Software professionals who embrace AI to benefit everyone.

Most enterprise software is asking for your time. The new dashboard. The new approval workflow. The new Slack notification. Each one looks small in isolation; together they consume the part of the day where real work used to live.

We are building the opposite kind of software. Things that stop appearing on the team's calendar. The expense report that just gets done. The handoff note that writes itself. The customer email that is already drafted, accurate, and waiting for a single human read-through. None of these are dramatic on their own. The drama is in the sum: people get their afternoons back.

We are software professionals — engineers, designers, ML practitioners — who have been doing this kind of work for enterprises long enough to know what fails. The patterns that don't survive contact with a real team. The tools that look polished in a demo and die in a deploy.

That experience is not the product; the product is the company itself, holding to a small set of beliefs and shipping software that demonstrates them. The first product is a SaaS that helps companies notice burnout and team friction earlier than retros do — not because we have a clever algorithm, but because we believe that taking care of the people doing the work is itself the work.

We built this company because we wanted to. We will keep it small enough to mean it. If the right consulting opportunity comes along, we'll take it — being a company instead of a portfolio means we can choose. But the products are the heart.