AI-driven semantic data platform for intelligent data use across enterprise
Almato builds Bardioc, a semantic data platform that combines Java, Spring Boot, and Go with Microsoft Power Platform and Azure cloud services. The tech stack reveals a hybrid approach: deep backend infrastructure (Java/Spring, Kubernetes, Docker) paired with low-code/no-code frontends (Power Apps, Power BI, Power Virtual Agents), suggesting a strategy to serve both technical data teams and business users. Engineering dominance in hiring (13 of 17 active roles) with senior-skewed seniority distribution points to product hardening and deployment complexity rather than growth-stage hiring.
Almato AG, based in Stuttgart, develops Bardioc, an AI-powered semantic data platform for organizations across industrial, public-sector, and defense verticals. The product operates across multiple deployment models, including Platform as a Service. Roughly 200 employees support customers through partnerships in data science, security, and solution development. Current project activity centers on Power Platform integration with Microsoft 365 and Azure, proof-of-concept delivery, and sales enablement — reflecting a vendor-partnership sales motion. Internal pain points include customer acquisition, deal closure, and helping clients identify where modernization and data-pipeline restructuring apply to their operations.
Almato's stack spans Java, Spring Boot, Go, and Kubernetes for backend systems; Angular and Vue for frontends; Microsoft Power Platform (Apps, BI, Virtual Agents, Automate) and Azure (Functions, Logic Apps, Dataverse) for integration; and AWS, Docker, and GitHub Copilot for deployment and development tooling.
Current projects focus on Power Platform integration with Microsoft 365 and Azure, proof-of-concept delivery for Power Platform solutions, sales cycle management, and architecture/governance frameworks for platform adoption.
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