In engineering, we have a saying: “In a world of imperfect choices, it’s not always about finding the right answer… sometimes it’s about identifying the least wrong one.” What makes an answer less wrong? It’s simple: access to the facts. The more comprehensive and reliable your data, the “less wrong” your answer appears, and ultimately, the more informed your decision-making is likely to be.
The problem is that today, we’re drowning in data, but starved for insights. The sheer volume of information can be overwhelming. It’s siloed, inconsistent, and by the time you’ve wrangled it into something useful, the moment for you to act has passed. Let’s say your boss wants to know the impact of a 10% price increase on your new product line. They need an answer fast. But are you prepared at a moment’s notice to provide the right response? Most people aren’t. Answering business-critical questions like this shortens your timeframe to respond, and not being able to answer quickly can close the window of opportunity.
This is the challenge that gets me up in the morning. And it's a challenge we've been tackling at Anaplan for over a decade, not by chasing trends, but by focusing on underlying mathematics.
“AI at the core” isn't a slogan — it's our architecture
Long before "AI" became mainstream, we were building a platform based on its fundamental principles. At the heart of Anaplan is not a generalized, off-the-shelf data repository, but a powerful linear algebra engine. This is the same math that neural networks and large language models are built on.
This architecture allows us to operate on a scale that was unimaginable in the recent past. We currently have over 2.1 million planning models in production for our customers, running on half a million CPUs and managing 7.3 petabytes of models in storage. Our largest model today spans 55 quintillion cells, and we can still deliver an average user interaction in 2.3 seconds. To put that in perspective, 18 quintillion is the number of grains of sand on a thousand Earths. This is the level of complexity we handle every day. We’re not just talking about big data. We’re enabling our customers to find a single grain of sand in a universe of possibilities and do it in seconds.
From months to minutes: Introducing Anaplan’s AI agents
Having this powerful foundation allows us at Anaplan to take the next evolutionary step. I’m incredibly proud to announce a new suite of intelligent role-based AI agents. Think of these agents as a group of simulated experts, working tirelessly to gather facts, analyze scenarios, and surface insights so your teams can use the entire breadth of your data to make smarter, faster decisions. We didn’t just bolt on AI when it became trendy; our platform is, and always has been, AI at the core.
These agents are not just chatbots. They analyze data, generate reports, recommend actions, and execute approved changes. They connect finance, supply chain, sales, and workforce, breaking down the silos that lead to bad decision-making. That’s why we call them AI analysts — they’re doing the kind of analysis you’d expect from a human data analyst.
Anchoring this new suite is a true game-changer: Anaplan CoModeler. For years, building sophisticated planning models was a complex, time-intensive process, often taking months. With CoModeler, we've turned months into minutes. Using natural language, business users can now build, extend, and optimize complex planning models with embedded best practices. This isn't just about speed; it's about democratizing the power of our platform, reducing backlogs, and allowing organizations to react to market shifts, supply chain disruptions, or financial risks in near real time.
We were able to build CoModeler because of the precursor AI technology already in our platform. While our competitors are talking about their AI of the future, we’re demonstrating its value in real business use cases today.
The future is autonomous (with human oversight, of course)
This is just the beginning for Anaplan Intelligence. In October, we launched Anaplan Forecaster for more precise, AI-driven forecasting. Later this year, we’ll debut Anaplan Agent Studio, giving you the ability to build your own custom AI agents that reflect the way your business works. And in the first half of next year, we'll introduce our first autonomous agents, capable of identifying anomalies and triggering workflows, always with a human in the loop.
We are living in an era of constant disruption. The ability to adapt isn't just a competitive advantage — it's a basic requirement. We’re ready with the only platform that was built different, with AI at the core to allow you to navigate this complexity with confidence and help you engineer the “least wrong answers,” faster and more reliably than ever before. And that, in my opinion, is how you find the best path forward in a world where every decision matters.
