Company: Hydrolix
CEO And Co-founder: Marty Kagan
Website: https://hydrolix.io/
About Hydrolix
Hydrolix is a Portland, Oregon-based real-time data platform for operational intelligence at internet scale. Founded in 2018, Hydrolix addresses the two scale barriers facing observability and security platforms: global scale and real-time performance. The platform delivers real-time analytics that get you insights in seconds across globally distributed data at internet scale—from servers and microservices to AI agents—while enabling years of retention through next-generation compression.
For AI, Hydrolix Bot Insights is a visibility and intelligence solution that helps organizations understand, manage, and act on automated bot, AI, and agentic traffic hitting their websites and digital infrastructure. It gives organizations unified long-term visibility into bot behavior across major CDNs, provides role-based diagnostic dashboards and workflows, baseline-delta intelligence, and SIEM correlation capabilities, enabling security, SEO, and edge operations teams to move from detecting bots and agents to unifying quickly on which are wanted or not, and what to do about them.
Bot Insights reduces incident attribution time by 95%, cuts bot-driven infrastructure costs by 20–30%, and for the first time gives security, operations, and SEO teams a shared source of truth for strategic bot management and ROI validation without requiring each team to build bespoke reports. Alongside the enhanced dashboards, Hydrolix is releasing publicly available Claude skills for Bot Insights, making AI-powered bot investigation a first-class citizen of the product experience. The public skills enable customers to interrogate their bot and agentic data through natural language, moving seamlessly from dashboard to conversational analysis within their existing Claude workflows.
Hydrolix is also the underlying infrastructure for the Agentic Intelligent Operations for Streaming Media, an AWS reference architecture. The solution, built on Amazon Bedrock AgentCore and the AWS Strands SDK, showcases how AI agents can monitor, troubleshoot, and resolve streaming quality failures autonomously, and in seconds, when connected to full-fidelity, real-time data. It brings together specialized AI agents, each assigned to a distinct layer of the delivery chain: contribution, transcoding, distribution, and viewer experience. These agents communicate, correlate signals, and surface resolution paths, not after the fact, but while the event is live.
Hydrolix is the data foundation that makes this possible. Via its newly available MCP (Model Context Protocol) server, Hydrolix gives Amazon Bedrock agents direct, natural language access to complete telemetry from Amazon CloudFront, AWS Elemental MediaLive, AWS Elemental MediaTailor, and AWS Web Application Firewall (WAF). Queries that would previously require hours of data analysis return in seconds, enabling agents to detect failures, identify root causes, and implement targeted retention strategies in real time.
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