Applied AI product build
An idea to a working, maintainable product — model selection, pipeline design, evaluation, and the plumbing that makes it reliable.
Services
How we can help
From the first prototype to the app on a phone in a place with no reception.
Offline-first & on-device
Search, speech, OCR and language models running locally on the phone. No round trip, no data plan, no user data leaving the device.
Workflow & integration
Connecting AI to the systems that already run the business — APIs, webhooks, queues, databases — so it does work instead of sitting in a chat window.
Generative content pipelines
Images, sprites, narration and video assembled by machine on a queue, with humans reviewing the output.
Ships as a Docker image
A prebuilt image and a compose file. If you have Docker, you have the product — on your own server, with your data staying there.
Infrastructure & operations
Servers, databases, deployment and monitoring we host and run ourselves, so what we build stays up.
Run it yourself
If you have Docker, you have the product.
Where it makes sense we ship a prebuilt image instead of an account. You pull it, run one compose file, and it is running on your own server — your database, your network, your data.
- One
docker compose up— no build toolchain to install - Private registry access, so it stays yours
- Your data never leaves your infrastructure
- Air-gapped installs where the network is the problem
How we work
Small team, shipped software
- 01
Understand the job
What has to be true for this to be worth building. We say so early if AI is the wrong tool.
- 02
Prototype fast
A working slice in days, not a specification. You use it, and the requirements get honest.
- 03
Harden it
Evaluation, error paths, cost control, security — the work that decides whether it survives.
- 04
Run it
We deploy on infrastructure we operate, or hand you an image to run on yours.
Get in touch
Tell us what you’re trying to build.
Happy to talk through an idea before there’s anything to quote.