Netguru AI Pod - Production AI in Weeks

We use AI to build AI. Fast

Humans design the architecture and make decisions, while AI handles execution.

That’s how you get a working AI system in 4–6 weeks, without hiring a large team.

The Pod is built around a single outcome agreed upfront: one KPI, one fixed price, one production delivery. Each sprint ends with a working build, so you always see what shipped, what was tested, and what’s next.

When the Pilot ends, you own everything. Code, prompts, evaluation data, and infrastructure stay with you. The Pod leaves. The system keeps running.

Senior-only team

2–3 experienced engineers supported by AI, focused on fast, high-quality delivery.

AI agents as the engine

Agents handle coding, testing, and evaluations. Humans review and own every decision.

Build in weeks

Your first production system is delivered in 4–6 weeks, without long discovery or stalled pilots.

Fixed price

One use case, one agreed price, with no time-and-materials or scope creep.

Defined result

Each build starts with a clear goal and measurable outcome agreed upfront.

Built to keep delivering

Start with one working system, then ship a new use case every few weeks with the same Pod.

Inside the Pod

See how a small team ships production AI on a weekly cadence without adding headcount.

AI Architect 7+ yrs engineering, 2+ yrs LLM production. Owns architecture, eval design, and stakeholder alignment. ALWAYS-ON
AI Engineer (×1–2) 4+ yrs engineering, 1+ yr LLM production. Builds agents, prompts, integrations, and the eval harness. ALWAYS-ON
Product Designer Included when the work is product-shaped: copilots, assistants, in-product AI surfaces. ON-CALL
Specialist Streams Data Engineer, MLOps, security, or domain specialist — scoped separately when needed. PER SPRINT

Start with value, not the model

Every engagement begins with a clear KPI the agent will improve. If we can’t define the outcome, we are not ready to build.

Production is the deliverable

The Pilot is complete only when the system runs in production, with real users and full observability.

Evaluation is built in

Every system includes an evaluation layer with traces, inputs, outputs, latency, cost, and task success.

Weekly release cadence

We ship continuously. Updates go out weekly, with production releases every few weeks depending on the stage.

AI runs continuously

Humans design and review. AI executes tasks like coding, testing, and evaluation.

You own everything

ll code, prompts, evaluation data, and infrastructure belong to you. The system runs independently, with or without us.

Fit Call · Free · 30 minutes
A free 30-minute conversation with an AI Architect to assess your use case, data access, and production readiness. You leave with a clear recommendation and a short Fit Memo.
Discovery Sprint · €12k · 1 week
A focused one-week sprint to map your data, systems, and architecture. We define the problem, scope the solution, and prepare a clear plan for the Pilot. The cost is credited if you continue.
AI Pod Pilot · From €60k · 4–6 weeks
A small, senior team delivers a production-ready AI system built around a defined KPI. Scope, timeline, and price are fixed from the start, with everything shipped into production.
AI Pod Retained · €52k/month · 3-month minimum
The same Pod continues as your AI delivery capability, shipping new use cases every few weeks and maintaining what’s already in production.