Consulting

We'll show you, by doing the work.

Adopting a new tool across a team is expensive — even when the tool is good. Typhon Consulting flips that. Hand us the work; we deliver it using Typhon on our side. You see what the product can do without your team retooling, training, or sitting through a rollout.

How it works.

Three steps. No internal change-management project required.

01

Tell us what needs doing

A backlog you don't have time to clear. A migration that has been postponed for a year. A feature you want shipped without pulling people off other work. Anything that fits inside your repository.
02

We do the work, with Typhon

Our team operates Typhon end-to-end on your behalf — running the orchestrator, approving plans, reviewing the executor's output, opening PRs against your repository. We use the same product we sell, on real engagements, every day.
03

You ship the deliverable

The output is yours: PRs against your repository, documentation in your tree, code reviewed by your engineers on your normal process. Nothing is locked inside our tooling.

Why this works.

Your team stays focused

No parallel rollout project, no week of training, no debate about whether AI tools belong in your workflow. The work gets done while your team keeps doing what they were already doing.

A demo on your real problems

Sandbox demos prove little. Watching Typhon ship a feature that was in your backlog, against your codebase, on your conventions, is the only proof that matters.

You own the output

The deliverables are PRs, code, and documentation in your repository. Not a hosted artifact, not a vendor dependency. If we go away tomorrow, the work we shipped doesn't.

No commitment to adopt

At the end of an engagement, you decide. Bring Typhon in-house if you liked what you saw. Don't, if you didn't. Either way, the work is done and the deliverable is yours.

Any stack. Any language.

AI executors don't have specialties the way human consultants do. The same agent that writes idiomatic Python on a Django project can pick up a Rust crate, a Java Spring service, a TypeScript frontend, or a Go microservice and follow each codebase's own conventions. What we sell is the workflow around the AI — not expertise in any one language or framework.

Backend, frontend, mobile, infrastructure, data pipelines, build scripts, internal tools, embedded code — if it lives in a repository, we can work on it. You don't have to ask whether we do Kotlin or whether we have a Rust person on staff before scoping. Send us a repository and a problem; we'll quote it.

When this makes sense.

A few engagement shapes we know how to deliver well:

Long-standing backlogs of small-to-medium tickets that never get prioritized.
Refactors and migrations that need a focused push but not full-time staffing.
Documentation gaps — onboarding docs, architecture overviews, API references — that grow as a side effect of the work itself.
"We'd like to start using AI on our codebase, but we don't know where to begin." That's where we begin.

Talk to us.

Send a short note about the work you have in mind — repository, scope, the deadline if there is one. We'll come back with a scoped proposal and a quote. Pick whichever channel suits you.

Email: anima@lux.uno
The standard channel. Replies usually within a working day.
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