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.
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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.
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Introducing multi-product solutions
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
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.
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 |
Human-First Digital Twin™ Build | One-time build of a custom Human-First Digital Twin, including knowledge ingestion, avatar, voice, branding, and launch setup. Interactions are billed separately with Praxis Universal Credits. | $7,500.00 |
Dimensions summary
You buy a bundle of credits under a contract, and credits fund your use of the platform. Five tiers set how many credits you get: 9,000, 25,000, 50,000, 100,000, or 500,000. All credits carry a 24-month expiration. Larger bundles apply a volume discount: the 50,000-credit tier includes 10%, the 100,000-credit tier includes 15%, and the 500,000-credit tier includes 25%. The two smaller tiers carry no discount. Pick the tier that matches your expected credit consumption; the discount grows as bundle size increases.
Top-of-mind questions for buyers
Credits fund your AI usage across the platform, including chat responses, voice conversations, and tool actions. Each interaction draws credits based on the AI model and features used. Cached tokens are charged at 50%, which lowers credit use when responses repeat. The credit system gives administrators real-time visibility into consumption.
You choose how to allocate credits. Institution-pooled credits create a shared budget everyone draws from. Personal allocations set per-user limits instead. Administrators can set low-credit alerts, auto-transfer thresholds, and per-user credit awards. This lets you control spending across your organization from a single pool or by individual.
Credits expire 24 months after purchase, so unused credits do not carry beyond that window. When credits run low, administrators receive alerts and can set auto-transfer thresholds. To continue after depletion, you buy another credit bundle. Plan your tier around expected consumption within the 24-month period.
docs.praxis-ai.com
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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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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.
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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.
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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 twins of subject matter experts that preserve institutional knowledge and human reasoning patterns, delivering personalized guidance with 70% engagement rates across 500+ implementations.
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 systems.
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
Institutional knowledge preservation system that captures and scales human expertise across global operations, processing over 1 billion tokens monthly with documented 35% improvement in learning outcomes.
Local Large Language Model Execution
Execution of large language models such as Llama 2 and 3 directly on local machines without dependency on cloud-based services
Local API Integration
Exposed local API enabling seamless integration of large language models into applications and workflows for prompt submission and response retrieval
OpenAI-Compatible API Integration
Support for OpenAI-compatible APIs with customizable API URLs to integrate with LMStudio, GroqCloud, Mistral, OpenRouter, and similar services
Web-Based Interface with Docker
Docker-based web interface accessible via browser with chat functionality inspired by ChatGPT, model builder capabilities, and custom character creation
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 learning context.
Adaptive Learning Pace Customization
Utilizes data-driven insights to dynamically adjust instruction speed and learning progression for individual users.
Real-Time Content Suggestions
Delivers immediate recommendations of supplementary materials correlated to the user's current topic of study.
Multi-Language Support
Supports implementation across multiple languages to enable personalized and accessible learning experiences.
Personalization Framework
Provides infrastructure to customize learning experiences for individual users through behavioral analysis and preference tracking.
Standard contract
Customer reviews
reviewer2865873
Procurement workflows have become faster and user interface now supports quicker P2P cycles
Reviewed on Jun 27, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for Pria is for procurement purposes and after architecture. A specific example of how I use Pria in my procurement process is from the sourcing of the material to the P2P cycle.
What is most valuable?
The best features Pria offers are compatibility and an easier graphic user interface.
Compatibility and the user interface help me in my daily work as the graphic user interface is pretty easy compared to other software.
Pria has positively impacted my organization by improving the P2P process; earlier, it was around 30 days, and after introducing Pria, the time has been reduced.
What needs improvement?
I think there is no scope for improvement; they just need to be persistent and maintain the graphic user interface.
For how long have I used the solution?
I have been using Pria for three years.
Which other solutions did I evaluate?
Pria's accuracy and reliability of output are better than Gemini.
What other advice do I have?
The advice I would give to others looking into using Pria is flexibility, compatibility, and ease of use.