Company Performance Metrics
- Jason Grad: Co-Founder and CEOPast Role: RCVR, Co-Founder
Brian Kennish: Co-Founder and CTOPast Role: Disconnect, CEO
As AI systems consume the public web faster than it can be cleanly delivered, Massive operates the access layer that keeps that data flowing. The demand has two shapes. First, training: frontier and applied models need web data at a scale and geographic spread that ordinary collection methods cannot sustain without getting blocked or geo-cloaked.
Second, grounding: agents, retrieval pipelines, and AI answer engines need real-time access to live pages so their outputs reflect what is actually on the web right now, not a stale index. Massive serves both from one foundation. A network of real consumer devices in 195+ countries routes requests as organic local traffic, so destination sites return the same content a real user in that geography would see. On top of that network sits the Web Render API, which delivers fully rendered pages, search-engine results with AI Overview and People-Also-Ask retrieval, and completions from frontier models returned with their sources, all available as first-class markdown built for LLM prompts. The network is ethically sourced, with every device opted in through the Massive SDK, and the platform is SOC 2 audited, GDPR compliant, and AppEsteem certified, with a full audit trail from source to request. Massive helps AI labs, agent builders, answer-engine and RAG teams, and large-scale data operations turn the live web into clean, dependable input without fighting blocks, geo-restrictions, or the brittleness of stale data.
