For investors

High Performing Businesses run on AI.

AI is rebuilding the whole customer-engagement stack — marketing, sales follow-up, support, surveys, CRM and internal knowledge. The winning approach isn't more autonomous AI — it's AI businesses can actually trust: human-approved, self-hosted, cost-controlled. RAD Business delivers all of it, sold through partners.

One build, multiple buyer typesPartner-led distributionLow cost to run
The opportunity

A large market is being rebuilt by AI — and trust is the gap.

1

A stack being rebuilt

Every business runs on engagement — marketing, sales, support, knowledge — and AI is changing how all of it is done.

2

Trust is the real gap

Fully autonomous AI worries brands and regulators. Control, approval and data ownership are what serious buyers actually want.

3

Distribution is the cost

A direct sales force is expensive and slow. Partners who already serve these buyers need tools to retain and grow revenue.

What RAD Business gives you

One build. Multiple buyer segments. A capital-efficient model.

1

One build, many buyers

One platform — content, lead-gen, support chatbot, intelligence, email, surveys, CRM, internal knowledge — sells to businesses who use, deploy, and deliver IT.

2

Capital-efficient

Deployed once per client, run as a monthly managed service, and sold through partners — so customer acquisition rides on existing channels.

3

An open-platform moat

Built on a 70+ module marketplace, with more of the customer's stack to cross-sell onto the same client cloud. Every account deepens the relationship.

How it works

Three simple steps

1

Productise

Harden the solution, packaging and reporting into a repeatable product.

2

Partnerships

Enable partners to deploy and sell it without a direct sales force.

3

Compound

Recurring revenue across many client clouds, with an expanding catalogue.

The moat is trust, not model access.

Anyone can call an AI model. The defensible position is the layer around it: human approval, data sovereignty (it runs in the customer's own cloud) and cost control. That's exactly where autonomous-AI tools are weakest — and what regulated buyers need.

Book an exploratory conversation about the opportunity — the full thesis, the partner-led go-to-market, the unit economics and the use of funds.