asaasinBlog
Custom AI Development
LLM, generative AI, and ML builds — architecture, delivery timelines, and what things actually cost.
Frequently asked
What counts as "custom" AI development versus a wrapper around an API?
Custom work leaves a trail you can inspect: an evaluation suite, a named model layer with a swap plan, real architecture, and code deployed inside your own cloud. A thin wrapper leaves a prompt and a vendor dependency you cannot see inside.
How long does a custom AI build take?
A single-track build — one model integration, one system it plugs into — typically fits a Builder Pod ($5,000/month) running one to three months. Scope that spans multiple systems or heavier evaluation work moves to a Growth Pod or an Enterprise engagement.
Do you build on our stack or migrate us onto a platform?
On your stack. Custom development builds the connector to whatever systems and data you already run, rather than requiring a migration onto a platform’s supported integrations.
Get in touch.
Thirty minutes to map your problem to a plan and a timeline. You will leave the call with scope, price, and a start date.