Three $3B B2B Acquisitions in 30 Days: Intercom/Fin, Cognite, and MaintainX. They All Bought the Same Thing: Data for AI

Three $3B B2B Acquisitions in 30 Days: Intercom/Fin, Cognite, and MaintainX

In about a month, three B2B companies recently were acquired for right around $3 billion each. On the surface they have nothing to do with each other:

Salesforce bought Fin(the company formerly known as Intercom) for**$3.6Bon June 15.Autodesk bought MaintainXfor$3.6Bon May 28.Schneider Electric bought Cognitefor$3.1B**on June 30.

One does customer service. One does facility and equipment maintenance. One does industrial data plumbing for oil rigs and power plants. Different buyers, different categories, different continents.

But in many ways, as deals … they are the same deal.

Each one is a legacy platform paying a giant premium to own the proprietary data that makes AI actually work in its domain. Not the model. The data. And when you line up the revenue and growth numbers, a second pattern shows up that’s even more useful: the price each buyer paid tracked one thing above all else, and it wasn’t revenue.

Here’s all three in detail, then what they share, then what it means if you’re building.

Deal 1: Salesforce buys Fin (Intercom) for $3.6B

This is the most interesting of the three once you look under the ARR headline, so it’s worth getting the numbers exactly right.

Fin started life as Intercom in 2011, one of the original darlings of the B2B messaging era. By 2022 it was in trouble: five straight quarters of declining net new ARR, growth approaching zero. Six weeks after ChatGPT shipped, the team had a working prototype of an AI support agent. They bet the company on it, turned over about 40% of staff, and rebuilt around that agent. In May 2026 they renamed the whole company Fin, after the agent. Five weeks later Salesforce bought it.

The number that gets quoted is $400M+ in total ARR. That number hides the actual story. Break it apart:

• The Fin AI agent line crossed $100M ARRand is growing350% year over year (3.5x). - That AI line is roughly a quarter of total ARRand, per Fin’s own disclosures,virtually all of the company’s net new growth. - The other ~$300M, the legacy Intercom seat-based messaging and support business, is close to flat. The whole company reaccelerated from near-zero growth only to the mid-teens, and the AI line is why.
• Outcome-based pricing on Fin pushed net revenue retention from 112% to 146%. - Fin resolves 2M+ conversations a weekacross8,000 customers on the agent, inside30,000+ customerson Intercom products overall. Named accounts include Anthropic, DoorDash, Mercury, Asana, and Riot Games.

So the real shape of the deal: Salesforce paid 9x on the blended $400M, but the thing it was actually buying is a $100M line growing 350%, and a $100M line growing 350% is worth 30x or more on its own. The blended multiple looks cheap only because half the revenue is flat legacy that AI is busy commoditizing.

The strategic logic is the model plus the customers. Fin runs on Apex, a model it post-trained specifically for support, which it claims beats frontier models from OpenAI and Anthropic on resolution. Fin resolves about 76% of support volume with no human, against roughly 62% for Salesforce’s own Agentforce Help Agent. Salesforce has Agentforce growing 205% to $1.2B ARR and still chose to buy the category-definer rather than out-build it. It also removes a competitor and adds 30,000 businesses whose support data now flows through a Salesforce-owned model.

This is the biggest exit ever for an Irish-founded tech company, Salesforce’s fifth acquisition of 2026, and its third in June alone after M3ter and Contentful.

Deal 2: Autodesk buys MaintainX for $3.6B

MaintainX is the youngest of the three and got the richest multiple. Chris Turlica and his cofounders started it in 2018 with a boring, correct observation: the software given to frontline and maintenance workers was stuck in 1995. They built a mobile-first work-order and maintenance app as simple as Slack, aimed at the factory floor.

The numbers:

$3.575Bheadline (Autodesk’s largest acquisition ever), all cash plus new debt, plus**$150M in retention RSUsfor the team.- Entered 2026 at roughly $115M ARR, guided to$135M+ for calendar 2026**, growing50%+. - That’s about 26x forward ARR. - Raised a $150M Series D at a $2.5B valuationin July 2025; total funding was around $243M. 500,000+ frontline workersand11M+ assetsunder management across roughly 8,000 to 11,000 companies.- Targeted close as early as August 3, 2026.

MaintainX didn’t stay a simple CMMS. It kept absorbing adjacent workflow: inspections, safety, asset intelligence, predictive parts, compliance, enterprise asset management. That’s the vertical software playbook run correctly. Start with a stupidly simple wedge, absorb the next workflow, then the data, then the decisioning, and eventually you stop being a tool and become the operating layer.

Autodesk folded it into a new division, Autodesk Operations Solutions, next to its Tandem digital twin and simulation tools. The framing in Autodesk’s own deck is blunt: this adds roughly $40B of Operations TAM on top of Autodesk’s existing $78B Design & Make TAM, and it extends Autodesk’s relationship with a physical asset from a few years of design work to the 50 to 60+ years that asset actually lives.

CEO Andrew Anagnost said it hjimself: AI is only as good as the data it ingests, and MaintainX captures how assets behave under real conditions, which is the context that makes AI accurate and actionable. Design software knows how an asset was supposed to work. MaintainX knows how it actually performs in the field. Nobody at Autodesk could generate that telemetry from design seats. At 26x, they weren’t pricing revenue. They were pricing a data stream they couldn’t build, growing 50%.

Deal 3: Schneider Electric buys Cognite for $3.1B

Cognite is the one most B2B founders have never heard of, and it’s the cleanest illustration of the thesis. Founded in Oslo in 2017 as a spinout of Norwegian industrial conglomerate Aker, it spent nearly a decade on a problem industrial operators rarely talk about: the majority of the data pouring out of factories, grids, and energy assets sits in silos, poorly labeled, and useless to AI.

The numbers:

$3.1B, all cash.$170M+ revenuein 2025, with36% growth in ARR bookingsand fast adoption of its Atlas AI platform. (Worth noting the disclosed growth figure is bookings, a forward indicator, not trailing revenue growth.)- That’s roughly 18x revenue. 800+ employees; total funding around $225M, including a $150M Series B from TCV in 2021 at a $1.6B valuation.- Aker walks away with about $1.48B in cash, near a 20x return, the largest software exit in Norway’s history. Other backers included Saudi Aramco, Accel, and TCV.

Cognite’s two products tell you what Schneider paid for. Data Fusion is the contextualization layer, a unified industrial data model plus a knowledge graph that connects decades of messy operational, engineering, and sensor data. Atlas AI sits on top with generative and agentic capabilities that act on that contextualized data.

Schneider is going to fold Cognite into AVEVA, its industrial software arm (itself built on the 2021 OSIsoft/PI acquisition). The logic is the one every hardware-plus-software incumbent is running into: Schneider sells the switchgear, sensors, and automation, but without owning the data contextualization layer, it depends on a third party every time a customer wants to build an AI workflow on its hardware. That dependency is tolerable when AI is a feature. It’s fatal when AI becomes the product.

The knowledge graph is the moat. A frontier model with no access to a refinery’s actual sensor history is useless to a plant manager. Cognite makes decades of siloed operational data queryable and AI-ready, and that’s not something Schneider could rebuild quickly.