AlamedaDev is an AI-first software engineering studio founded in 2009. With over 15 years of experience, we have developed intelligent solutions for innovative startups and large corporations across Canada, the United States, and Europe. Our track record spans sectors such as healthcare, hospitality, fintech, travel, telecommunications, legal, and industry. Our expertise is reflected in projects that combine artificial intelligence with robust software, always focused on delivering business results.
We are software engineers, machine learning specialists, product developers, UX/UI designers, and software architects. We work collaboratively across all project phases: from technical architecture and AI model integration to frontend and backend development.
We are members of leading technology alliances that enable us to deliver cutting-edge solutions:
Active member of Digital Catalonia Alliance for AI, where we collaborate with leading tech companies and research institutions in developing and implementing AI solutions for various sectors including healthcare, finance, and public administration.
Specialized in implementing enterprise-grade AI solutions using Google Cloud Platform and Vertex AI, with expertise in custom model deployment, MLOps, and large-scale data processing pipelines.
Extensive experience with AWS AI services including Amazon SageMaker, Bedrock, and Comprehend, enabling us to build and deploy sophisticated machine learning models and AI-powered applications at scale.
Technical expertise in Azure AI services and cognitive solutions, enabling us to build and deploy scalable machine learning models and AI applications using Azure's comprehensive cloud infrastructure.
Full Stack Developer · AI Product Builder · Founder at AlamedaDev
Full stack engineer with over 15 years of experience building digital platforms and AI-first solutions. He has led technical teams on international projects for startups and large corporations, with a focus on scalability, product, and user experience.
Chief Scientist · Lead AI Solutions Architect · Founder at Anthus AI Solutions
AI scientist and architect with more than 20 years of experience in enterprise software and critical systems. He has directed R&D labs in the United States to develop and scale machine learning models, LLMs, and multi-agent systems.
Project Manager · Full Stack Developer · Creative Technologist
Project manager and full stack developer experienced in coordinating multidisciplinary teams. She has managed intelligent application projects with thousands of users, prioritizing usability, automation, and business value in every delivery.
Chief AI Engineer & DevOps Specialist
AI engineer and DevOps specialist with more than 20 years of experience designing secure, scalable cloud infrastructures. He has led the implementation of modern architectures and high-performance artificial intelligence solutions for critical enterprise environments.
Our focus is on products where artificial intelligence plays a central role: chatbots, natural language processing, RAG, multi-agent systems, intelligent dashboards, AI-driven APIs, and tools that combine generative models with custom software.
We design and develop AI-powered chatbots that understand context and deliver useful responses. From customer support to internal assistants, they adapt to the specific needs of each company.
We integrate NLP models capable of extracting meaning from unstructured text. This enables the creation of conversational interfaces, automation of document workflows, and generation of valuable insights.
We build RAG systems that combine LLMs with dynamic knowledge bases, delivering accurate and up-to-date responses in critical environments such as healthcare, legal, or industry.
We orchestrate architectures based on intelligent agents to automate workflows, support decision-making, and coordinate AI components that collaborate with one another.
We develop APIs that encapsulate AI models and make them easy to integrate into other systems, enabling new intelligent functionalities without redesigning entire infrastructures.
We create tools that combine generative models with custom software, unlocking new forms of interaction, creativity, and automation for each business.
Real-world use cases, and technical deep dive on applied AI.
How to turn standard operating procedures into decision graphs that guide AI agents reliably. Practical examples of guardrailed workflows, auditability, and LLM-powered decision-making within SOPs.
Published on October 7, 2025
How LLMs go beyond OCR to understand PDFs, tables, and technical manuals—turning unstructured files into structured data. Real-world use cases in finance, legal, and technical documentation with LlamaParse and RAG.
Published on September 16, 2025
We explore how companies can design and implement intelligent agents capable of performing real-world tasks.
Published on September 9, 2025
Let’s discuss what you want to build: AI, software, or both.