The teacher stays in charge
AI drafts; a person decides. Every Kindred tool produces a first pass a teacher reviews, edits and owns. Nothing is finalised by a machine.
Why Kindred
Kindred comes from a family of teachers and a career spent making regulated data provably correct. Same discipline, pointed at the work that eats a teacher's week.

Why I built it
I make regulated data provably correct for a living. Then I go home to a family of teachers.
For a decade I have worked as a business analyst and delivery lead. My job is to make high-stakes data provably correct. Trust money. Statutory audits. Migrations where a single wrong number is a legal problem, not a typo. The discipline is always the same: read the real data, never the shortcut. Keep a human on every judgement call. Ship nothing you cannot prove, and fake nothing.
My wife teaches. My mum taught. I watched the paperwork eat their nights and weekends. The planning, the marking, the learning plans. And I kept thinking the same thing I think at work: this is a data problem, and it has a better shape.
So I built Kindred with the discipline I use on regulated data. The AI does the first draft. The teacher stays in charge of every decision. And no identifying student detail ever reaches the model, because I know exactly what it costs to get sensitive data wrong.
Sam Murdoch
Founder, Kindred. Melbourne.
What we believe
AI drafts; a person decides. Every Kindred tool produces a first pass a teacher reviews, edits and owns. Nothing is finalised by a machine.
No identifying student data reaches the AI, on any tool. We built the de-identification first and the products on top of it.
Planning, marking, learning plans, the work that runs past dinner. We take the first draft so teachers get their evenings back, for teaching and for their own families.
Lesson Builder and Assessor are live, and real teachers' feedback shapes what comes next. Tell me what you teach and where the hours go.