ai engineering lab / production ai / 2026

Production AI in weeks,
not quarters.

Goalia Labs is a small, senior team that puts AI into production against a named business metric, fast, at a published price, with you owning the code from day one. Not a consultancy. A lab.

4 to 6 weeks
to first production agent
25+
production projects shipped
10+
years in ai and data engineering
4
cloud platforms

Track record built by our founding team prior to Goalia Labs, now delivered under this model.

the gap

Everyone has an AI backlog.
Almost nobody has AI in production.

The gap is not ambition or ideas, it is delivery. Three forces keep it open.

the wall

Hiring is slow

Senior AI talent is slow and expensive to hire. Teams fall months behind plan, and the board keeps seeing the same roadmap slide with no live system behind it.

the drag

Pilots that never ship

Most AI work stalls as demos, proofs of concept, and notebooks. No live traffic, no KPI moved, no audit trail. Impressive in a meeting, nothing in operations.

the answer

A small senior pod

A productized delivery unit at a published price, on a fixed clock. It ships one production agent in four to six weeks, then keeps shipping a new use case roughly every month.

how it works

One pod. Four stages.
Each one ships something real.

Two or three senior humans at the edges, a fleet of AI agents in the middle handling code, evaluation, testing, and documentation under human direction. That is how a small team ships on a weekly cadence.

stage 01

Fit call

30 minutes

A qualifying conversation with an AI Architect. You leave with a one-page fit memo.

stage 02

Discovery sprint

1 week

Intake, data and systems mapping, architecture draft. Output: a pilot statement of work.

stage 03

Pilot

4 to 6 weeks

A 2 to 3 person pod ships one production agent or workflow. Output: a live agent plus its evaluation harness.

stage 04

Retained

ongoing, 3-month min

The same pod ships a new use case every 3 to 4 weeks, with an SLA on every live agent.

See pricing

how we work

Six principles, applied strictly.

01

Start with the value, not the model

Every engagement opens with a named KPI the agent will move. No number, no build.

02

Production is the deliverable

Prototypes and demos do not count. Live traffic, your authentication, observability on.

03

The eval harness ships with everything

Traces, inputs, outputs, latency, cost, and task success. Your audit trail and our feedback loop.

04

One-week release cadence

Non-production weekly, production every two to three weeks during the pilot. Measured and published.

05

Day-agent, night-agent

Humans steer during working hours; agents run approved tasks overnight. Each morning starts with reviewed output.

06

You own it from day one

Code, prompts, evaluation data, and infrastructure config are yours from the first commit. When the pod leaves, the agent stays.

proof

A decade of systems already in production.

Across banking, insurance, agriculture, healthcare, industry, and the public sector. A few of the numbers our founding team has shipped, prior to and now continuing under Goalia Labs.

<1s
matching latency, real-time sanctions compliance for a European insurance leader, with 40% fewer false positives.
-67%
alert volume on a banking watchlist filtering platform, analyst productivity tripled.
600+
ML models in production for region-aware crop phenology prediction.

See the full portfolio

the category

The model the industry's leaders are adopting.

Small senior teams with agents in the middle, delivering production AI as continuous execution. The biggest names converged on it independently. We deliver it as an independent team: faster, transparent, and with no platform lock-in.

IBM Consulting
forward deployed units

"An FDU isn't a person; it's a pod. Humans at the edges with a digital workforce of specialized agents in the middle." A six-person pod doing the work of a 30-person team.

Globant
ai pods, subscription

The first subscription model for AI-powered engineering: agentic AI supervised by senior experts, matching the output of a high-performance team.

Bain & Company
ai pods as a service

A top strategy firm naming "AI Pods as a Service" as an emerging category: modular, scalable, built for speed, a break from billing by the hour.

pricing

We publish the price.

You should not have to book a meeting to find out whether we fit your budget. Tokens and tooling are included. The discovery fee is credited toward your pilot.

fit call

Free

30 minutes with an AI Architect. One-page fit memo included.

discovery sprint

EUR 12k

One week. Credited toward your pilot. Output: a pilot statement of work.

pilot

from EUR 60k

4 to 6 weeks. One production agent, live, with its evaluation harness. Scoped on systems to integrate, data readiness, and regulatory surface.

retained

EUR 52k / mo

A new use case every 3 to 4 weeks, SLA on live agents. 3-month minimum. SLA terms defined per engagement in the retained agreement.

Regulated engagements (healthcare, financial services) start from EUR 75k to cover compliance, security review, and audit overhead.

the team

Senior engineers who have shipped.

Two founders who own architecture and review on every engagement, as the pod grows around them.

ceo

Gregorio Ferreira

10+ years in AI and data engineering. Turns business strategy into production-grade ML and GenAI platforms, has led MLOps units of up to 15 engineers, and published research on LLM safety. Bridges C-suite vision with technical execution.

cto

Ernesto Martínez del Pino

6 years in MLOps and product strategy. Owns model lifecycles end-to-end and shapes data-driven roadmaps with stakeholders. Has delivered production ML platforms and GenAI assistants across multiple industries.

next step

Tell us the metric. We will ship the agent.

Book a 30-minute fit call with an AI Architect. Free, with a one-page fit memo included. Bring one use case and the number you want to move.

Book a fit call
hello@goalialabs.com