
MaestroHub
Industrial data governance platform for manufacturing insights.
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MaestroHub provides a data governance platform that creates a unified namespace for industrial data, aiming to reduce integration complexity and provide real-time insights for manufacturers. Founded in Istanbul, Turkey, on January 25, 2023, by Yasir Tunçer (CEO), Barış Velioğlu (CTO), Aras Yiğit Çakmak (Chief Delivery Officer), Fevzi Murat Solmaz, and Ongun Demirler, the company was established to address challenges in industrial digital transformation. The platform was developed within Digitheta Yazılım ve Danışmanlık before being spun off as MaestroHub. The team's combined experience of over 40 years in software development, data acquisition, and project management informed the product's creation.
The company operates on a B2B SaaS model, offering its platform to manufacturers in sectors like automotive, textile, and food. Its primary service is creating a single source of truth (SSoT) by connecting disparate Information Technology (IT) and Operational Technology (OT) data sources. This is achieved through a no-code, drag-and-drop interface that connects to over 35 industrial protocols, allowing users to compose and orchestrate data flows. The platform features real-time data preparation, automated contextualization, and self-diagnostic capabilities to ensure data quality and visualize data lineage. By creating a unified, intelligent data layer, MaestroHub aims to reduce integration efforts by up to 80% and empower non-technical domain experts, or "citizen analysts," to derive insights without deep data science knowledge.
MaestroHub's technology stack is built on open-source solutions, including Go, Node.js, Vue.js, MongoDB for metadata storage, and a Kubernetes-based architecture, allowing for on-premise, cloud, or hybrid deployments. The system uses a Unified Namespace architecture to organize data, often structured according to the ISA-95 hierarchy, and provides real-time diagnostics using tools like Prometheus and Elasticsearch. The business model involves annual license fees for Standard and Enterprise plans, with pricing based on the number of managed processor cores rather than user limits or data transfer volumes. The company secured €600K in a funding round in April 2025, with investors including Fark Labs and Cevher Group, to facilitate its expansion into the U.S. and German markets and to enhance its industrial AI capabilities.
Keywords: industrial data governance, unified namespace, single source of truth, IT/OT convergence, manufacturing analytics, DataOps, real-time data insights, data integration platform, no-code data flows, citizen analyst enablement, ISA-95, Industry 4.0, industrial IoT, data contextualization, self-diagnostic data, predictive maintenance, operational intelligence, digital transformation manufacturing, process optimization, asset performance management