Applied AI · Education & EdTech
AI Strategy & Advisory for Education & EdTech
Cut through the AI noise. Find the few use cases worth doing, ship them safely, and govern them properly.
Why it matters in education & edtech
In EdTech the product is the business, but you're also handling children's data and selling into risk-averse buyers. You have to ship great learning software and be trusted with it: CTO and CISO in one.
- →Turning pedagogy and content into a product that scales, architecture, data model and roadmap
- →Shipping AI-powered learning features (tutoring, marking, personalisation) that are genuinely useful
- →Passing the security and data-protection due diligence schools and trusts run, and protecting children's data
- →Integrating cleanly (SSO, MIS/SIS, LTI/OneRoster) and staying reliable through term-start spikes
What you get
- ✓AI opportunity assessment, use cases ranked by value, risk, and feasibility
- ✓Pragmatic build vs buy vs fine-tune decisions, with cost modelling
- ✓Reference architecture for LLM/agent systems: evals, guardrails, and data handling
- ✓AI governance aligned to the EU AI Act and your sector's rules
- ✓Proof-of-concept to production, with the bar set at 'actually useful'
Frameworks & standards
Applied AI / LLMsUK GDPR (children)Cyber Essentials
How we work in education & edtech
We've been the CTO building and scaling an EdTech product first-hand, and we own the security side too, so we help with the architecture, AI and integrations and the trust, privacy and controls that unlock school and trust deals.