Pricing

A team, month to month.

Hire a team of developers starting from $5,000. No contracts, no per-hour billing. Scoped to your project.

Not what you pay us

$250k+/ year

The fully loaded cost of hiring one senior AI/ML engineer yourself — salary, benefits, recruiting and overhead. Months to hire, one person deep, and no backup when they leave. This is the number a pod replaces.

What you pay us

Starting from $5,000/ month

A whole team of senior engineers plus a pod lead. Live within days, shipping weekly, cancel with 30 days notice.

Three ways in.

Every plan is month to month with no term to buy out. You are buying build capacity, not a block of hours, so there is no per-hour billing to reconcile.

Builder Pod

$5,000/ month

Best for early automation, MVPs, and single workflow optimization.

1 active build track
Pod lead + 2-engineer bench
Weekly ship + async progress updates
Sprint roadmap
Month-to-month (30-day notice)
Get in touch

Growth Pod

$10,000/ month

Best for scaling delivery across teams.

2 concurrent build tracks
Pod lead + 3-engineer bench
Weekly ship + bi-weekly live strategy call
Architecture planning and optimization iterations
Hosting discount and priority support
Month-to-month (30-day notice)
Get in touch

Enterprise Organization Pod

Let's talk

Built for organizations that want a complete AI development function without building one internally.

3+ parallel build tracks across departments
Dedicated senior lead + 3–8 engineers
Weekly ship + executive roadmap reviews
Architecture ownership and quarterly roadmap
Hosting included
Priority SLA and escalation support
Internal tooling and proprietary system builds
Book a scoping meeting

The same price buys any of these engineers, and 99+ more.

A pod is mixed to fit the work rather than sold by the seat. If a build needs a data engineer for three weeks and a tester after that, that is the pod you get — across 74 technologies. See the stack.

Forward-deployed AI engineer

Rare

Sits with your team, learns how the work actually gets done, then automates the parts nobody enjoys.

AI automation engineer

Rare

Wires models into the tools you already run so a workflow finishes without a person babysitting it.

AI / LLM engineer

Agents, retrieval and evaluations. Builds the thing that answers, and the harness that proves it answers correctly.

ML engineer

Training, fine-tuning and scoring models, plus the pipelines that keep them fed and monitored in production.

Data engineer

Ingestion, warehouses and the joins nobody wants to own. Clean inputs, or the model is guessing.

Full-stack engineer

Ships the whole slice: schema, API and the screen the user touches.

Frontend engineer

The interface your customers judge you on. Accessible, fast, and built to be extended.

Backend engineer

Typed services, background jobs and integrations that hold up under real traffic.

DevOps / platform engineer

Your cloud, your pipelines, your monitoring. Deploys become boring on purpose.

QA / test engineer

Browser and unit coverage on the paths that cost you money when they break.

Mobile engineer

iOS and Android from one codebase where that fits, native where it does not.

Pod lead

Owns scope, architecture and the weekly delivery. Your single point of contact.

99+ other engineer types

Name the specialism. If the role exists on the market we can bench it, and we will tell you honestly when we cannot.

Ask for a specialism

Get in touch.

Thirty minutes to map your problem to a plan and a timeline. You will leave the call with scope, price, and a start date.

What happens on the call
01You describe the outcome you need.
02We map it to scope, price, and a start date.
03You decide whether to proceed to a free prototype.
Schedule a 30-minute call