The world is moving faster than ever, and product teams are struggling to keep up.
Building, training, and deploying AI models is still a long, fragmented process. It can take years to accomplish, relies on scarce and expensive talent, and is riddled with risk. This "artisanal bottleneck" is holding back a new generation of intelligent products from reaching the market.
At Eta Compute, we built a solution to this problem. Our platform automated the complex, manual steps of model creation, allowing teams to move from ‘data in’ to a production-ready ‘model out’ in weeks, not years.
Our technology has evolved far beyond the “edge,” and our vision has grown to encompass every device where intelligence needs to run locally. That’s why we’ve made a change that better reflects our mission and ambition.
We are now ModelCat.
The Strategic Shift: From a Tool to a Foundational Layer
The shift from Eta Compute to ModelCat is more than a name change; it’s a reflection of our expanded vision. The future of AI doesn’t just live on the Edge; it lives directly on every device. We are building the foundational model-build layer for all AI development, and our new name signals our commitment to this broader market.
This is a critical distinction. The next generation of products — from autonomous vehicles and smart robotics to advanced consumer electronics — won’t be built with scattered tools and manual processes. They will be built on a platform that automates the hardest part of the AI development lifecycle.
Our mission is to become as indispensable to AI engineers as GCC or LLVM are to software developers. We believe that in the same way modern software is assembled on a robust foundation, all future intelligent products will rely on an automated, end-to-end AI model builder.
What This Means for Our Customers and Partners
For our customers, this change simplifies everything. The name of our company is now the name of our platform, unifying our brand around the single, powerful idea of "Data In, Model Out." It represents our commitment to making AI model development accessible and effortless.
For our partners and investors, this change clearly signals our strategic focus. It elevates the conversation from technical features to market leadership. We are building a platform that makes high-performance AI, running directly on any device, deployable without compromise. This is a massive market opportunity, and we are uniquely positioned to win it.
Our progress to date is a testament to this vision. We’ve already earned the trust of some of the largest chip companies in the world, and we’re excited to soon announce a major partnership that validates our role as a foundational layer.
Thank you for being part of this journey. We are just getting started.