Starcycle turns real company operational data into reinforcement learning training environments and agentic evaluations.
The data comes from a place nobody else thought to look: from companies at the end, when the founders decide to shut down.
Every company ends. Founders get an enormous amount of support at the start — accelerators, investors, communities, playbooks for every stage. At the end, they get almost nothing.
For the past two years, Starcycle has dedicated thousands of hours to that part of the journey: We’ve helped hundreds of founders shut down faster and with dignity, turning months of legal and administrative grind into several painless days.
And because founders trust us with the wind-down, they trust us with what their companies leave behind. Every operating company produces something N-of-1: tickets, code, docs, deals, support threads, transcripts — records of real people doing real work under real constraints. Normally that record is destroyed.
We give founders one more choice: Let the best of what they built live on, and help the next generation of AI learn how work actually gets done.
Our dissolution business has served hundreds of companies, and has been cash-flow positive throughout its operating history. It is now our operational wedge into one of the most exciting emerging data categories, fueled entirely by trust and an unwavering dedication to serve.
Trusted by founders and operators alike, Starcycle is backed by leading VCs and angels from places like NVIDIA, Google, Meta, and more.
In addition to our ongoing work with founders and their companies’ end of life, we work with partners ranging from frontier AI labs to startups pushing the frontier of what agents can do in pursuit of AGI.
You will be our first dedicated environments engineer.
You'll build and maintain scalable, agentic task-generation pipelines. You'll lean heavily on automation — but you'll know when human baselines and review are non-negotiable, and you're not above labeling the rest yourself.
There's no playbook for this data category. Your judgment and creativity set the standard everything ships against, and your role will fundamentally shape the trajectory of the company.
If you're a high-agency person who wants nothing more than to build, this is the right place for you.