AI tutor and assessment — University

The challenge

The university team was relying on manual effort that could not keep up with volume, and every miss had a direct cost.

What we built

We owned the whole stack — hardware, firmware, models and dashboards — using LLM agents, Svelte, FastAPI so there was one accountable team.

Delivery timeline

1. Phase 1

   Discovery sprint and site survey

2. Phase 2

   Prototype built and tested in the Motera lab

3. Phase 3

   Pilot on site with before/after measurement

4. Phase 4

   Scale-out, training and handover

Highlights

• Runs on-premises; no data leaves the site unless agreed
• Safety case reviewed with the client's EHS team
• Documentation, drawings and source handed over at close
• Remote monitoring and over-the-air updates included