For technical teams · AI engineering

We take your AIwhere it can't getby itself.

We make your models faster and cheaper to run. We build agent systems that work on their own, with real quality controls. And we leave it running on your infrastructure. Image, video, voice or text, with whatever tooling you use.

Published case: from 650 s to 72 s on one RTX 4090 →
BriefSpecificationHidden testsQuality gate BuildSealed evaluationMerge gateFinal test
merging needs no manual approvalif something fails, it rolls back on its ownthe coding agent never sees the tests
Original model650 s
Our method72 s
5 s of video · same GPUmemory −40 %open source ★ 499
1 coordinator · 9 agentscriteria written in advanceone that challenges everything
Examples

What we canbuild in your team.

Three patterns we have already built and measured. We adapt them to your process, your data and your tools.

Agents · development

Agents that write code, under control

You write the brief. The agents specify it, code it and test it. Only what passes the checks gets in, and if something breaks later, it is undone automatically.

  • Specification before any code
  • Tests the coding agent cannot see
  • Automatic checks before any change is accepted
  • Automatic rollback if something breaks
8chained stages
2quality gates
Optimisation · published example

Nine times faster, measured

A method for generating video with a consistent character on a single GPU, published as open source so anyone can measure it.

  • From almost 11 minutes to 72 seconds
  • 40 % less memory
  • Same seed and same GPU, before and after
9×faster
★ 499on GitHub
How we did it: the write-up → See the code and the benchmark →
Agents · analysis

Agents that research and decide

For market, competitors or documentation: a coordinator splits the work between specialised agents, one of them challenges every conclusion, and everything comes with sources.

  • Searching and reading sources
  • An agent that challenges every conclusion
  • A report with sources and a clear decision
10coordinated agents
✓sources in every report
Video · internal test

A 360° AI turn, and where it breaks

We tested an orbit LoRA for a video model on a person and an object: what it does well, how long it takes and where it invents what it cannot see.

  • 62 s vs 141 s on a single graphics card
  • On an isolated object, 4 of 4 full turns
  • On a product in a hand, we would not use it
2.3×less time
6clips per variant
Read the test, with the videos →
Services

What we dofor your team.

Services for businesses and professionals. Starting prices, excl. VAT. After the diagnostic or the first conversation, the proposal fixes scope and price.

01 · optimisationfrom€600

Faster, cheaper

We profile your image, video or text system and go after what costs you: fewer steps, less memory, better use of hardware and of model calls. With measurements before and after.

  • profiling
  • memory
  • latency
  • cost per result
02 · agentsfrom€1,500

Agent systems

Agents that run long processes on their own, with the workflow in code, tests they cannot skip, quality gates and budgets per type of action. With Claude, other models or local LLMs.

  • orchestration
  • evaluation
  • quality gates
  • traceability
How we work with agents →
04 · toolsfrom€600

What your tool is missing

Extensions, nodes, plugins and connectors for what you already use, from ComfyUI to Shopify or Google Calendar. Documented, tested, and in your repository.

  • extensions
  • integrations
  • API
  • tests
See a measured ComfyUI preset →
05 · infrastructurefrom€1,200

Private AI, under your control

Your models and workflows behind a private API with a job queue, on your servers or in the cloud you choose. No per-use fees to third parties. On your servers, your data stays with you.

ClaudePyTorchComfyUIDiffusersModel APIsPythonDockerGitHub Actionsand whatever you use
To start

A diagnosticof your system.

Tell us what you have and send us one real case: a workflow, a pipeline or an agent process. Within a week you get a report with what we measured, where time, money or quality is lost, how much you can gain, and the closed price to do it.

€300closed price · deducted if we continue (excl. VAT)
diagnostic · example~/your-system

      
How we work

Asynchronousand measured.

No weekly meetings: everything in writing, with the measurements in front of you. We deliver the code and models to your repository; full usage rights pass to you on full payment.

01

You send us the case

What you have, what hurts, and a real example with its current time or cost.

02

We measure

We reproduce it and measure it under conditions equivalent to yours.

03

We propose

What to change, how much you gain and what it costs, in writing.

04

We deliver

In your repository, with tests and the final measurement.

FAQ

Before you start

Which tools do you work with?

Yours. We work daily with Claude, PyTorch, ComfyUI and model APIs, but what matters is the measured result, not the tool.

Do you need access to our servers?

Not to start. With a real case we reproduce it on our own. To deploy, only the access you decide to give us.

Do you sign an NDA?

We work with a standard mutual confidentiality clause included in every proposal, and we review yours.

What if it can't be improved?

The diagnostic says so, with numbers. If there is no gain worth the effort, we tell you and don't propose anything else.

Do you work with teams outside Spain?

Yes. Remotely and in writing, in English or Spanish.

Contact

Let's talk.

Tell us what you have running and where it hurts: time, cost, quality or manual work. We reply within 48 hours.