Massive Made the 2026 Inc. 5000. Our Customers Put Us There.

On August 11, 2026, Inc. published its annual ranking of the fastest-growing private companies in America. Massive came in at No. 217 of 5,000, and No. 16 within Artificial Intelligence & Data (Inc., 2026).

We're grateful, and we want to be accurate about why. Inc. ranked us on revenue growth, and revenue is simply the record of who chose us and then chose us again. That was you.

So before anything else: thank you.

Key Takeaways

• Massive ranked No. 217 of 5,000 on the 2026 Inc. 5000 and No. 16 in Artificial Intelligence & Data.
• That category posted a 279% median three-year growth rate, the highest of any industry on the list, against a 130% median list-wide (Inc., 2026).
• Inc. measured revenue growth from 2022 to 2025, a window whose base year closes before ChatGPT shipped.
• Demand for live web access rose while the web itself became permissioned.

We Didn't Set Out to Be the Biggest

We wanted to build a Massive network and do it the right way. We didn't set out to be the biggest.

The usual way to compete in this category is on the size of a number. Biggest pool, most IPs. We went a different way, partly because that number is hard to plan against. Residential IPs rotate as people move between networks, so a count taken today doesn't describe tomorrow. We report active devices instead, because that unit behaves consistently: over a million verified residential devices, each one a real person's phone, laptop, or TV (Massive docs, 2026).

So we spent the time on the parts that are hard to retrofit later. Real consumer devices in 195+ countries, each one opted in. Geographic targeting down to the city. Sticky sessions that hold the same egress for up to twelve minutes (Massive docs, 2026). A rendering stack that returns clean markdown rather than making you strip HTML yourself. An audit trail that runs from the source device to the request.

That took longer than the alternative. For a few years it wasn't obvious the difference mattered to anyone outside the building.

This Is Your Ranking More Than Ours

In 2026, Inc. ranked its honorees purely on revenue growth from 2022 to 2025 (Inc., Inc. 5000 Methodology, 2026). Not funding, headcount, or press coverage. Revenue, which means customers.

Somebody ran a benchmark against their current vendor and read the results honestly. Somebody argued for us in a procurement review they didn't have to win. Somebody stayed through an incident, told us plainly what broke, and gave us the chance to fix it. That's what Inc. measured.

We should say something about our own team too, because customers tend to mention it before we do. Buying infrastructure is usually a slog. Our sales team has made it close to the opposite. Straight answers about what Massive does well and where it doesn't fit. No pressure. A benchmark you run yourself, in your own environment, against whatever you use today. They're a genuine pleasure to work with, and more than a few of you have said the buying experience is why we got a serious look at all. They deserve the credit for that.

Back to you, though. The teams behind this ranking work across a dozen industries. We won't name them, because their infrastructure choices are their business and not our marketing copy, but the range is worth seeing:

• AI answer engines and assistants
• Agent platforms that complete tasks on the open web
• Search and brand-visibility analytics
• E-commerce and marketplace pricing intelligence
• Retail competitive intelligence and assortment tracking
• Travel and hospitality rate aggregation
• Cybersecurity and threat intelligence
• Brand protection and anti-counterfeiting
• Advertising verification and media measurement
• Market research and consumer insights
• Financial and alternative data research
• Academic and public-interest research

Different problems, one shared need. Each of those teams has to see the live web the way a real person somewhere specific sees it, and needs that to keep working on an ordinary Tuesday.

Why Did This Category Grow So Fast?

In 2026, Inc. reported Artificial Intelligence & Data as the top industry on the list by revenue growth, at a 279% median, ahead of Consumer Products at 209% and Automotive at 204%, against 130% across the full list (Inc., 2026).

Inc.'s window is worth noticing. It starts with 2022 revenue, and 2022 closes before ChatGPT shipped that November. The base year is the last full year of the pre-LLM economy, and the end year sits in the middle of the agent buildout.

In between, three things multiplied how often a machine has to reach a live website.

• Grounding stopped being optional. A model answering from memory is a liability in any product with a support inbox.
• Answer engines fan out. One human question becomes many machine requests.
• Agents traverse rather than read. They walk a path through many pages and retry when a step fails. Stanford's 2026 AI Index put OSWorld agent accuracy at 66.3%, up from about 12%, which still leaves roughly one attempt in three to retry (Stanford HAI, Chapter 2: Technical Performance, 2026).

