How an engagement works

An engagement means Anthus runs the system for you. Your experts stay in the loop, reviewing the cases that matter and shaping what the system learns. When the engagement ends, you own what comes out of it — the model, the pipeline, the board, the record.

Bring us any problem you think AI might solve, even if you can't yet say what you need. Working that out is part of the first month, and it's often the most useful part.

Three examples of where we start

These are shapes engagements often take. They aren't a menu. Most real problems don't fit one box, and we take on AI solutions work of any kind.

Classifier lab on Plexus

We take a high-volume judgment call your team already makes — a score, a flag, a routing decision — and turn it into a classifier with confidence gating: the model handles the clear cases and routes the rest to your reviewers. We've run this pattern for a call-center QA operation across years of production, hundreds of models, and millions of interactions, with expert feedback compounding into a data flywheel the whole time. You get that architecture, sized to your judgment task.

Factory-run software project

We build your software the way we build our own: work tracked as Kanbus issues in the repository, agents doing the implementation, and a human approval trail on every merge. Anthus runs its own projects this way, including this site — the commits are public, so you can see the process instead of taking it on faith.

Newsroom for a publication

We stand up Papyrus as your editorial pipeline: stories move through Kanbus-governed stages from pitch to draft to published, with a human editor approving each move. Anth.us runs its own newsroom on it, and the board is public, so you can read the record behind the newest articles before you buy the pipeline.

What a first month produces

  • A pilot with fixed scope. One judgment task, one project, or one publication track, scoped before we start. If you don't know what you need yet, the first month is discovery, and it ends with a scoped proposal instead of a guess.
  • A scorecard or a board you can inspect. The same record we use internally: accuracy by slice, issues moving through Kanbus, or stories moving through the editorial pipeline.
  • A decision point. At the end of the month you have real evidence to decide whether to extend, expand, or stop.

Tell us the problem, even if it's half-formed, and we'll scope the first month together.

Start an engagement