What we do
Bucket Robotics is the trust layer for physical production. We turn CAD files into production-ready computer vision models that detect defects instantly with zero manual labeling and no multi-month pilots.
While the industry has struggled for decades with fragile rule-based vision systems, we use high-fidelity synthetic data to simulate every possible defect and lighting condition before the part even hits the line. We help factories ship better products starting on day one.
We believe manufacturing knowledge should be portable, inspectable, and reproducible across factories.
How we work
These aren't aspirations. They're how we make decisions when no one's looking.
Be a builder. Build systems, relationships, knowledge, and the company itself. We hire people who create, hack, improve, and refine. We look for those who act with high agency when the path isn't drawn yet. Ambiguity is the default state of an early company; treat it as raw material rather than a problem someone else needs to solve first.
Generalists compound. Our product is vertically integrated, spanning CAD ingestion, synthetic data generation, model training, edge deployment, customer-facing tooling, and ops. There is infinite depth in every layer. The opportunity here isn't to know a little of everything; it is to be a generalist who keeps going deeper across a stack that won't run out of interesting problems for the next decade.
Bias toward the physical. Get on planes. Stand next to the machine. Watch the operator use the thing. The best product instincts in this company come from a factory floor rather than a Figma.
Velocity is a moat. We experiment before we discuss. A thirty-minute meeting about whether a thing will work usually loses to a thirty-minute prototype that just tries it. We prototype aggressively. LLMs, scaffolding, and rough drafts help us skip the parts that do not deserve perfection yet, so we can spend real craftsmanship where it matters. This ensures we have time for the parts that do.
Write the ontology before the code. Names matter. Schemas matter. A clean data model saves a year of refactors. We argue about nouns on purpose.
No heroes, no martyrs. Sustainable urgency, not crunch theater. Take the weekend. Then come back and ship.