AIM
Infrastructure does not wait, and right now it is under pressure from every angle that matters. AIM Intelligent Machines is stepping into that pressure out of Redmond and Bellevue, where Adam Sadilek turned a garage-built system into a company now drawing attention across the startup ecosystem. Founded in 2021, Adam Sadilek brought experience from Google and Waymo and applied it to a problem most people ignored because it felt too big to fix. Heavy machinery, the backbone of global infrastructure, had barely evolved while software transformed everything else. That disconnect created inefficiency, risk, and a ceiling on how fast the physical world could actually scale.
The result is aim.vision, an embodied AI platform built to convert existing fleets into autonomous operators without forcing replacement cycles. Bulldozers, excavators, loaders, and graders become software-defined machines through a hardened hardware layer and an AI stack that maps, plans, and executes in real time. No GPS dependency. No fragile connectivity assumptions. Just systems designed to function where conditions break lesser tech. This is not autonomy dressed for demos. This is autonomy designed for mud, heat, vibration, and consequence.
Adam Sadilek is building with intent, not abstraction. The team reflects that. Engineers from Waymo, SpaceX, Google, Tesla, Apple, and Stripe are working alongside operators who have actually run these machines under pressure. Albert Shih, Head of Legal, represents the kind of operator mindset shaping the company internally, where structure follows execution, not the other way around. The company remains lean, but the surface area of what it is tackling is anything but small.
Capital followed conviction. AIM has secured over $50M from Khosla Ventures, General Catalyst, DCVC, Human Capital, Ironspring Ventures, Mantis, and Elad Gil, placing it firmly on the radar of investors tracking real-world AI deployment inside the startup ecosystem. That signal sharpened in January 2026, when the United States Air Force awarded $4.9M in contracts for autonomous base construction and airfield repair. Defense adoption does not move on hype. It moves on capability that holds under constraint.
The broader market context only tightens the narrative. Infrastructure demand is climbing while labor supply strains to keep pace, and the environments where this work happens remain among the most hazardous anywhere. AIM is positioning itself as a capacity multiplier, not a marginal improvement. Mining, construction, defense, climate response. Different sectors, same underlying requirement. Move earth efficiently, safely, and at scale. That is where AIM is placing its bet, and the startup ecosystem is watching closely.
Inside AIM, the bar is set for builders, not spectators. Engineers who want their code to operate machines in the field, not just models in isolation. Operators who understand the reality of job sites and want leverage through autonomy. The company is actively hiring across engineering, field deployment, and commercial roles, with COO and CTO positions still open, signaling a company still shaping its leadership as it scales execution. The opportunity is clear, but so is the expectation.
AIM is not pitching the future. AIM is installing it, one machine at a time, across environments where failure is not an option. Follow the trajectory, explore roles, or step into the conversation while the ground is still shifting beneath it.