Software & AI Engineering
We build software end to end: new features, full apps, and AI integrations that fit into your existing stack. You get working code, not a proof of concept.
New features, bug fixes, refactors, or starting from zero. We work in whatever stack you're using and leave the codebase cleaner than we found it.
Full builds from scratch — web apps, internal tools, APIs, and pipelines. We scope it, build it, and hand it off running.
Chatbots, document search, summarization, classification, automated workflows. We build AI features into software you already have, in ways that hold up in production.
Most projects fail at the edges of the contract, not the middle. We keep scope visible from day one and build in the kind of checkpoints that make problems cheap to fix rather than expensive to undo.
Before writing a line of code, we get into your data, your stack, and your constraints. One week of discovery: what exists, what's broken, what done looks like.
Short cycles with working code at every checkpoint. You see it running on real data early, so course corrections are inexpensive. No month-long gap before a first look.
We write evals before calling it done. If output doesn't hold up on held-out data or production traffic, we don't ship. Measured results, not a demo that looks good on a Tuesday.
Documented, tested, and runnable by your team on its own. We'd rather you not need us again than leave you with a system that only we understand.
Document question-answering pipeline — raw file in, grounded cited answer out, with charts when the data supports one. Ten single-purpose components connected through a graph reasoning layer.
Next project in progress.
Next project in progress.
We keep the client list short. Every project gets our full attention, not a percentage of it. We take on work we think we can do well, and decline the rest.
Takes about two minutes. No sales follow-ups.