The volume shows up elsewhere too. Across April, May and June 2026, DataDome counted 17.7 billion AI agent requests, up 45% from the prior quarter (DataDome, July 2026).

Meanwhile the web got harder to reach. On July 1, 2025, Cloudflare announced what it called the first default block on AI crawlers by a major infrastructure company (Cloudflare, July 2025). New domains moved onto a permission model. Publishers setting terms on automated access is legitimate, and arguably overdue. Our own concern is narrower, and our CEO Jason Grad has made that case in why the web needs a front door. Our industry, us included, never built the standards that would have earned it a seat at that table.

Demand climbing while access tightened is the whole story of the last three years. It's also why reaching a page reliably stopped being a scripting problem and became infrastructure.

What You Asked Us to Build

Nearly everything we shipped in that window started as someone describing a problem clearly enough that we could build the general version.

• Output shaped for models, not browsers. The Browsing endpoint returns format=markdown alongside rendered and raw HTML.
• Both timing models. Sync for an agent waiting on an answer, async queue-and-retrieve for pipelines moving volume.
• Geography as a first-class parameter. Country, subdivision, and city, because a price and an AI answer both change depending on where the request appears to come from. The same URL isn't the same page in Ohio and in Osaka.
• A new endpoint for a new question. The AI chat endpoint returns completions from ChatGPT, Gemini, Perplexity, and Copilot with sources and the subquery fan-out attached.
• Support as part of the product. Slack access and direct engineering contact rather than a ticket queue. It isn't a feature, and it's the thing customers mention first.

We're glad about that list. We'd just rather be honest that we didn't dream it up alone.

Most of the Demand Hasn't Arrived Yet

The growth so far has come from early deployments. Stanford's 2026 AI Index found 88% of organizations now use AI in at least one business function, and 70% use generative AI. Agent deployment still sits in the single digits across nearly every function (Stanford HAI, Chapter 4: Economy, 2026).

When that third number starts moving, the constraint won't be model quality. A better model still can't read a page it isn't allowed to fetch. That's the part we intend to keep working on.

Built This Way Since 2018

Massive started in 2018 as an app-monetization SDK, where users of participating apps traded a slice of unused compute for premium features. The consent architecture came first, years before anyone needed a supply-chain story for AI data. Every device in the network opted in that way, and the network is SOC 2 audited, GDPR compliant, and AppEsteem certified, with an audit trail from source to request (Massive, 2026).

There were quarters when that looked like the wrong call. Building consent infrastructure is slower than buying supply, and for a while the market didn't clearly reward the difference.

You rewarded it. That's the part we won't forget.

We set out to build this right rather than big. You made building it right thrivable, and you're the reason there's an Inc. 5000 ranking to write about at all.

Thank you, sincerely. Back to work.

Sources

• Inc., 2026 Inc. 5000: Meet the Fastest-Growing Private Companies in America, retrieved 2026-08-17, https://www.inc.com/inc5000/2026
• Inc., Inc. 5000 Methodology: How We Selected These Companies, retrieved 2026-08-17, https://www.inc.com/inc-5000-methodology-how-we-selected-these-companies.html
• Stanford HAI, 2026 AI Index Report, Chapter 4: Economy, retrieved 2026-08-17, https://hai.stanford.edu/ai-index/2026-ai-index-report/economy
• Stanford HAI, 2026 AI Index Report, Chapter 2: Technical Performance, retrieved 2026-08-17, https://hai.stanford.edu/ai-index/2026-ai-index-report/technical-performance
• DataDome, The AI Traffic Report Q2 2026, July 16 2026, retrieved 2026-08-17, https://datadome.co/threat-research/ai-traffic-report-q2-2026/
• Cloudflare, Cloudflare Just Changed How AI Crawlers Scrape the Internet-at-Large, July 1 2025, retrieved 2026-08-17, https://www.cloudflare.com/press/press-releases/2025/cloudflare-just-changed-how-ai-crawlers-scrape-the-internet-at-large/
• Massive, Residential Proxies Introduction, retrieved 2026-08-17, https://docs.joinmassive.com/residential/introduction
• Massive, Web Render API: AI chat endpoint, retrieved 2026-08-17, https://docs.joinmassive.com/web-render/ai
• Massive, About Massive, retrieved 2026-08-17, https://www.joinmassive.com/about-us