontier models for reasoning, self-hosted local models for the high-volume work — shipped, deployed, and instrumented so you can see what it costs.
- ✓Requirements scoping & hybrid model selection
- ✓Hybrid routing design (frontier + local)
- ✓Self-hosted inference setup (vLLM / Ollama)
- ✓RAG / LLM / agent integration development
- ✓Cost-per-request observability & production deployment
Monthly Retainer
Ongoing
$3,000/mo
Ongoing AI infrastructure support, hybrid model work, and cost optimization — like having a senior AI infrastructure engineer on your team without the full-time salary.
- ✓15 hours/month of AI & infrastructure work
- ✓Monthly AI cost & performance reviews
- ✓Responsive support for inference & infrastructure issues
- ✓Model selection & routing guidance
- ✓CI/CD, deployment, and AI feature improvements
- ✓Security updates & patching
AI Cost & Infrastructure Audit
$2,500
A focused review of your AI spend and the infrastructure around it — where you're overpaying for frontier models, what could run locally, and how to make costs predictable. Includes a clear, prioritized report.
Deliverables
- ✓Written audit report with prioritized findings
- ✓Projected savings from hybrid routing & self-hosting
- ✓AI infrastructure roadmap
- ✓30-minute walkthrough call
This Is For You If
Teams whose AI or cloud bill is climbing faster than usage, and who suspect they're overpaying for frontier models.
CI/CD & Model Deployment Pipeline
$5,000
A production-grade pipeline for your application — and your models. From code push to live across dev, staging, and production, including rolling out self-hosted inference if you run it. We use the right tool for your stack.
Deliverables
- ✓Working CI/CD pipeline (GitHub Actions, Dagger, or ArgoCD)
- ✓Deployment configuration for your platform
- ✓Environment configuration (dev/staging/prod)
- ✓Documentation & team walkthrough
This Is For You If
Teams still deploying manually, or struggling to get AI models reliably from a notebook into production.
Hybrid AI Feature Sprint
$7,500
Add AI capabilities to your product on a cost-efficient hybrid stack — frontier models for reasoning, self-hosted local models for the high-volume work — shipped, deployed, and instrumented so you can see what it costs.
Deliverables
- ✓Working AI feature on a hybrid stack
- ✓API documentation & routing configuration
- ✓Deployment scripts & inference infrastructure
- ✓Cost & performance dashboard, plus knowledge transfer
This Is For You If
Teams that want to ship AI features without sending every request — and every dollar — to a frontier API.
Monthly Retainer
$3,000/mo
Ongoing AI infrastructure support, hybrid model work, and cost optimization — like having a senior AI infrastructure engineer on your team without the full-time salary.
Deliverables
- ✓Monthly summary of work completed
- ✓AI cost optimization tracking
- ✓Priority Slack/email support
- ✓Quarterly AI infrastructure roadmap review
This Is For You If
Growing teams that need AI infrastructure expertise but aren't ready to hire a dedicated platform engineer.
Projects We've Built
Products and tools built with the same stack we use for clients.
Simple Process
No drawn-out sales cycles. From first call to shipped work in weeks, not months.
Book a Call
30 minutes, no obligation. Tell us what's broken, expensive, or missing — we'll tell you honestly if we can help.
Get a Proposal
A clear scope of work with a fixed price. You'll know exactly what you're getting and what it costs before we start.
We Do the Work
We implement iteratively, keeping you in the loop at every step. No black boxes, no surprises.
Handoff & Support
We hand off with documentation and a walkthrough so your team can own and maintain everything we build.
Ready to Get Started?
Book a free 30-minute call. No sales pitch — just an honest conversation about whether we're a good fit.
Book a Free Call