Tinkerberry Labs
AI automation for education

More teaching time, less administration.

Enquiries go unanswered for days, marking eats evenings, and course material takes months to update.

Private schools and collegesTraining providersEdTech platformsCorporate L&D

instant

response to admissions enquiries

50-70%

less time on first-pass marking

weeks to days

course material refresh cycles

8

documented automations for this sector

The automations

Where education teams lose hours, and what replaces it.

Each one is a system we have specified and built before.

01

Admissions enquiry agent

The manual process today
Prospective students ask the same questions and wait days for an answer.
What we build
A multilingual agent that answers course, fee, visa and deadline questions from your own material and books a call with admissions.
Typical impact
Enquiry-to-application conversion improves on speed alone.
Website / WhatsAppProspectus RAGCRM booking
02

Assessment and feedback support

The manual process today
Marking volume forces short, generic feedback.
What we build
Rubric-based first-pass marking with specific, evidence-linked feedback drafts that a tutor reviews and adjusts.
Typical impact
Students get richer feedback faster; tutors keep the final call.
LMS integrationRubric encodingTutor review
03

Course content generation and refresh

The manual process today
Materials, quizzes and slides age faster than staff can update them.
What we build
Generation of quizzes, worked examples, slide decks and summaries from your source material, with a subject-expert approval step.
Typical impact
Course refresh cycles measured in days.
Source material ingestionAssessment generationLMS publishing
04

Student support and retention outreach

The manual process today
Disengagement is noticed after a student has already left.
What we build
Engagement signals from LMS activity and attendance trigger personalised outreach and a suggested intervention for the tutor.
Typical impact
At-risk students reached while it still matters.
LMS dataRisk scoringOutreach automation
05

Personalised tutoring assistant

The manual process today
One pace for a class of thirty different students.
What we build
A Socratic tutor grounded in the course material that adapts to each student's level and reports gaps back to the teacher.
Typical impact
Support available at 2am; teachers see class-wide gaps.
Curriculum RAGAdaptive promptingTeacher dashboard
06

Timetabling and resource allocation

The manual process today
Timetable changes cascade into hours of manual rework.
What we build
Constraint-based rescheduling with conflict explanation and automatic notification to affected staff and students.
Typical impact
Disruption handled in minutes.
Timetable dataConstraint solverNotification system
07

Compliance and accreditation evidence

The manual process today
Accreditation packs are assembled by hand every cycle.
What we build
Continuous mapping of course delivery evidence to accreditation criteria with gap alerts well before the deadline.
Typical impact
Inspection preparation stops being a crisis.
Evidence indexingCriteria mappingReporting
08

Corporate L&D personalisation

The manual process today
Everyone gets the same generic training regardless of role or level.
What we build
Role-aware learning paths generated from your internal material, with knowledge checks and manager reporting.
Typical impact
Higher completion and demonstrable skill uplift.
HRIS rolesContent generationLMS reporting
Questions

What education teams ask us.

The tutoring agents we build are Socratic by design, refuse to produce submittable answers, and report interaction patterns to teachers. Assessment design matters more than detection, and we advise on both.

Student data stays in your systems, retrieval is permission-aware, and we use zero-retention model endpoints with a documented data flow you can show to a DPO.

Audits are a fixed fee and are credited against a build. Single-workflow builds typically land in the low five figures, multi-workflow programmes higher, and ongoing running and support is a fixed monthly fee. You get the number before we start, not a rolling hourly bill.

A first pilot on your real data usually runs within two to four weeks of the kickoff call. Full deployment with integrations and training normally lands between weeks four and eight.

Your automation plan

Tell us what your education team keeps doing by hand.

Thirty minutes, no pitch deck. We map the process, tell you whether automation pays back, and give you a rough cost before you commit to anything.

You and the work

Two more short steps sharpen the answer. An engineer reads it either way and replies, usually within a business day.

Other sectors

Automations for adjacent industries.