

See events we are heading to
FullScale Learning Symposium 2026
Experience that helps move real work forward in schools, systems, and communities.
October 8-10, 2026 | Indianapolis, United StatesA gathering of roughly 1,000 K-12 district leaders, educators, and researchers working on competency-based, whole-child learning. We’re there to listen, compare notes, and share our 13+ years experience with eLearning ecosystems, data, and AI actually in real classrooms.
EdTech Week 2026
The #1 EdTech event in New York City
13-15 October 2026 | New York, USALearning platforms evolve through daily use, not isolated features. At EdTech Week NYC, we’ll talk about how AI supports real user behavior, how learning flows adapt over time, how systems stay stable as complexity grows, and how to integrate AI into tools people rely on every day.
London EdTech Week 2026
A week of conversations across the global edtech scene
15-19 June 2026 | London, United KingdomAlready running a learning platform and thinking about what comes next? This is a good moment to look at how AI fits into your workflows, what can be improved in your LMS without disruption, how your data behaves in real scenarios, and how to scale features without slowing teams down.
EDTECHX 2026
Where the future of education, training, and work takes centre stage
16 June 2026 | LondonMost EdTech products reach a point where features grow faster than the system behind them. That’s where things start to break. At EDTECHX, expect a focused exchange on how personalization, content generation, LMS architecture, and assessment flows behave in real learning environments and what it takes to keep them stable as you scale.
London Tech Week 2026
Meet the team behind systems that hold up in production
8-12 June 2026 | London, United KingdomBuilding AI features or scaling an existing product? London Tech Week is where those conversations turn practical. We’ll help you assess what will hold under real usage, how your architecture supports AI workloads, how integrations behave under load, and where performance or cost issues may appear early.












