SafetyVector is planned — not live in StudyVector yet
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Evidence, compliance and support records for learning organisations.
SafetyVector is the planned evidence and support-record layer for learning organisations that need structured logs, audit trails and careful learner documentation.
Schools, tutoring organisations and learning providers
Built inside StudyVector
This product sits under Vector Learning Technologies and uses StudyVector as the shared public platform, account path and learning context.
One learning intelligence system
Built as connected StudyVector products, not separate microsites.
One StudyVector account
One shared learning profile
Teacher, marking, school, safety and pathway planets connected to the same core
Product permissions stay under Vector Learning Technologies governance
Planned product direction
The page is intentionally clear about status. Live, early-access and planned features are labelled so the ecosystem can grow without inventing traction or capability.
Evidence logs
Support plans
Neurodivergent learner documentation
Safeguarding-friendly notes
Exportable reports
Audit trails
How the workflow connects
1
Record a support note or evidence item
2
Connect it to a learner support plan where appropriate
3
Keep changes auditable
4
Export structured reports for authorised reviews
StudyVector constellation
One account, one learning profile, multiple role-specific planets.
StudyVector, Core star: Student learning engine. Practice, homework, lessons, error log and Battle Mode. MarkVector, Marking planet: Teacher-reviewed feedback. Essay marker and practice auto-marking. TutorVector, Tutor planet: Lesson and tutor workspace. Tutor, lesson and homework helper routes. Vector Schools, School planet: Classes, homework and cohorts. Teacher dashboard, classes and homework. SafetyVector, Safety planet: Support records and SEND-aware context. Planned support-record layer. ComplianceVector, Compliance planet: Review evidence and policy records. Planned governance workspace. PathwayVector, Pathway planet: Degree, apprenticeship and career guidance. Planned pathway layer.
Every Vector planet now has a defined buyer, primary user, system job, privacy scope and first workflow. That keeps the product roadmap and public marketing tied to what the platform can actually support.
Authorised staff handling support evidence
Support and safeguarding-adjacent notes need tighter permissions, retention rules and audit history than normal learning progress.
First workflows
1Record support-record intent only
2Define access and audit requirements before sensitive notes are stored
3Keep support context separate from public profiles
Guardrails before scale
Sensitive notes require controlled access
Safeguarding escalation stays with the organisation
No support record used as marketing proof
No live safeguarding case system
No storage of special-category support notes before policy review
Account and data architecture
The public page is not a data dashboard. It explains the intended architecture: shared account identity, shared learning profile and permissioned insights across the StudyVector constellation.
SafetyVector is planned as a permissioned evidence system, not a public learner profile.
Support records would stay separate from student marketing pages and require appropriate access controls.
The product is intended to support neurodivergent learners and organisations without turning sensitive notes into social proof.
Compliance readiness
Sensitive-record and safeguarding boundaries
SafetyVector is planned as a permissioned support-record layer. It can help organise evidence, but safeguarding responsibility stays with the organisation and its designated leads.
Reviewed against public guidance
Source set reviewed 22 May 2026. This is a product-readiness framework, not legal advice and not a claim of DfE, exam-board, Ofqual, UCAS, university or school approval.
DSL escalation stays external
Safeguarding concerns still follow the school, college or provider's designated safeguarding lead process and statutory duties.
Sensitive notes stay auditable
Support notes need controlled access, retention rules, edit history and clear export boundaries before use with real learners.
No case-study leakage
Support records and SEND documentation must never become marketing proof unless fully anonymised, approved and legally appropriate.
Evidence expected before wider rollout
These records keep product, procurement and partnership conversations inspectable before school, exam-board or university discussions move further.
DPA, DPIA summary and retention notes available for school review before a wider rollout.
Subprocessor, data-location and model-training positions linked from the legal and security pages.
Clear notes on what is live, early access or planned before procurement conversations start.
Named school contact and escalation route agreed before any school pilot uses student personal data.
Role-based access and audit-log notes for support records.
StudyVector’s school and teacher ecosystem is marketed around reviewable controls: privacy boundaries, human-reviewed marking, assessment-integrity wording and evidence packs that schools can inspect before rollout.
Reviewed source posture
Source set reviewed 22 May 2026. Designed against public DfE, ICO, Ofqual and JCQ guidance. This does not imply approval, certification or endorsement by those bodies.
Teacher-facing AI first
AI support is framed around reducing teacher workload: draft marking, lesson prep and follow-up suggestions. Feedback that affects a learner stays reviewable by a teacher or authorised adult.
Human review before final feedback
Personal data minimisation
School review materials prioritise collecting only the data needed for the workflow, keeping sensitive support notes permissioned and making privacy notices, DPA and retention evidence easy to find.
DPA, DPIA and retention links
Assessment integrity boundaries
MarkVector and teacher workflows avoid presenting AI as an official marker. Practice feedback is separate from regulated assessment decisions and school or awarding-body rules remain the source of truth.
No AI-as-sole-marker claim
Claim control for partnerships
Exam-board, DfE, Ofqual, UCAS and university names are treated as protected claim areas. Public copy can cite guidance, but approval or partnership language requires written proof and approved wording.
No endorsement by default
Public guidance used for review materials
These references help teachers, DPOs, SLT and exam-board contacts understand the boundaries we are building toward.
Future Vector products are designed to sync through controlled StudyVector learning data: user profiles, mastery, mistakes, marking feedback and dashboard views. Public pages never expose private learner data.
Product onboarding intent
Supabase user profile
Shared mastery data
Error log
Marking feedback
Topic weakness data
Teacher, tutor and school dashboards
Related Vector products
The ecosystem is designed to share learning context while keeping each workflow clear.