PredictLand AI
Spanish artificial intelligence consultancy founded in 2017 that builds machine learning and generative AI applications for business.
Last updated September 29, 2026
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Overview
PredictLand AI is a Spanish artificial intelligence and data science consultancy that presents itself as a specialist AI consultancy for business, operating since 2017. Its stated mission is to boost sales, productivity and operational excellence for client organisations through machine learning and generative artificial intelligence techniques. Rather than selling a single packaged software product, PredictLand positions itself as a consultancy and solution partner that designs custom, high-impact AI applications tailored to each client's processes. The company's service catalogue spans a broad range of applied AI use cases. These include data exploration and the identification of patterns and relationships; detection of fraud, faults, incidents and churn; demand forecasting and inventory planning; optimisation of prices, processes, resources, machines and routes; product recommendation and hyper-personalisation; task automation such as classification and document management; and conversational agents including chatbots and copilots. PredictLand organises its offering around client functions, addressing commercial areas (marketing, sales, products, customer service), operations (manufacturing, supply chain, quality, logistics) and corporate services (HR, IT, legal, finance and administration). PredictLand's public case studies illustrate the type of industrial and commercial problems it tackles. One documented engagement involved designing an AI solution for BSH Electrodomésticos in Spain, the global home-appliance manufacturer behind brands such as Bosch, Siemens, Balay, Gaggenau and Neff. The challenge was to anticipate the reconfiguration and recalibration of a critical manufacturing machine in order to minimise downtime and avoid production defects, drawing on data from dozens of servos generating readings every two milliseconds. PredictLand's solution learned from the machine's behaviour and from the know-how of the most experienced operators, advising operators on how to reconfigure the machine, improving efficiency and the OEE index of the production line while reducing scrap and configuration-related defects. Other published cases cover demand forecasting for newly launched products, sales forecasting for thousands of products across multiple countries, sales forecasting and inventory optimisation, production forecasting and optimisation, and automatic document classification. Beyond client work, PredictLand is visible in the Spanish AI ecosystem. The company announced its entry into the IndesIA business association with a challenge proposed by Redeia, and it co-organised a pioneering artificial intelligence hackathon in Ávila on 27 September together with Naturgy and the Fundación Princesa de Girona. Its Director of Operations, Andrés Visús, has also appeared in media commentary, including an Antena 3 interview analysing fake images in the wake of the Almendralejo deepfake case. The company is privately held and, as of the available evidence, operates primarily in the Spanish market.
History
PredictLand AI is a Spanish artificial intelligence and data science company that has been operating as an AI consultancy for business since 2017. From its founding, the company has focused on applying machine learning and, more recently, generative artificial intelligence to practical business problems, positioning itself as a consultancy and solution partner rather than a vendor of off-the-shelf software. Over the years, PredictLand has built a portfolio of applied AI engagements across commercial, operational and corporate functions. Its public case studies describe work on demand forecasting for newly created products, sales forecasting for thousands of products across multiple countries, sales forecasting and inventory optimisation, production forecasting and optimisation, and automatic document classification. A notable industrial engagement involved BSH Electrodomésticos in Spain, the global home-appliance manufacturer whose brands include Bosch, Siemens, Balay, Gaggenau and Neff. For BSH, PredictLand designed a solution to anticipate the reconfiguration and recalibration of a critical manufacturing machine, learning from the machine's behaviour and from the knowledge of the most experienced operators. The solution advised operators on how to reconfigure the machine, improving efficiency and the OEE index of the production line while reducing scrap and configuration-related defects. The data challenge was substantial, with dozens of servos generating readings every two milliseconds, making historical data accumulation and preprocessing a big-data problem. PredictLand has also become visible in the wider Spanish AI ecosystem. The company announced its entry into the IndesIA business association with a challenge proposed by Redeia, and on 27 September it co-organised a pioneering artificial intelligence hackathon in Ávila together with Naturgy and the Fundación Princesa de Girona. Its Director of Operations, Andrés Visús, has contributed to public debate on AI, including an Antena 3 interview analysing fake images following the Almendralejo deepfake case. The company remains privately held and, based on the available evidence, serves clients primarily in Spain.
- 2023
PredictLand co-organises a pioneering AI hackathon in Ávila with Naturgy and the Fundación Princesa de Girona on 27 September.
- 2017
PredictLand begins operating as an AI consultancy for business.
PredictLand designs an AI solution for BSH Electrodomésticos in Spain to predict critical machine configuration and reduce defects.
PredictLand joins the IndesIA business association with a challenge proposed by Redeia.
Products and positioning
Specialist AI consultancy for business, designing custom high-impact AI applications rather than packaged software.
Machine configuration prediction for zero defects
An AI solution designed for BSH Electrodomésticos that learns from a critical machine's behaviour and experienced operators to advise on reconfiguration, improving OEE and reducing scrap and defects.
Demand and sales forecasting
Forecasting solutions for new products and for thousands of products across multiple countries, supporting inventory and production planning.
Automatic document classification
Task automation for classifying and managing documents.
Conversational agents and copilots
Chatbots and copilots for customer service and internal workflows.
Sources3 sources
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