# LakeTab > Technology partner for mid-sized companies. We design and build the technology a business needs: data and dashboards, process automation, custom software, applied AI and the cloud underneath. Based in Barcelona, working with clients across Spain and Europe. LakeTab was founded in 2023 by Guille Montejo and Leo Andruskevicz. We work on a small number of accounts at a time, which is why the case studies below carry the detail that a service page cannot: what the company had before, what we decided and why, and what changed after delivery. The site is published in Spanish, English and Catalan under /es, /en and /ca. Links here point at the English pages, except the sub-service pages, which exist only in Spanish. ## Services - [Technology strategy](https://www.laketab.com/en/services/consulting): What to build, what to integrate, what to buy. - [Data and dashboards](https://www.laketab.com/en/services/analytics): One data model and dashboards that read at a glance. - [Process automation](https://www.laketab.com/en/services/automation): Manual work between systems, gone. - [Software development](https://www.laketab.com/en/services/software): Applications and platforms built to fit. - [Applied AI](https://www.laketab.com/en/services/ai-data): AI where it helps, on data that already exists. - [Cloud and operations](https://www.laketab.com/en/services/cloud): Azure and AWS, with releases and costs under control. ## Case studies - [HANGAR](https://www.laketab.com/en/casos-de-exito/hangar): A ticketing and QR access-control platform of its own that validates every ticket in under a second and does away with third-party platforms. - [Arcol](https://www.laketab.com/en/casos-de-exito/arcol): A secure customer portal for distributing firmware, documentation and certifications with full traceability. - [Grupo Pomona Iberia](https://www.laketab.com/en/casos-de-exito/grupo-pomona-iberia): A Business Intelligence platform that consolidates the sales and purchases of four companies into a single model, refreshed every day. - [ASDT Corporation](https://www.laketab.com/en/casos-de-exito/asdt-sendescope): A drone detection system with its own maps and remote updates for a fleet of more than 500 units. - [Grupo Mayo](https://www.laketab.com/en/casos-de-exito/grupo-mayo): An integrated dashboard on Business Central that removes manual reporting across the whole group. - [Hably](https://www.laketab.com/en/casos-de-exito/hably): A fitness social network for iOS and Android, with payments and real-time messaging, taken from zero to a publishable version in a year. - [Nut4Health (Sic4Change)](https://www.laketab.com/en/casos-de-exito/nut4health): A data platform that turns the field records of a child nutrition programme into evidence-based decisions. - [Joves de Barcelona, Ajuntament de Barcelona](https://www.laketab.com/en/casos-de-exito/joves-barcelona): An analytics platform that measures the impact of Barcelona's youth services network across its ten districts. ## Articles - [Business Automation with AI: Where to Start Without Wasting Money](https://www.laketab.com/en/blog/automatizacion-empresarial-con-ia-por-donde-empezar): Most companies start AI in the wrong place. - [Invoice Data Extraction with AI: How to Build the Pipeline](https://www.laketab.com/en/blog/automatizacion-facturas-ia-pymes): Supplier invoices burn 6-10 hours a week at a mid-sized company. - [ETL vs ELT: Which Pattern to Pick in 2026](https://www.laketab.com/en/blog/etl-vs-elt-para-pymes): ETL isn't dead. When classic ETL still wins, when modern ELT is the default, and what to avoid picking your data pattern. - [Building a Data Warehouse: A Decision Framework for SMB CTOs](https://www.laketab.com/en/blog/building-a-data-warehouse): Most data warehouse projects over-engineer before shipping a single dashboard. - [RAG, fine-tuning or prompts: which one puts an LLM into production](https://www.laketab.com/en/blog/ai-implementation-for-business): Three ways to adapt a language model to a company, the order to try them in, and why the evaluation set matters more than the technique. - [AI Implementation: Local Claude-Style LLMs for Business](https://www.laketab.com/en/blog/ai-implementation-local-llms): Discover how artificial intelligence for business can leverage local Claude-style LLMs for enhanced privacy, efficiency, and cost savings. - [Power BI Financial Dashboard in Minutes](https://www.laketab.com/en/blog/power-bi-financial-dashboard): Learn how to implement a Power BI financial dashboard with our step-by-step guide and discover best practices for business leaders to master financial data - [What Is AI Engineering and Why Your Business Needs It in 2026](https://www.laketab.com/en/blog/what-is-ai-engineering-and-why-your-business-needs-it): AI engineering goes beyond buzzwords. Learn what it really means, how it works, and how companies are using it to cut costs, grow revenue, and gain a competitive edge. - [Build vs Buy: Custom Software Decision Guide](https://www.laketab.com/en/blog/build-vs-buy-custom-software-decision-guide): The build vs buy decision is one of the most important technology choices you'll make. - [Automate Business Processes with AI Agents](https://www.laketab.com/en/blog/automate-business-processes-with-ai-agents): AI agents are transforming how businesses operate. - [Predictive Analytics: AI for Competitive Advantage](https://www.laketab.com/en/blog/predictive-analytics-ai-competitive-advantage): Discover how predictive analytics and AI can help your business forecast demand, reduce churn, optimize pricing, and make better decisions — with real examples and implementation… - [Modern Data Stack: A Guide for Growing Businesses](https://www.laketab.com/en/blog/modern-data-stack-guide-for-business): Learn what a modern data stack looks like, which tools to choose, and how to build a data infrastructure that scales with your business — without overengineering. - [Moving to the cloud: what to decide before the first server moves](https://www.laketab.com/en/blog/cloud-migration-strategy-for-growing-companies): A cloud migration gets expensive when servers are copied as they are. - [Choosing an AI model: three questions before the leaderboard](https://www.laketab.com/en/blog/choosing-right-ai-model-for-your-business): Where the data may go, how much volume there is and how quality is measured decide more than any comparison of GPT, Claude, Gemini and Llama. ## Company - [About the team](https://www.laketab.com/en/about): Who we are and how we work - [Contact](https://www.laketab.com/en/contact): The form that reaches us ## Optional - [Everything in one file](https://www.laketab.com/llms-full.txt): The same index with the Spanish sub-service pages and longer notes - [Legal notice](https://www.laketab.com/es/aviso-legal) - [Privacy policy](https://www.laketab.com/en/privacy) - [Terms](https://www.laketab.com/en/terms) - [LinkedIn](https://www.linkedin.com/company/laketab)