Introducing Digital Twins
Praxis AI introduces Digital Twins—intelligent, always-on AI consultants designed to amplify what people and organizations can do. Each Digital Twin is powered by advanced AI, personalized with distinct personalities, languages, voices, and expert knowledge, and acts as a 24/7 resource for learning, productivity, and operational assistance.What is a Digital Twin?
A Digital Twin is a custom AI persona you create: a virtual colleague combining deep expertise with a conversational, multi-lingual interface. It can reason, advise, and execute tasks—whether answering student questions, onboarding staff, or automating business processes.
Easy Integration Everywhere
Digital Twins seamlessly integrate into:
- LMS: Enhance platforms like Canvas, Moodle, Blackboard with direct guidance, tutoring, and workflow automation.
- Web Applications: Embed as a contextual helper, knowledge assistant, or service bot.
- AI Agentic Workflows (MCP): Orchestrate Digital Twins to collaborate, hand off tasks, or interface with tools via the Model Context Protocol.
- Virtually Anywhere: through a curated REST APIs.
Immediate Benefits
- Personal: Praxis AI’s flagship Digital Twin, Pria, is the superior alternative to consumer AI assistants like ChatGPT and Claude—uniquely designed to teach you the practical skills that will make you the next generation of Prompt Engineers.
- Students: Get instant answers, personalized coaching, and accessible content—in 99 natural languages, each with regional variations.
- Teachers & Faculty: Automate routine questions, training, and support. Focus on impactful work.
- Organizations: Institutional memory, compliance, and best practices accessible 24/7. Scale expertise without scaling headcount.
- Digital Twin Gallery
- Integrated
- REST Ready APIs
- Speech to Speech Conversation
Access your Digital Twins from a single place across your organization. The Gallery is your command center for Digital Twins. Quickly create a new Twin, switch between Twins, start a voice conversation, invite users, create a custom branded login page and more.Each Twin appears as a card summarizing identity and readiness:
- Name and role, visibility (draft, private, public), and last update time
- Branding elements (icon, cover/background) and short description
- One-click actions for preview and opening detailed settings

Your Digital Twin Gallery
Use your institution’s branding to make Twins recognizable in the Gallery and embedded contexts. See the Personalization options admin guide.
Features and Benefits
Global-Ready
Global-Ready
Speak, read, and interact in over 99 languages—each localizable for regional nuances. Promote inclusion and accessibility for users worldwide.
Always Available
Always Available
Digital Twins never sleep. Support and expertise are on tap any time, with instant, consistent, and accurate responses.
Knowledge-First
Knowledge-First
Every Twin is trained on your unique knowledge, policies, and documentation—enforced by secure, isolated IP Vaults and RAG (Retrieval-Augmented Generation) for up-to-date, safe answers.
Enterprise-Grade Security
Enterprise-Grade Security
Role-based permissions, bank-level encryption, compliance (SOC 2, FERPA, COPPA), and audit-ready data governance ensure peace of mind.
Flexible Integration
Flexible Integration
Deploy Digital Twins into your learning management system (LMS), web apps, or as modular agents connected through the Model Context Protocol (MCP).
- Integrate Praxis AI Digital Twins with just a few API calls—full SDKs provided for all major platforms.
- Context-aware chat, voice, file, and visual interactions supported out of the box.
Twin Creation Process
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1. Create Your Twin
Design personality, languages, role, and branding to match your needs and culture.
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2. Link Knowledge
Connect your IP Vault (documentation, policies, FAQs), then enable RAG for context-driven precision.
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3. Integrate
Deploy your Digital Twin through your LMS, CMS, app, or workflows—or have them collaborate, escalating to human teams as needed.
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4. Orchestrate
Use Praxis AI Middleware to orchestrate your agentic workflow with platforms like Smithery.ai, Zapier.com
Explore the full documentation to learn about advanced capabilities, integration guides, and best practices for orchestrating multiple Digital Twins across your enterprise or educational ecosystem.
Management
Ownership and access respect your organization’s roles. Admins can manage all or only a subset of twins Twins based on a sophisticated set of entitlements. Enroll users into Twin and adiniser the interactions using the Administrative Panel- Digital Twins
- Users
- Conversations
- Analytics
- Entitlements


Personal and branded
Pria Digital Twins are also available for personal use, use outside of the boundaries of an instution or corporation. To access Pria, simply go to the standard or a branded login page!- Pria
- Branded

Pria Login Page
Scalable Hierarchy
Like a well-conducted symphony, every part of your AI organization plays in harmony. The organizational account is the conductor, guiding multiple Digital Experts as sections of the orchestra, each with their own assistants as individual instruments. Together, they create a seamless performance—precise, adaptable, and perfectly in tune with your goals.RAG (Retrieval-Augmented Generation)
What Is RAG ?
Retrieval-Augmented Generation (RAG) is a hybrid approach that combines traditional language models with external knowledge retrieval systems to produce high-quality, factually grounded text. In this architecture, the language model doesn’t rely solely on its pre-trained weights; instead, it dynamically pulls relevant pieces of information from a curated document index or knowledge base at inference time. This means, when faced with a query, the system retrieves contextually relevant passages—using techniques such as semantic search or dense vector retrieval—and feeds them to the generative model, which incorporates these sources into its final output. RAG enables the generation process to be grounded in up-to-date and domain-specific data, even if that information was not available during the model’s initial training.
[Image courtesy of Kaylyan KS](https://www.linkedin.com/in/kalyanksnlp/)