That is what we build: the models, workflows, and infrastructure that let a team ship fast without shipping regressions. Measured outcomes from this quarter's client work, below.
For a lending and collections company, we built a model that sends each borrower's message at their most responsive moment instead of on a fixed schedule. Click-through rose 40% over a randomized baseline, and keeps outperforming it live.
For a consumer AI music-video product, we removed a paid lip-sync step by carrying the song straight into generation. Each render now costs less, finishes sooner, and has one fewer thing that can fail.
For a creative marketplace, bulk intake and reusable assets replaced a twenty-form, 120-upload catalogue process with a single submission, and let creators reuse what they make instead of rebuilding it each time.
We built an evaluation studio across nine models and four vendors, so identity drift and regressions are caught on reproducible evidence before customers ever see them.
Java to Python, verified against the real clients and cut over without freezing releases or rolling anything back.
This year the team grew to 20, and shipped to production every week of the quarter.
Products that are born out of our AI-first workflows.
StenoMeeting notes that write themselves, clean and searchable when the call ends.steno.unravel.tech ↗ thingShip your coding agents' output as live, commentable, versioned pages. This letter runs on it.usething.ai ↗ TabloKeeps a human in the loop on your AI coding agents, live from the corner of the screen.tablo.unravel.tech ↗Thirty minutes, and we'll tell you straight what it takes, what it's worth, and how fast we can do it.
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