Data platform and IoT integration for industrial digitalization
Inkoova builds data and IoT solutions for industrial manufacturers pursuing Industry 4.0 transformation. The stack reveals a company in active transition: adopting BigQuery, Informatica Cloud, and vector databases (Pinecone, Chroma, Weavelet) while integrating LLMs (OpenAI, Anthropic, Mistral) via RAG pipelines and third-party APIs. Copilot adoption is underway with enterprise clients, but internal pain points cite low AI tool adoption and organizational fear — a pattern common in legacy-heavy sectors where engineering velocity must outpace cultural inertia.
Inkoova is a Barcelona-based software and data platform company founded in 2018, operating across IoT, big data, and predictive maintenance for industrial clients. The product surface spans data migration (legacy ETL to cloud), real-time analytics (GCP + Kafka + BigQuery), and emerging LLM integration for domain-specific use cases. Current hiring is concentrated in engineering and data roles, with modest team size (51–200 employees) and all recruitment in Spain, suggesting a tightly knit, Madrid/Barcelona-anchored operation. Active projects in microservices, data modeling, and RAG pipelines indicate a shift toward API-first architecture and generative AI.
Core: Python, Go, React, GCP, Kafka, SQL. Analytics: Power BI, BigQuery (adopting), Informatica Cloud (adopting). AI/LLMs: ChatGPT, OpenAI, Anthropic, Mistral. Adopting vector databases: Pinecone, Chroma, Weaviate.
IoT and big data projects, predictive maintenance platforms, BigQuery/Informatica Cloud migration, RAG pipelines, LLM integrations, microservices backend, and GitHub Copilot adoption for high-level clients.
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