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AI Growth + Agent Readiness

Get More Customers Today. Be Ready for Tomorrow.

We build AI systems that help businesses attract leads, follow up, book customers, and prepare for customers using AI agents.

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See how it works

Built and tested inside our own companies.

AI is changing how customers find and choose businesses.

Today

  • People search.
  • They visit your site.
  • They call, fill out a form, or send a message.
  • Your team follows up.

Tomorrow

  • People ask AI to research.
  • AI compares businesses.
  • AI may contact or act for the customer.
  • Your business must be easy for AI to understand.

We help you improve both.

Choose your starting point

What does your business need most?

AI Growth Engine

More Customers Now

Connect content, calls, forms, follow-up, booking, and learning so more leads become customers.

  • Content-to-lead system
  • Landing pages
  • Lead capture
  • AI follow-up
Explore AI Growth Engine

Agent Readiness

Prepare for AI Customers

Make it easier for AI systems to find, understand, trust, recommend, and work with your business.

  • Agent readiness audit
  • Canonical knowledge layer
  • Website and documentation cleanup
  • Machine-readable content
Explore Agent Readiness
Have an unusual AI or emerging-technology project? Explore R&D.

A simple plan

Start with the highest-value problem.

  1. 01

    Assess

    Find where customers or AI systems get stuck.

  2. 02

    Build

    Fix the highest-value parts first.

  3. 03

    Improve

    Measure results and keep making the system better.

Built inside Mass Ideation

We use our own companies to test the work.

These are Mass Ideation ventures or products. We use them to test our methods in real operating environments.

Stackit.ai

Live

A financial product used to test clear facts, risk explanations, public tools, and agent-ready customer journeys.

Challenge
Make complex financial information easier for people and AI systems to understand and use safely.
What we built
Product workflows, knowledge structure, public interfaces, and ongoing agent-readiness tests.
View case study

Navo

Building

A standalone AI video platform, also used inside the AI Growth Engine, where an agent creates and posts videos, learns from their performance, and improves future versions with the goal of finding a video that can become an ad.

Challenge
Turn video creation and publishing into a learning loop that can discover stronger ad candidates over time.
What we built
An AI-agent workflow for creating videos, publishing them, learning from performance, and updating the next versions.
View case study

NeedsMatch.ai

Testing

A connection marketplace where people share what they are doing and what they need, then receive introductions to people they should know.

Challenge
Help people find relevant connections without relying on noisy cold outreach or chance encounters.
What we built
A marketplace workflow for describing current work and needs, finding relevant people, and making useful connections.
View case study

Why Mass Ideation

Experience across technology waves.

Before today's AI boom, we were already building computer-vision, augmented-reality, virtual-reality, and interactive systems. Today, we apply that experience to AI growth systems, agent-ready businesses, and new AI products.

Historical client names, dates, media, and project roles will be added only after source and permission review.

See our technology journeyView earlier creative technology work

Find the best place to start.

Take a short assessment and see which problems are worth fixing first.

I Need More CustomersI Want to Prepare for AI Agents