Data is where
the work begins.

Elebush is a data company built for frontier AI. Finding, cleaning, and preparing high-quality training data. We take that burden off frontier labs, so their teams can spend their time training and improving models instead of wrestling with data.

Data quality compounds. Messy, inconsistent, or poorly reviewed data doesn't just slow teams down, it can drive up compute costs, lengthen training cycles, and force labs to spend extra rounds cleaning and re-cleaning what they already have. We solve this at the root. Our data is reviewed thoroughly and consistently before it ever reaches a lab, which means less noise, fewer errors, and far less rework once training begins. Cleaner data trains faster, wastes less compute, and can get labs to a working model in fewer iterations which is where the real cost savings show up.

We see ourselves as an extension of every research team we work with, not just a vendor they buy from. Labs shouldn't need a small army dedicated to data hygiene before they can even start training. That's the work we take on, so they don't have to.

At our core, we believe better data is one of the highest-leverage investments a lab can make in its models. That's the standard we hold ourselves to on every dataset we deliver.