Massive sells real-time web access to AI agents, scrapers, and data pipelines. Every customer request hits their infrastructure twice: on the way in and on the way out. Running that workload on a hyperscaler means paying egress fees on every byte served. DataPacket’s unmetered bandwidth plans, direct cloud peering, and dedicated bare metal gave Massive the infrastructure to scale without the per-GB tax punishing growth at every step.
Massive is a real-time web access platform for AI agents, scrapers, and data pipelines, powered by a global network of millions of consenting volunteer devices across 195+ countries.
Massive sells real-time web access to AI agents, scrapers, and data pipelines. Their customers point requests at network.joinmassive.com, and Massive’s infrastructure forwards each one out through a network of millions of consenting volunteer devices in 195+ countries, fetching live webpages, rendered HTML, and structured search results.
The math is simple: every customer request hits Massive’s infrastructure twice: once on the way in, once on the way out. That infrastructure better be fast, predictable, and cheap to run.
The default move for any infrastructure-heavy startup is to put it on a hyperscaler. Click, deploy, scale. For Massive, that would have been the wrong move for three specific reasons.
Web access platforms face a structural problem with hyperscalers that compounds as they scale.
A web access API that handles AI agents, scrapers, and data pipelines moves serious volume. Every request fetches a real page, sometimes fully rendered. At a cloud giant’s $0.09/GB out, that’s a hidden five-figure monthly tax on a service whose entire job is moving web content.
E-commerce platforms, SaaS dashboards, search engines, financial data providers. They're hosted on the major clouds. If your web access infrastructure also lives in the cloud, every request is cloud to cloud to cloud: cross-vendor egress at one end, public internet routing in the middle, more egress at the other. Three sets of penalties for one round-trip.
A web access platform lives or dies by p99 latency. Massive publishes a <600ms response target. Noisy neighbors in a cloud VM make that hard to hit consistently. Dedicated hardware on a known network path doesn't.
Massive’s web access infrastructure runs on dedicated bare metal in 4 DataPacket locations across key regions, each selected for direct peering with major cloud providers. Since most of the sites Massive’s customers want to reach are hosted on those clouds, keeping the traffic on private network paths rather than the public internet is where the performance and cost advantage comes from.
Latest AMD EPYC servers, NVMe storage, DDR5 memory. No virtualization tax.
No per-GB egress fees. Bandwidth billed on 95th percentile (top 5% of traffic samples excluded).
2x25GE unshared uplinks per server. Traffic pooled across all servers within a region for efficient burst handling.
Direct PNI with major cloud providers. Traffic to cloud-hosted targets stays on private network paths, not the public internet.
Real network engineers on a private Slack channel, no tickets.
The infrastructure isn’t the product. It’s what makes the product possible. Massive’s three customer-facing APIs all share the same bare metal foundation:
Proxy access to any site on the public internet, routed through real residential devices in 195+ countries. HTTPS, HTTP, or SOCKS5.
Full browser rendering with JS execution and antibot bypass. Returns rendered HTML or markdown optimized for LLM consumption.
Structured Google SERPs with organic results, AI Overviews, PAA, and sitelinks, geo-targeted from real locations.
Running web access workloads on egress pricing can get expensive very quickly. With DataPacket, we get all the throughput we need and know what we’ll pay each month. It sounds like the most basic thing in the world, but after you’ve tried scaling a network business on per-GB billing, it makes all the difference.
Our business is growing 4-5x YoY. If we were running on a hyperscaler, our infrastructure bill would scale the same way. With DataPacket, we get predictable, flat monthly rates that don’t punish us for succeeding, so we can focus on growth instead.
Massive’s business is built on a simple promise: real-time web access that is fast, reliable, and economically predictable. That promise only holds if the infrastructure underneath works the same way.
Running on dedicated bare metal with flat-rate bandwidth means the unit economics don’t deteriorate as the business grows. When Massive adds customers, they add servers. The bill scales with hardware, not with traffic. For a company growing 4-5× year over year, with three bandwidth-heavy APIs all pulling in the same direction, that distinction is not a nice-to-have. It is what makes the model work.
A billing model that charges per gigabyte, i.e. cloud egress, turns every new customer into a cost problem. A flat-rate model, i.e. a bandwidth plan, turns every new customer into margin. The infrastructure is not what Massive sells, but it is what makes selling it sustainable. This is how Massive scales customer demand sustainably, without letting cloud costs erode the model.