Crustdata secured $6 million in seed funding to power real-time data infrastructure specifically designed for AI agents that need live, actionable intelligence rather than static datasets.

The Y Combinator-backed startup addresses a fundamental bottleneck: autonomous agents require fresh data to make effective decisions, but most existing data sources provide outdated snapshots that limit agent capabilities in dynamic business environments.

The Stale Data Bottleneck

Enterprise AI agents face a critical infrastructure gap between the speed of business change and the freshness of available data. Traditional data providers update company and people information weekly, monthly, or even quarterly—leaving agents operating on obsolete intelligence when tracking funding rounds, executive moves, hiring patterns, or market developments.

Conversations generate 5 times more words annually in the workplace than exist on the entire internet, yet this massive dataset remains largely inaccessible to AI systems. Recall.ai just raised $38 million in Series B funding led by Bessemer Venture Partners at a $250 million valuation to solve what may be the most overlooked infrastructure bottleneck in enterprise AI deployment.

This isn’t about building better AI agents—it’s about giving existing agents the conversational context they need to be useful. When an AI needs to update a CRM after a sales call or draft follow-up emails based on meeting discussions, the challenge isn’t intelligence; it’s accessing the conversation data in the first place.