We built the platform
we wished existed

Kitenga started as frustration.

We were running Teacher's Buddy -a New Zealand ed-tech company helping schools with AI-powered lesson planning. As the business grew, we needed the tools every growing company needs: CRM, email marketing, event management, analytics, support ticketing.

So we did what everyone does. We signed up for HubSpot. Added Marketo for marketing automation. Used Events Air for events. Built dashboards in spreadsheets. Connected them with middleware. Each tool had its own AI features that could only see its own data.

None of it worked the way it should.

Customer data was everywhere and nowhere. Our support team couldn't see marketing interactions. Our marketing team didn't know who'd attended events. Our analytics were always a day behind and never told the full story. The AI features were chatbots that could answer questions about one system but had no idea what was happening across the rest.

We spent more time integrating tools than using them. More time cleaning data than analysing it. More time asking “which system is the source of truth?” than actually serving our customers.

So we built our own

We started from scratch with a simple question: what if every interaction - every email, every event registration, every support ticket, every survey response, every website visit -automatically enriched a single customer profile?

What if the AI wasn't a chatbot bolted onto the side, but the foundation the entire platform was built on? What if it proactively surfaced insights, classified contacts into personas, optimised send times, and flagged risks -without anyone asking it to?

What if you could describe the report you wanted in English, and the platform just built it?

That's Kitenga.

Where we are today

Kitenga is a production platform with nine integrated modules -CRM, marketing automation, event management, sales pipeline, helpdesk, analytics, customer data platform, CMS, and surveys. One login. One customer profile. Every interaction enriching the same intelligence layer.

The Intelligence Hub proactively detects what matters -engagement shifts, churn risk, campaign performance, seasonal patterns -and surfaces them before they become problems. AI chat lets your team query across all their data in natural language. The platform adapts to your sector with configurable business calendars, terminology, and lifecycle stages.

Every customer gets their own isolated database -not shared tables with access policies, but a completely separate database. Your data never touches another organisation's infrastructure.

We believe the future of customer intelligence isn't more tools with better integrations. It's one platform where data flows naturally, AI sees everything, and your team spends time on relationships instead of reconciliation.