Built for schools · Evidence-based · Privacy-first

Learning that lands.

IndiLearn gives teachers tools that effectively support student learning — not another task. On-site AI. Student data never leaves the building.

Explore our products Get early access
On-site AILocal server · no cloud dependency
Zero data exposureMeets strict school privacy requirements
Science of ReadingSystematic synthetic phonics aligned
Immediate feedbackHattie 0.7 feedback effect size
in real time ↓
Letter formation · Prep a · /æ/
/æ/ heard. Lovely round shape — start your stem at the dotted line next time.
Why IndiLearn

Four things no other classroom tool does.

Your school. Your server.

Your on-site server runs the AI models. No ongoing AI running costs. No data sovereignty risk.

Phoneme recognition never done before

No existing solution captures isolated phoneme responses from young readers. IndiLearn is solving this.

Feedback that closes the loop

Tracks whether students enact next-steps. The missing link in every other feedback tool.

Designed by teachers, for teachers

Built around real classroom pain points. Reduces workload rather than adding to it.

Our products

Two tools. One thesis.

Every IndiLearn product targets a specific logistics gap between what research says works and what teachers can actually deliver at scale.

Tool 01 · Prep–Year 2

Phonics Reading App

The world's first on-device phoneme assessment for young readers.

⚙ In development · Pilot schools Q3 2026

A structured literacy tool for Prep–Year 2, built on Literacy Hub's Phonics Progression. Our proprietary speech recognition neural engine captures children's isolated phoneme production in real time — something no other app does — with full support for Australian accents.

  • 6-stage teaching flow — Read letters → Write letters → Read words → Write words → Read sentences → Write sentences. One thing at a time.
  • Solving phoneme recognition — No existing speech recognition reliably assesses isolated phonemes from young readers. IndiLearn is building the solution — on-site, private, designed specifically for children's voices.
  • Zone-specific descriptive feedback — Unique multi-algorithm scoring (pixel coverage, Fréchet, Hausdorff) gives children specific, actionable feedback on exactly which part of the letter needs work.
  • Real-time session data — Decodable words and sentences generated from the child's active graphemes and struggle points. Zero cloud calls.
  • AU/US accent toggle — Configurable for school context. Wired through speech recognition and TTS simultaneously.
Tool 02 · Years 2–6

Feedback Platform

Individualised written feedback at classroom scale — without the workload.

⚙ Pilot build · Late Q3 2026 target

It's impossible to deliver quality descriptive feedback to every student every day. It's time consuming for teachers to effectively analyse student work. And students don't always apply the feedback they receive. Feedback has a Hattie effect size of 0.7 — one of the largest in educational research. IndiLearn closes all three gaps.

  • Rubric-grounded feedback — Teacher uploads a unit PDF. System extracts structured success criteria. Feedback is always anchored to a specific criterion.
  • Enactment tracking — Did the student use the next-step? The system explicitly checks. "You're working on the same thing. Here's another way to think about it."
  • Teacher dashboard — Class roll, the three most common next-steps across the class, and a one-paragraph recommendation for tomorrow.
  • Student fingerprint — Across a 10-week unit, each student builds a longitudinal record of recurring strengths, recurring next-steps, and trajectory per criterion.
  • On-site inference — All OCR, feedback generation, and theme synthesis runs on the school's on-site server. Not a single student work sample leaves the building.
Architecture

The school owns the intelligence.

Every IndiLearn tool runs inference on a server that lives in your server room. No cloud costs. No student data in someone else's training set. No privacy consent forms for every child.

School network boundary
iPad / web appStudent and teacher interfaces
School on-site serverModern on-site hardware · private local AI models
CoachingProvider APIProprietary inference layer · versioned prompts
Cloud AI providers Nothing crosses the line. Not work samples, not voices, not names.

This isn't a cost-saving compromise — it's the procurement story that cloud-based AI education tools structurally cannot tell. Schools replace ongoing cloud API costs with a one-time hardware investment, then have no ongoing AI running costs.

