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    Praxis AI: Enterprise AI Middleware & Digital Expert Platform

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    Sold by: Praxis AI 
    AI THAT PUTS HUMANS FIRST. Your Expertise. Your Control. Your Success. Enterprise AI middleware platform transforming human expertise into scalable digital intelligence through authentic digital experts and MCP-powered AI orchestration serving education, enterprise, and workforce development. Unlike generic AI solutions, our digital twins preserve institutional knowledge with human reasoning patterns, delivering 70% engagement rates vs 14% for basic chatbots across 500+ implementations. Built on AWS Bedrock with Model Context Protocol integration for seamless multi-LLM orchestration, our platform creates personalized digital experts providing 24/7 knowledge access while maintaining data sovereignty. Trusted by Notre Dame, DeVry, Clemson, and enterprise clients like Canadian Bar Association processing 1B+ tokens monthly with zero data breaches and complete regulatory compliance.

    Overview

    Praxis AI is the enterprise middleware platform that revolutionizes knowledge management by transforming human expertise into scalable digital intelligence through authentic digital twins, digital experts, and advanced Model Context Protocol (MCP) integration. Unlike generic AI chatbots that provide basic responses, our platform creates sophisticated digital replicas of subject matter experts that preserve institutional knowledge, maintain human reasoning patterns, and deliver personalized guidance 24/7 with enterprise-grade security. Built on AWS Cloud infrastructure with MCP-enabled LLM-agnostic architecture, Praxis AI seamlessly orchestrates OpenAI, Anthropic, Gemini, AWS Bedrock, and other leading AI models through standardized context protocols while ensuring complete data sovereignty and zero proprietary data exposure. Our digital experts serve any industry because we don't create, we enable, amplifying human expertise without replacing it and providing specialized knowledge access that scales human expertise across global operations.

    The platform delivers measurable impact with proven results across 500+ digital expert implementations: 70% user engagement rates versus 14% for traditional chatbots, 35% improvement in learning outcomes, students achieving full letter grade increases, and enterprise clients reporting significant productivity gains and knowledge retention improvements. Healthcare systems deploy digital expert physicians for 24/7 clinical decision support and medical education, financial institutions leverage compliance experts for regulatory adherence across distributed teams, manufacturing organizations preserve decades of operational knowledge from senior engineers through MCP-powered knowledge transfer, professional services firms scale expertise across global consulting practices, and government agencies maintain institutional knowledge through leadership transitions. Trusted by prestigious institutions including Notre Dame, DeVry, Canadian Bar Association, NCAA, Concussion Legacy Foundation, Clemson University, and Alabama State University, and more. Praxis AI processes over 1 billion tokens monthly with zero security breaches.

    Enterprise-grade security and compliance capabilities include AWS Cloud infrastructure, Model Context Protocol standardization for secure AI model communication, FERPA and ADA508 compliance, HECVAT documentation, dedicated instances with enterprise encryption, complete data sovereignty, and seamless integration through REST APIs and LMS connectors. Originally proven in higher education's rigorous governance environment, our MCP-powered platform has successfully expanded to enterprise sectors with proven scalability frameworks that ensure regulatory compliance, institutional knowledge preservation, workforce development excellence, and authentic human-AI collaboration that enhances rather than replaces human expertise across all organizational levels.

    Highlights

    • Enterprise AI middleware platform creating digital twins of experts with 70% engagement rates and 35% learning improvement - proven across education, enterprise, and workforce development sectors.
    • LLM-agnostic architecture orchestrating multiple AI models (OpenAI, Anthropic, AWS Bedrock) with enterprise security, FERPA compliance, and zero data leakage to external LLMs.
    • Seamless LMS integration and enterprise APIs enabling scalable deployment of personalized AI professors, tutors, mentors, and advisors with institutional knowledge preservation.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Praxis AI: Enterprise AI Middleware & Digital Expert Platform

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    24-month contract (5)

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    Dimension
    Description
    Cost/24 months
    Tier-1: 9,000 Credits
    A bundle of 9,000 credits - 24 month expiration
    $1,000.00
    Tier-2: 25,000 Credits
    A bundle of 25,000 credits - 24 month expiration
    $2,750.00
    Tier-3: 50,000 Credits
    A bundle of 50,000 credits - 24 month; 10% discount
    $5,000.00
    Tier-4: 100,000 Credits
    A bundle of 100,000 credits - 24 month; 15% discount
    $9,500.00
    Tier-5: 500,000 Credits
    A bundle of 500,000 credits - 24 month; 25% discount
    $41,500.00

    Vendor refund policy

    Any customer may request a refund of unused credits by providing a formal request to support@praxis-ai.com  with 30-days notice. There will be a 20% refund fee deducted from any refund.

