Datashaper

DataShaper is a data infrastructure-as-code platform headquartered across Berlin and Paris that uses AI agents to automatically configure, scale, and govern databases and data pipelines in response to real workload demands and changing data volumes. Rather than requiring data engineering teams to manually tune infrastructure as query patterns shift, data volumes grow, and organizational requirements evolve, DataShaper's agents continuously monitor usage signals and adjust configuration autonomously — reducing the operational overhead that has come to consume significant portions of data teams' working time at growing technology companies. The platform's European identity is explicit and architecturally embedded, not simply a marketing claim. DataShaper's systems are natively compliant with both the EU Data Act and the EU AI Act, ensuring that sensitive data remains within certified infrastructure perimeters and that AI-driven configuration decisions generate the audit trails, explainability records, and transparency documentation that European regulatory frameworks require. For enterprises operating under GDPR and sector-specific regulations governing data residency and processing, this native compliance posture is not a secondary feature — it is a prerequisite for deploying any AI-driven infrastructure tool on sensitive production data, and it is a requirement that many American-headquartered data platforms were not architected to meet from the ground up. The infrastructure-as-code paradigm that DataShaper builds on treats data infrastructure configuration as version-controlled, peer-reviewed code rather than a collection of GUI-managed settings that exist only in the platform's own database. This brings to data infrastructure the same software engineering discipline — testing, reproducibility, rollback capability, change tracking — that application development teams have standardized on over the past decade. DataShaper adds an AI automation layer on top of this foundation, enabling configurations to adapt to changing conditions within policy-defined boundaries without requiring constant human intervention or manual configuration review. A €6.5 million seed round led by European deep tech-focused investors provides the capital to develop the platform's edge computing capabilities and accelerate enterprise market penetration. The timing aligns with a growing and increasingly urgent appetite among European enterprises for data infrastructure that satisfies both demanding performance requirements and the tightening regulatory environment around data sovereignty and AI governance. This combination — high performance and native European compliance — is one that purely American-headquartered data infrastructure providers are structurally and geographically less equipped to offer with the same level of built-in assurance, creating a meaningful commercial opening for a platform built from the start with European regulatory requirements as first-class design constraints.