  • Single CoachingProvider interface — swap cloud to local without changing a line of application code.
  • Versioned, citable prompts — a school that onboards in March doesn't silently get different feedback in November.
  • Predictable cost — one hardware investment, no per-query or per-student billing.
  • Privacy by design — student data never crosses network boundaries. Meets the strictest interpretation of privacy principles for minors.
  • Upgradeable — as local models improve, schools upgrade the server, not the application. The privacy guarantee never changes.
Evidence base

Built on what works.

IndiLearn tools are grounded in the most replicated findings in educational research. Not buzzwords — actual effect sizes.

73.9%Australian teachers with burnout

Nearly three quarters of Australian teachers report moderate-to-high burnout. Workload is the single greatest driver. IndiLearn reduces marking and feedback burden — not adding another platform teachers must manage.

Education Daily AU (2025) · BERA Workforce Attrition Study

$35MQLD Reading Commitment investment

Queensland's 2023 Reading Commitment backed systematic synthetic phonics with a $35M investment, Year 1 Phonics Check, and Australian Curriculum v9.0 rollout. IndiLearn aligns directly to this commitment.

QLD Dept of Education · QLD Reading Commitment (2023)

0.9Teacher clarity (Hattie)

Clear learning intentions and success criteria are among the most powerful things a teacher can provide. IndiLearn tools are built around teacher-defined success criteria — students always know what they're working toward, and teachers always know where to go next.

Hattie, J. Visible Learning (2009) · Fendick (1990)

Prep–6Designed for primary school children

Both IndiLearn tools are built specifically for primary school classrooms. The phonics app targets Prep–Year 2. The feedback platform supports Years 2–6. Every design decision is grounded in how primary school children learn — not adapted from adult or secondary tools.

Aligned with Australian Curriculum v9.0 · Education Services Australia · Literacy Hub

100%Data sovereignty

The Australian Framework for Generative AI in Schools identifies student privacy as the key concern for Education Ministers. IndiLearn is the only platform that addresses this structurally — not through policy, through architecture.

Australian Framework for GenAI in Schools, Term 1 2024

Insights

Why IndiLearn exists.

The research behind the products. The context behind the decisions.

Privacy

Why student data must stay on-site: the case against cloud AI in schools

Australian children's data is uniquely valuable to bad actors. Here's why on-site inference isn't a feature — it's the only responsible architecture for school AI tools.

 5 min read → Workforce

The teacher burnout crisis: 73.9% burnout rates and what technology can actually fix

Nearly three quarters of Australian teachers are burning out. The cause is specific, measurable workload tasks. Technology can reduce them — but only if it's designed to.

 6 min read → AI & Teaching

AI is a tool, not a teacher: what schools actually need from technology

The AI-replaces-teachers conversation misunderstands what schools do. Teachers cannot be replaced. But their logistics gap can be closed.

 5 min read → Evidence

Evidence-based teaching: response to intervention, teacher clarity, feedback and the Science of Reading

Every IndiLearn design decision maps to a specific, replicated finding in educational research. Here's the evidence behind the products.

 7 min read → School Autonomy

School-based decision making: why edtech that dictates practice is failing schools

Commercial programs that require scripted delivery de-skill teachers and ignore local context. IndiLearn is built to work with schools, not tell them what to do.

 5 min read → Technology

The phonics speech recognition problem: why no existing solution works — and how IndiLearn is solving it

Capturing isolated grapheme-phoneme production from young readers is technically unsolved. Here's what we built and why it matters for any classroom.

 6 min read → Architecture

On-premise AI for schools: data sovereignty, predictable cost, and the on-site server case study

A 600-student school replaces ongoing cloud costs with a one-time hardware investment. Here's the architecture decision that changes the economics of school AI.

 7 min read →

Built for your classroom.
Not for someone else's cloud.

IndiLearn is in active development. Register your school's interest to join a pilot or receive updates as we approach launch.

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No spam. No commitment. Your data stays with us — never shared, never sold.