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ACUITY EdAI
Fully Compliant with 2026 DfE Safety Standards

Secure, Curriculum-Grounded AI Models Built for UK Schools.

We train, fine-tune, and embed private Large Language Models (LLMs) engineered specifically for Key Stages 1–5. Reduce teacher burnout, automate compliant lesson mapping, and accelerate marking—with zero risk to student data privacy.

The Reality of Public AI Tools

Off-the-shelf AI tools expose pupil data, lack local context, and hallucinate. Acuity EdAI builds closed, proprietary models isolated to your Trust's infrastructure, trained exclusively on the National Curriculum, your exam boards, and your school policies.

-8.5 Hours
Per Week Teacher Workload

Saved on planning, resource differentiation, and admin.

65%
Marking Time Saved

Drafts generated strictly against AQA, Edexcel, and OCR rubrics.

100%
Zero-Leakage Guarantee

Completely isolated from public foundational model training.

Instant
Ofsted Prep Analytics

Trust-wide visibility into curriculum alignment and gaps.

Our Core Specialisations

Engineered to bring absolute precision, safety, and compliance to classroom operations.

National Curriculum & Exam Board Fine-Tuning

We customize open-weight models to act as master educators. By training AI exclusively on the UK National Curriculum, EYFS frameworks, and specific GCSE/A-Level specifications, we eliminate generic, unvetted outputs.

  • Hyper-Local Context matching school behavior & marking rules
  • Smart Differentiation across multi-tiered reading and EHCP requirements

Human-in-the-Loop Marking Infrastructure

We build bespoke diagnostic marking engines designed to ease the primary/secondary assessment burden without cutting corner protocols.

  • Exam-Board Alignment (AOs) mapped dynamically
  • Handwriting-Capable OCR for handwritten mock script uploads
  • Absolute Teacher Autonomy: teachers hold 100% moderation approval

Safeguarding-First Student Companions

We train conversational learning agents that act as Socratic dialogue partners for pupils, guiding them to answers without doing the work for them.

  • Real-time Safeguarding Overlays monitoring and flagging against KCSIE guidelines
  • Interface adaptations styling vocabulary from KS1 up to KS5 seamlessly

DfE Compliance & AI Governance

We guide Trust Executive Teams through the complex landscape of legal and ethical AI deployment across public and private sectors.

  • Full alignment with ICO's Age Appropriate Design Code
  • Built specifically to standardise the 2026 DfE Safety Framework criteria

The Acuity Framework

Implementation mapped explicitly to the school calendar year.

Weeks 1-2

1. Trust Data Audit

Mapping your MIS architectures (Arbor, Bromcom, SIMS) and cloud setups for safe data ingestion paths.

Weeks 3-6

2. Secure Sandbox

Our engineers deploy your isolated cluster. We ingest curriculum matrices and trust operational policies to ground the system.

Weeks 7-12

3. Academy Pilot

Launching inside a single control faculty or trial academy. We execute strict data leakage testing and run deep staff training sessions.

Term 2 Onward

4. Full Trust Scale

Scaling parameters across all associated cluster institutions with continuous updating and compliance logging ready for trustees.

Tailored Deployments Across Key Stages

Multi-Academy Trusts (MATs)

Centralize operations. Standardize lesson execution quality across 5 to 50+ academies while establishing continuous automated governance reporting pipelines.

Secondary Academies

Equip subject specialists with GCSE/A-level prompt patterns, rapid automated assessment matrices, and highly protected student study aid variants.

Primary & Infant Schools

Streamline EYFS framework reporting, automatically map tailored visual and synthetic phonics sheets, and take back vital personal evening hours.

Pupil Data Sovereignty Guarantee

"In strict compliance with UK GDPR laws regarding minors and the Age Appropriate Design Code, all data processed by Acuity EdAI stays within secure, UK-sovereign cloud environments (AWS London / Microsoft Azure UK). Pupil data is completely anonymised, never retained, and never fed back into public model vectors."

DfE Standards Met
Cyber Essentials Plus
ICO Registered
UKRLP Registered