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.

VISION / DOCUMENTS / INTELLIGENCEBUILT TO BE INSPECTED
11Evaluated demonstrations
145Recorded synthetic cases
03AI engineers
Videos, metrics and case studies

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

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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.

Detect, count and inspect objects; review boxes and masks before exporting evidence or a dataset.

Inspection · Counting · Segmentation · Annotation

↗

02 / Projects

See how
it works.

9 featured cases and 4 additional projects. Real interfaces, videos and results with context: what was measured and where the limits are.

13 projects

Interface for Ledger LensEvaluated demo
Document AI02

Ledger Lens

Orders, deliveries and invoices. One connected review.

3/3Bundles with all fields correctRecorded synthetic dataset
Interface for Document DeskEvaluated demo
Document AI05

Document Desk

From unstructured documents to data you can trust.

32/32Documents with all fields correctRecorded synthetic dataset

FROM GOAL TO DELIVERY

A clear path.
In four steps.

01

Understand

Your data, workflow and expected outcome.

02

Define

Agreed scope, milestones and acceptance criteria.

03

Build and evaluate

A pilot tested on representative examples.

04

Integrate and deliver

Documented code, an API or an application as agreed.

03 / Team

Three engineers.
A shared standard.

Professional development, AI research and robotics. Based in Alicante, we work with teams that need measurable results and clear deliverables.

Portrait of Alejandro Climent Peñalver

Applied AI · Robotics · Research

Alejandro Climent Peñalver

AI engineer with experience in machine learning, generative AI, data analysis and robotic systems, including predictive maintenance using sensor data. He combines applied development with social robotics research to turn data and models into solutions built around a specific problem.

Robotics engineer with a master’s in Applied AI. Author of research on generative AI for social robotics published at IEEE ICRA, and a national winner of an international technology competition.

Portrait of Ander García Hoyberg

Computer Vision · OCR · Document AI

Ander García Hoyberg

AI engineer specialising in computer vision and document automation. He works on object detection and segmentation, OCR and multimodal extraction, connecting outputs to validation rules and APIs. His experience covers industrial inventory, traceability and document processing, from model selection through integration into the working process.

Postgraduate background in Robotics, Graphics and Computer Vision. Visiting research experience in autonomous driving, working on video models, RGB-D fusion and early collision anticipation.

Portrait of Sergio García Muñoz

RAG · Multi-agent systems · Local LLMs

Sergio García Muñoz

AI engineer specialising in advanced RAG, multi-agent systems and local LLMs. He designs and implements enterprise solutions from architecture to deployment: document retrieval with OCR and vector databases, agent orchestration with tools, and private inference optimisation. His experience spans healthcare, pharmaceutical distribution and logistics, alongside speech and multimodal AI applications.

Master’s in Artificial Intelligence. Experience with architectures coordinating 10–20 agents, and winner of two national technology competitions.

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.

Talk to Quarkeon on Upwork

Alicante, Spain · Working in Spanish and English

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