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Software engineering AI-augmented

Over 20 years designing and building quality software and high-concurrency systems: SaaS platforms, data systems and cloud infrastructure. Artificial intelligence in the way we work and in the products we build.

Tell us about your project Services
Method

How we use AI

Architecture, technical decisions and the review of every change are the responsibility of a senior software engineer. AI agents speed up implementation by taking on the most mechanical, well-specified work, where they are faster than humans and leave less room for error, always with a human in the loop.

Architecture and specification

Architecture and specification

Every project starts with the study of the domain, the architecture and the coding conventions. That specification is what developers and AI agents follow afterwards.

Accelerated implementation

Accelerated implementation

The critical parts are implemented by senior engineers. AI agents help by writing code, tests, migrations and documentation. All according to the prior specifications.

Review of every change

Review of every change

Every change arrives as a pull request with automated tests and is reviewed line by line before it is merged. The client can have access to the repository and its full history.

Recent projects
Green IT

ZeroNet

ZeroNet IT

ZeroNet IT

Green ITOps platform that measures the energy consumption and emissions of IT infrastructure without physical sensors, and orchestrates automated actions to reduce them.

zeronetit.com

Role

Juanjo Payá: co-founder and CTO. Wrote the entire codebase: vendor integrations, dashboard, infrastructure and website.

PHP / Symfony MySQL RabbitMQ LLM Docker AWS Terraform
Education SaaS

EduSafe

EDUSAFE AI

EDUSAFE AI

Digital safety SaaS for schools. It uses AI to classify every browsing event by context.

edusafe.ai

Role

It started as a personal project, built in spare time, and EDUSAFE AI SL is now a promising startup with one of the largest education groups in Spain as its design partner and client.

PHP / Symfony Chrome MV3 LLM MySQL Docker Terraform
Early Warning System

TYPSA EWS

TYPSA

TYPSA

Early Warning System for urban areas, developed within an international flood risk management programme.

Role

Subcontractor to TYPSA to turn its prototype into a marketable product as consultant, senior developer and technical lead of the project's software area. Coordination of the TYPSA developers assigned to that project.

Next.js TypeScript PostgreSQL / PostGIS Python Docker Kubernetes Google Cloud Terraform
AI in your product

Artificial intelligence built into the final product

Automation of routine tasks, semantic search, classification and assistants over each client's data. In every case the choice is made between provider models and models running on the client's own infrastructure.

Large model APIs

OpenAI, Anthropic, Google, Mistral... Complex reasoning, conversational agents and large-scale semantic search.

Local models

Open-source models served with vLLM on dedicated GPUs. Bulk classification, extraction and summarisation at lower cost and latency. Data that never leaves the client's infrastructure.

Decision models (System One)

Models such as TypeSafe's Jev, which return typed decisions with calibrated confidence in milliseconds. Classifying, routing, scoring or validating inside the software itself.

Distillation

Answers from large models, reviewed by people, become training data for small, specialised models that solve the same task faster and at lower cost.

RAG Agents Embeddings Fine-tuning Distillation vLLM Vector DB
Services

What we build

Development, product, consulting and infrastructure, with the same standard on every project.

Custom development

Web applications, APIs and backend systems with clean architecture, tests and documentation.

Digital product

From concept to a product in production: technical definition, MVP and iteration with real users.

Technical consulting

Code audits, architecture definition and stack selection for the most critical technical decisions.

Cloud infrastructure

CI/CD, containers, infrastructure as code, monitoring and scaling on AWS, Google Cloud or dedicated servers.

Systems integration

APIs, data migrations and orchestration between in-house and third-party systems.

Legacy modernisation

Refactoring and migration of existing systems without stopping operations.

See all services in detail

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