On-premise, private cloud or vendor cloud: how a growing company picks where its AI runs
On-premise, private cloud or vendor cloud AI? Plain definitions and a practical checklist to help a growing company decide where its AI should run.
Read articletailored systems / micro + improvement / focused automations
MICROVE.AI
We start by understanding how your operations actually work. Then we design the specific tools that solve real problems and deliver measurable results.
Focused, production-grade AI modules. Not monolithic platforms that overpromise and underdeliver.
WE INTEGRATE WITH YOUR EXISTING ENTERPRISE STACK
Every enterprise runs on a unique architecture. We design around yours—without rip-and-replace.
Why Microve exists
AI has infinite knowledge. But knowledge without execution is operational overhead.
Every deployment starts with your critical constraint. Then we build systems that don't just analyze—they execute. No new platforms to adopt. No workflows to redesign. Just measurable automation that expands team capacity.
The process
We begin with your operational reality, not our technology roadmap. You identify where time is lost, where errors propagate, where processes remain manual.
We map production-ready AI capabilities against your specific constraints and present clear solutions. What each system we build will accomplish.
We engineer systems-native solutions tailored to your technical environment. Not generic products. Purpose built modules that each do one job well inside your operation.
We deploy into your production environment and validate against your KPIs. Time saved, errors reduced, tasks handled by AI instead of people. If the metrics don't shift, the engagement isn't complete.
We begin with your operational reality, not our technology roadmap. You identify where time is lost, where errors propagate, where processes remain manual.
We map production-ready AI capabilities against your specific constraints and present clear solutions. What each system we build will accomplish.
We engineer systems-native solutions tailored to your technical environment. Not generic products. Purpose built modules that each do one job well inside your operation.
We deploy into your production environment and validate against your KPIs. Time saved, errors reduced, tasks handled by AI instead of people. If the metrics don't shift, the engagement isn't complete.
From the blog
On-premise, private cloud or vendor cloud AI? Plain definitions and a practical checklist to help a growing company decide where its AI should run.
Read article