asaasinBlog
Custom AI Development
LLM, generative AI, and ML builds — architecture, delivery timelines, and what things actually cost.
Build walkthrough · Custom AI Development
Building a White-Label AI Compliance Scanner
Inside the build: a multi-tenant platform that grades website privacy compliance with an LLM, resold under an agency's own brand.
Build walkthrough · Custom AI Development
Building an Air-Gapped Fraud Detection Pipeline
Inside the build: an AI audit engine that finds duplicate payments and shell vendors without data ever leaving the building.
Build walkthrough · Custom AI Development
Scoring 25 Million Voter Records: An ML Pipeline Walkthrough
Inside the build: turnout and persuasion scoring across 25.3M voters and $2.365B in matched federal contributions.
Guide · Custom AI Development
AI MVP Development Services: Ship a Real Prototype Fast
How to scope an AI MVP that actually proves the idea, what it should take to build, and what to see before you pay.
Cost guide · Custom AI Development
How to Hire Generative AI Developers in 2026
Where to actually find generative AI developers, what they cost by hiring model, and the tradeoffs of each.
Guide · Custom AI Development
LLM Development Services: What's Actually Involved
Inside an LLM development engagement - the eval suite, the RAG pipeline, the deploy gate - and what it should cost.
Guide · Custom AI Development
Custom AI Development: A Practical Guide for 2026
What custom AI development actually involves, what it costs, and how to tell a real build from a wrapped API.
Guide · Custom AI Development
Generative AI Development Company: How to Choose One
What to actually check before hiring a generative AI development company - and what a real build looks like inside.
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.