The models keep getting better, and the gap keeps growing between what they can do in a demo and what they deliver inside a company. Getting real value out of one means it has to work the way your teams work and clear the quality bar your customers already hold you to.
A frontier model arrives knowing none of that. It wasn't built on your data and it hasn't seen how decisions get made in your business. Nothing it does for you today makes it any better at your problems tomorrow.
We started Pebble because we believe a company's intelligence should be built for that company and owned by it.
Our work is turning what your teams already do into models that do it with them. We build training environments out of your workflows and your performance criteria, and the models we train inside them come out designed to keep improving on the job.
The difference between a capable model and one you would trust with the work is the depth of context behind it. That context already exists in your company, sitting in the records of work done and judged, and it is the most valuable training data you will ever have.
We help you capture it, train against your own workflows and standards, and put the results into production next to your experts. Every piece of work the system completes comes back as training signal, so its judgment sharpens with use until whole stretches of the workflow run on their own. All of it stays inside your environment, under your control.
Better base models lift everyone at once, so on their own they decide nothing. The companies that pull ahead will be the ones compounding intelligence of their own on top of that rising floor, with systems that widen the gap every week because they are learning from experience nobody else has. Our job is to bring the infrastructure and the people that make that possible.
If that is the future you want your company in, write to us ⌝. A sentence about the work is enough to start.