Companies should be able to ask any question of any real-world data set, even massive ones, and get an answer instantly. That's the future we're building.

We're starting with security teams, who face this problem most acutely: searching massive log volumes to detect threats, investigate incidents, and hunt compromised systems. We're expanding to infrastructure, DevOps, and SRE teams facing similar challenges across observability data and system logs. Ultimately, any team working with large-scale data should have instant answers.

Scanner is a Security Data Lake that lets teams search and detect across petabytes of data in seconds, retain everything forever, and maintain full custody of their data.

Companies like Ramp, Notion, BeyondTrust, and Confluent use Scanner to analyze more security data, faster than ever before. Our customers span fintech, healthtech, AI, and banking, and the market is pulling.

We're also the Security Data Lake built for AI. More than a quarter of our customers have built agents on Scanner since we launched MCP support, powering automated investigations, detection engineering, and alert triage. Traditional systems are too slow and expensive for AI to iterate on. Scanner isn't.

We're 25 full-time, funded by Sequoia, CRV, and Mantis VC, and growing fast. You'll join a high-trust team where your work shapes our story, pipeline, and revenue trajectory.