About the company
FrontierRL is building Star, the ultimate LLM for agents.
We are an MIT startup training and serving our own state-of-the-art model. We use it to power computer-use agents that automate real business workflows across browsers, desktop applications, and APIs.
What we make
Star is our own model — not a wrapper, not a reseller. It was built from six years of PhD work in LLM training architecture, distillation, and agent networking theory. Star generates thousands of tokens per second, measured on real OSWorld tasks on workstation GPUs. That speed, on inexpensive hardware, is what makes our agents practical at a fraction of typical model costs.
Star agents click and type across any app, platform, or API the same way a person does. Our public demos show Stars designing presentations in PowerPoint, rebuilding a racecar in CAD, sourcing candidates on LinkedIn, and playing complex real-time games, all on real software.
How teams use it
Currently we are using Star through a Hermes harness for the purposes of benchmarking and proof of concept. API keys are available upon request until we launch on OpenRouter.
We are building an interface for non-developers to train their own Star agents; users would share their screen and show complex workflows across GUIs, talk through the steps they can't show, and drop in the policies, guides, and examples their team already uses. Our Workflow Miner turns that into protocols Star agents can follow. Agents would run hands-free, with approvals and a clear record when you need them. Consider piloting with us to learn more!
Who we are
FrontierRL was built by engineers from MIT, Amazon, and Immunai. We participate in MIT TNT Research and the Together.ai Accelerator.
Contact
Email us at [email protected], or book an intro and show us one messy, high-value workflow your team repeats regularly.
FrontierRL · https://www.frontierrl.com