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    Support details: Praxis AI provides comprehensive enterprise support including dedicated technical assistance, implementation guidance, and ongoing platform optimization. Contact support@praxis-ai.com  or humans@praxis-ai.com  for technical assistance. Enterprise Security & Compliance: AWS Cloud infrastructure with enterprise-grade encryption, FERPA compliance, ADA508 accessibility standards. HECVAT and VPAT available upon request. Security certifications: https://aws.amazon.com/compliance/programs/  Integration Support: Multiple integration options including Canvas LMS Custom Theme (preferred) and LTI 1.3. Comprehensive onboarding with technical documentation and video tutorials. Contact david@praxis-ai.com  for implementation assistance. Privacy & Data Protection: Complete data sovereignty with dedicated AWS instances. Privacy policy: https://praxis-ai.com/privacy-policy/  | Terms of Use:

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    100
    In eLearning, Education & Research
    Top
    10
    In Text/Captioning, Generative AI, ML Solutions
    Top
    25
    In Embeddings

    Overview

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    AI generated from product descriptions
    Multi-Model AI Orchestration
    LLM-agnostic architecture that seamlessly orchestrates multiple AI models including OpenAI, Anthropic, Gemini, and AWS Bedrock through Model Context Protocol (MCP) integration for standardized context communication.
    Digital Expert Creation
    Platform creates sophisticated digital replicas of subject matter experts that preserve institutional knowledge and maintain human reasoning patterns for personalized guidance delivery.
    Enterprise Security and Compliance
    AWS Cloud infrastructure with dedicated instances, enterprise encryption, complete data sovereignty, FERPA and ADA508 compliance, HECVAT documentation, and zero proprietary data exposure to external LLMs.
    Learning Management System Integration
    Seamless integration through REST APIs and LMS connectors enabling scalable deployment of personalized AI professors, tutors, mentors, and advisors across educational and enterprise environments.
    Knowledge Transfer and Preservation
    MCP-powered knowledge transfer system that captures and scales human expertise across global operations while maintaining institutional knowledge through organizational transitions.
    Local Large Language Model Execution
    Execution of large language models directly on local machines without dependency on cloud-based services, providing fast and efficient AI processing capabilities.
    Supported Model Architectures
    Support for Llama 2 and Llama 3 models for performing natural language processing tasks.
    OpenAI-Compatible API Integration
    Integration with OpenAI-compatible APIs and customizable API endpoints to connect with LMStudio, GroqCloud, Mistral, OpenRouter, and other services alongside Ollama models.
    Web-Based Interface with Docker
    Docker-based deployment with web browser access providing ChatGPT-inspired chat interface, model builder, visual model selection, and parameter adjustment capabilities.
    Retrieval Augmented Generation with Web Search
    Web search integration using providers such as SearXNG, Google PSE, Brave Search, serpstack, and serper with results injection into local RAG workflows.
    AI-Powered Recommendation Engine
    Implements machine learning-based recommendations to suggest relevant study materials and content based on user activity and current topic of study.
    Adaptive Learning Pace Customization
    Utilizes data-driven insights to dynamically adjust instruction speed and learning progression for individual users.
    Multi-Language Support
    Supports implementation across multiple languages to enable personalized and accessible learning experiences for diverse user populations.
    Real-Time Content Suggestions
    Delivers immediate recommendations of supplementary materials and resources relevant to the user's ongoing learning activity.
    Personalization Engine
    Customizes the learning experience for each user through individualized content delivery and pace adjustments based on user behavior and preferences.

    Contract

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    Standard contract

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