20,000+professionals trained

Practical AI that
actually works.

We build custom AI systems for how your business really runs, and train your team to use them.

Trusted by

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and teams from Fortune 500 companies

What we do

Two ways we get AI working for you.

Build

Custom AI systems and automations

We scope and design AI around how your business actually works.

We find what is actually worth building.

We map how your business really runs and where AI saves real time or money, then narrow to the few opportunities worth your investment.

Educate

Hands-on AI training for your team

Tailored workshops that get people using AI on real work, corporate or public.

In-person AI workshopIn person
Live virtual AI classVirtual
  • 01Sessions built around your team's tools, tasks, and goals.
  • 02Hands-on with real work, not slides and theory.
  • 03Delivered live, in person or virtual, for teams or public groups.

Our toolkit

Working with the best AI tools.

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Calvin Hia presenting at an AI workshop

About

Hi, I'm Calvin, founder of Dainami AI.

I help agencies, founders, and operators cut through the AI hype and put systems in place that actually work.

My focus is simple. Remove the overwhelm, deliver clarity, and build automation that saves time, cuts cost, and helps your business grow.

I've taught AI to professionals across public programs and corporate teams, and built custom systems that businesses rely on every day.

0
professionals taught
0
companies served
0
years building with AI

Let's get AI working in your business.

Tell us what you're working on, or where you're stuck. We'll map out a clear next step, and show you where AI can actually move the needle for your business.

Work with us →
AI systems built around how you actually workWe build it, your team owns itFrom first scope to full onboardingAutomation that fits your existing workflowReal outcomes, not fragile demosAI systems built around how you actually workWe build it, your team owns itFrom first scope to full onboardingAutomation that fits your existing workflowReal outcomes, not fragile demos