AI for K-12 and tutoring, with teachers in charge
OceanLab builds AI into school and tutoring products: practice and feedback for students and clear messages for parents. The AI drafts and suggests; teachers review and decide. Every example below is a product we built.
OceanLab product builds
AI products we designed and built in this industry. Each one is a full case study with screens, scope and the rules it was built for.
Sopaan - AI Maths and Science Tutor with Teachers in Charge
Designed and built a clickable teacher workspace for an AI maths and science tutor sold to Indian secondary schools: a class mastery heatmap mapped to CBSE chapters, practice assignments, student detail with the tutor's line-by-line feedback on handwritten working, and a review queue for tutor chats the guardrails flagged.
Currawong - Homework and Assessment Platform with Teacher-Reviewed AI Feedback
Designed and built a clickable homework and assessment platform for a network of 14 state secondary schools in greater Brisbane: assignments with differentiated versions, a submissions inbox, a grading workspace with rubrics, a comment bank and AI-suggested feedback that teachers must review, and one place to decide extensions and follow up late work.
Fleetbrief - Parent Communication App in the Family's Language
Designed and built a clickable staff app for a Hamburg education office's parent communication platform: announcements with read receipts per guardian, the morning absence list against the register, and teacher messaging inside set hours - written in German and machine translated into Turkish, Arabic, Ukrainian and English, with the original always visible.
Where AI earns its place
Each use case names the builds that did it.
AI tutoring
An AI maths and science tutor with a class mastery heatmap for teachers and line-by-line feedback on students' handwritten working.
Teacher-reviewed feedback
A grading workspace with rubrics, a comment bank and AI-suggested feedback that teachers must review before students see it.
Flagged chats
A review queue for tutor conversations the guardrails flagged, so a teacher sees anything worrying.
Parent messages in their language
Announcements and teacher messages machine translated into the family's language, with the original always visible.
What to plan for
The rules that shape AI in this industry. General information, not legal advice: check with your own counsel.
Grading AI can be high-risk
The EU AI Act's Annex III lists AI used to evaluate learning outcomes, including to steer a student's learning, as a high-risk use case.
EU AI Act, Annex III (AI Act Service Desk), checked 2026-10-25
Children's data in the US
Under the US COPPA Rule a child is anyone under 13, and an operator it covers must get verifiable parental consent before collecting a child's personal information.
16 CFR Part 312, the COPPA Rule (eCFR), checked 2026-10-25
The teacher decides
Flag, then a person
Frameworks our AI builds here cite
From one workflow to production
- 01
Pick the workflow
We start from one workflow your team wants off its plate and agree what a working result looks like.
- 02
Clickable AI prototype
Your team tries the flow on a clickable prototype before any production code is written.
- 03
Production build
We build the production version, with the approval steps and records your industry needs.
- 04
Launch and improve
It goes live in your team's hands, and we tune it as real work runs through it.
Priced either way, whichever suits the work: outcome-based, paid per milestone, or hourly at $30-50 depending on role and seniority. More on AI automation →
Questions teams ask
What can AI do for a school or tutoring company?
Give students practice and line-by-line feedback, suggest homework feedback for teachers to review, flag worrying tutor chats and translate parent messages. Each of these is a product OceanLab built.
Is AI that grades students high-risk under the EU AI Act?
Annex III lists AI used to evaluate learning outcomes as a high-risk use case. Keeping a teacher in charge of every mark matters. Check your own use case with counsel.
How is it priced?
Either way, whichever suits the work: outcome-based, where you pay per milestone, or hourly at $30-50 depending on role and seniority.
Keep exploring
Are you an AI lab looking for human training or evaluation data? That is a separate offer, OceanLab Labs.
