APPLIED ARTIFICIAL INTELLIGENCE

Applied AI.
Results you
can see.

We turn images, documents, knowledge and speech into useful tools for your business. Designed and evaluated by three AI engineers.

Current models. Continuous evaluation. Applications that evolve.

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16Evaluated demonstrations
EN/ESWorking in two languages
03AI engineers
Videos, metrics and case studies

CONTINUOUS ADAPTATION

AI moves forward.
So do your applications.

AI is evolving rapidly. Staying current is part of our engineering: we follow new language, vision, audio and multimodal models, test them and bring the improvements into our applications.

Explore our applications
01

Track new releases

We review releases, capabilities, licences and requirements. We prioritise those that could improve a specific use case.

02

Compare with evidence

We test quality, speed, cost and resource use against the same evaluation cases. We measure the improvement before adopting it.

03

Integrate and improve

We integrate models that add value, check the complete workflow and keep the previous configuration recoverable. We repeat the cycle with each relevant advance.

01 / Services

Your workflow.
Our engineering.

We start with your data and your goal. We agree on scope, deliverables and acceptance criteria before building.

01

Document AI

From documents to reviewable data.

Extract invoice and form fields, flag inconsistencies and keep the original available for human review.

Extraction · OCR · Validation · Export

↗
02

Enterprise RAG

Answers with the source in view.

Turn scattered documents into searchable knowledge, with references and evidence your team can inspect.

Hybrid search · Retrieval · Citations

↗
03

AI agents

Workflows that keep your team in control.

Design assistants and multi-agent systems with bounded tools, reviewable steps and process-specific integrations.

Planning · Tools · Orchestration

↗
04

Speech AI

From speech to the next step.

Transcribe recordings, prepare reports, review conversations or generate synthetic narration with local models.

Transcription · Reports · Text to speech

↗
05

Computer Vision

Computer vision for your use case.

Inspect images, align viewpoints, compare scans and reconstruct geometry from photos, with evidence and review.

Inspection · Matching · 3D geometry · Reconstruction

↗

02 / Projects

See how
it works.

Five cases that show our capabilities. Each connects a practical problem with a workflow you can watch and inspect.

FROM GOAL TO DELIVERY

A clear path.
In four steps.

01

Understand

We review your workflow and a data sample. You receive a proposed approach and the questions we need to resolve.

02

Define

You receive an agreed scope, deliverables, milestones and acceptance criteria.

03

Build and evaluate

You receive a working pilot, usage examples and an evaluation with results and limitations.

04

Integrate and deliver

You receive the agreed integration, documentation and a handover session. Maintenance is scoped separately.

03 / Team

Three engineers.
A shared standard.

We share expertise in AI, robotics and software development. Each project has a clear point of contact, with responsibilities organised around its scope and technical review between teammates.

Portrait of Alejandro Climent Peñalver

Applied AI · RAG · Research

Alejandro Climent Peñalver

AI engineer focused on RAG and machine learning. Combines document retrieval, generative AI and research to build solutions from data.

Education, experience and recognition

Education

  • Bachelor’s degree in Robotics Engineering.
  • Master’s in Applied Artificial Intelligence · Universidad Carlos III de Madrid.

Experience and research

Awards and recognition

Portrait of Ander García Hoyberg

Computer vision · OCR · Document AI

Ander García Hoyberg

AI engineer focused on computer vision and document processing, from detection and segmentation to data extraction, review and integration.

Education, experience and recognition

Education

Experience and research

Awards and recognition

Portrait of Sergio García Muñoz

Audio · Multi-agent systems · Local models

Sergio García Muñoz

AI engineer focused on audio, agents and local models. Designs transcription, analysis and speech synthesis systems with coordinated tools and private inference.

Education, experience and recognition

Education

  • Bachelor’s degree in Robotics Engineering · Universidad de Alicante.
  • Master’s in Artificial Intelligence · Universidad de Alicante.

Experience and research

Awards and recognition

04 / Contact

What would you
automate?

Tell us what data you have, what outcome you need and how it should fit into your workflow. We’ll help you define a practical first step.

Discuss your project on Upwork

Alicante, Spain · Working in Spanish and English

Send a short description of your workflow and data. We can start by scoping a pilot and agreeing how to evaluate it.

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