Sample project 03
Placeholder entry. Replace with the real project: who the client is, what we built, and why it mattered.
Models served fast and reliably, at a cost per request you can predict.
Teams with a working model in a notebook that now has to answer real requests, or with an AI feature whose API bill keeps growing.
A model that works on a laptop is not a product. It has to answer in time, scale with traffic, recover from failures, and cost less per request than the feature earns.
Traffic, latency target, and budget per request.
Hardware, serving stack, and quantisation where it helps.
Real numbers before real users.
Dashboards and alerts handed to your team.
1 to 4 weeks
A typical range for this kind of work. The written scope we send after the first call sets your actual dates.
At low volume an API is usually cheaper and simpler. Self-hosting starts to pay at steady high volume, or when data cannot leave your servers. We run the numbers for your case.
Often, through quantisation, batching, caching, or a smaller model. We measure before and after so you see the difference.
Yes, if the hardware fits the model. We check the specs early.
A 30-minute call. You explain the problem, we ask questions, and you leave knowing whether we are the right team and what the work would involve.