Altertable

Altertable is a technology company developing an AI-native, proactive data platform designed to reinterpret how businesses interact with and extract value from their data. Founded in 2025 by Sylvain Utard, Kevin Granger, and Yannick Utard, the Paris-based startup aims to address the complexities and reactive nature of the modern data stack. The founding team brings significant experience from scaling prominent tech companies; CEO Sylvain Utard was the first hire at Algolia and a leader at Sorare, Kevin Granger was the third hire at Algolia, and Yannick Utard has a background as a software and reliability engineer at Sorare and Front. Their collective experience with the frustrations of disconnected tools and costly infrastructure directly informs Altertable's mission.

The company is building what it describes as a data operating system. This system features a fleet of AI-driven data copilots—autonomous agents that perform tasks like drafting queries, scanning for anomalies, and generating instant commentary without waiting for human commands. The platform's goal is to move beyond reactive dashboards and static reports, instead providing continuous, actionable insights. It is engineered to unify business and product data, creating a shared context for teams and reducing the time it takes to get answers from days to minutes. To achieve this, Altertable collapses the typical data workflow by offering native warehousing capabilities, while also supporting federated querying for clients with existing data infrastructures. A core component is a unified, AI-native runtime that integrates business semantics, allowing the system to understand concepts like MRR or churn directly. The technical architecture leverages technologies like Apache Iceberg and DuckDB.

Altertable emerged from stealth in June 2025 with a €2.5M ($2.86M) seed funding round led by 20VC, with participation from Kima Ventures and Drysdale Ventures. This capital is intended to accelerate product development and scale operations. The company targets modern data teams and decision-makers in engineering, product, and business functions who are encumbered by slow, fragmented data tools. The business model appears to be SaaS-based, providing its platform as a service to clients. By automating the grunt work of data analysis, Altertable enables companies to maintain lean teams and ensures their data assets are perpetually active in generating value. Keywords: AI data platform, autonomous agents, data copilots, proactive analytics, data operating system, unified data platform, Sylvain Utard, federated querying, data anomaly detection, real-time data commentary, business intelligence, data analysis automation, data stack optimization, Apache Iceberg, DuckDB, continuous insights, semantic layer, data warehousing, AI-native runtime, data observability, 20VC, Kima Ventures, modern data stack