AI Development for
Edtech.
Edtech runs on outcomes, not engagement. The real metric is whether the learner finishes — and AI changes that math fundamentally. Vedwix builds ai development for Edtech companies — with the compliance posture, KPI awareness, and operational shape your category demands.
Brief us on AI workWhat we know about Edtech.
- FERPA
- COPPA
- GDPR
- Course completion
- Engagement minutes
- Outcome-based revenue
- Engagement decay after first week
- AI tools that hallucinate to students
- Teachers/admins as the real buyer, not learners
Three use cases we ship.
AI tutors with safety rails
We build AI features that ship to real users — not demos. For edtech, that means designing for FERPA, measuring against Course completion, and avoiding the engagement decay after first week that plague the category.
Adaptive learning paths
We build AI features that ship to real users — not demos. For edtech, that means designing for FERPA, measuring against Course completion, and avoiding the engagement decay after first week that plague the category.
Plagiarism + AI-content detection
We build AI features that ship to real users — not demos. For edtech, that means designing for FERPA, measuring against Course completion, and avoiding the engagement decay after first week that plague the category.
AI Development,
edtech-aware.
We don't pretend every project is the same. Edtech has its own compliance, KPIs, and unwritten rules. We bring those in from day one.
Start a projectWhat you get.
- RAG system with hybrid search
- Eval harness + observability
- Agent orchestration
- Fine-tuning + serving
- Internal AI tooling
We build AI features that ship to real users — not demos. RAG systems with hybrid retrieval, agents with structured outputs, fine-tuned small models, and eval harnesses that measure quality before and after every change.
Examples of Edtech companies in this space: Coursera, Duolingo, Khan Academy.