AI Middleware

Seamlessly Integrating AI into Education

Unlock the Power of AI with Praxis AI Middleware

In today’s complex education environments, seamless integration of AI into existing systems is crucial for realizing the full promise of AI. Praxis AI Middleware provides the necessary infrastructure to enable institution-wide AI deployment, ensuring that AI initiatives are not just experimental but are scalable and impactful across the entire organization.

Our Middleware Platform

Connection SSO & API

Seamless Integration for Educational Environments

The Connection layer provides frictionless integration between educational platforms and AI capabilities:

Secure Authentication – Single sign-on through LMS integration ensures students and faculty access digital twins within familiar environments
Multiple Access Points – JavaScript SDK for embedding into any web interface, plus a comprehensive Web UI with intuitive controls
Canvas LMS Integration – Real-time control and secure access to course materials, assignments, discussions, and grades
Enterprise-Ready – REST APIs and LTI 1.3 compliance ensure cross-platform compatibility and data security

Transform existing educational platforms into AI-enhanced learning environments without disrupting established workflows.

Praxis AI Neural Engine

Intelligent Core Balancing Magic, Governance, and Usability

The patent pending Neural Engine sits at the heart of Praxis AI's middleware platform:

Advanced AI Processing – Transforms human expertise into scalable digital twins through sophisticated prompt engineering, agentic workflows, and RAG vector search
Personalization – Persistent user memory learns student preferences in real-time, creating increasingly tailored experiences
Agentic Architecture – Token key management system and communication bus enable real-time interaction between AI components
Proactive Support – Contextually aware digital twins that anticipate student needs and provide just-in-time assistance

Create digital faculty replicas that understand course context, access relevant materials, and engage through both text and voice interfaces.

LLMs & Trusted Sources

Flexible AI Models with Knowledge Integrity

Our LLM-agnostic approach ensures both performance and academic reliability:

Multi-Model Support – Seamless switching between Claude, GPT-4o, Gemini Pro, Mistral, and Amazon Nova through an integrated communication bus
Institutional Choice – Select optimal models for specific educational contexts or adjust based on performance needs
Hierarchical “Tree of Knowledge” – Prioritizes verified course content and institutional knowledge before accessing external trusted sources
IP Protection – Sophisticated access controls and content anonymization safeguard institutional intellectual property

Deliver expert-level instruction with both factual reliability and pedagogical effectiveness while protecting your institution's valuable knowledge assets.

Praxis AI in Action

Canvas LMS Integration:

Transforming University Learning

Learn About Canvas