Bonnard.dev Launches Agent-Native Analytics Platform

Bonnard.dev is entering a market that is rapidly expanding as businesses shift from traditional automation to agentic AI. By 2026, it's predicted that over 40% of enterprise applications will have AI agents specific to certain roles integrated into them. This shift is creating a demand for platforms that can manage and govern these autonomous systems. The platform functions as a semantic layer, which translates complex data into business-friendly terms. This is crucial for AI agents that need to investigate and act on data autonomously. A semantic layer ensures that all queries, whether from an AI agent or a human analyst, are consistent and governed by the same rules. Bonnard.dev's platform allows data teams to define metrics once, and then those metrics can be reliably used by various AI tools. The founder of Bonnard.dev, Max Mealing, is a multi-time founder with a background in building companies and writing code. His philosophy for Bonnard.dev is to simplify the process of making data accessible to AI agents, enabling deployment in minutes rather than quarters. The rise of agent-native analytics addresses a key challenge in the AI-driven enterprise: the need for a reliable and governed way for multiple AI agents to interact with and interpret data. As companies increasingly rely on AI for tasks like social media analysis and location intelligence, ensuring the accuracy and consistency of the underlying data becomes paramount. Platforms that provide a semantic layer, like Bonnard.dev, aim to be the single source of truth for these autonomous systems.