UltraSafe AI

Building with Ultrasafe

Ultrasafe is a family of highly performant and intelligent AI models built for enterprise applications. While Ultrasafe is powerful and extensible, it's also the most trustworthy and reliable AI available. It follows critical protocols, makes fewer mistakes, and is resistant to misuse—allowing enterprise customers to build the safest AI-powered applications at scale.

This guide introduces Ultrasafe's enterprise capabilities, the end-to-end flow for developing with Ultrasafe, and how to start building.

What you can do with Ultrasafe

Ultrasafe is designed to empower enterprises at scale with strong performance across benchmark evaluations for reasoning, math, coding, and fluency in English and non-English languages.

Here's a non-exhaustive list of Ultrasafe's capabilities and common uses.

CapabilityEnables you to...
Text and code generation
  • • Adhere to brand voice for excellent customer-facing experiences such as copywriting and chatbots
  • • Create production-level code and operate within complex codebases
  • • Build automatic translation features between languages
  • • Conduct complex financial forecasts and analysis
  • • Support legal use cases requiring high-quality technical analysis and fast outputs
Domain expertise
  • • Access specialized knowledge in healthcare with ultrasafe/usf-healthcare
  • • Leverage financial expertise with ultrasafe/usf-finance
  • • Enhance coding capabilities with ultrasafe/usf-code
  • • Build psychology applications with ultrasafe/usf-psychology
API integration
  • • Integrate seamlessly with existing systems through RESTful APIs
  • • Support both synchronous and streaming responses
  • • Scale applications with enterprise-grade infrastructure
  • • Monitor usage and performance through comprehensive analytics

Enterprise considerations

Along with an extensive set of features, tools, and capabilities, Ultrasafe is also built to be secure, trustworthy, and scalable for wide-reaching enterprise needs.

🔒 Secure

  • • Enterprise-grade security and data handling for API
  • • SOC II Type 2 certified, HIPAA compliance options for API
  • • End-to-end encryption for all communications
  • • Comprehensive audit logging and monitoring

🛡️ Trustworthy

  • • Resistant to jailbreaks and misuse with continuous monitoring
  • • Expert models stay within their domain of expertise
  • • Transparent usage policies and ethical AI principles
  • • Uniquely positioned to serve high trust industries processing sensitive data

⚡ Capable

  • • Large context windows for expanded use cases and complex document processing
  • • Multiple model tiers balancing performance, speed, and cost
  • • Specialized expert models for domain-specific applications
  • • Real-time streaming capabilities for interactive applications

🔧 Reliable

  • • Very low hallucination rates with consistent, accurate outputs
  • • High availability with 99.9% uptime SLA
  • • Robust error handling and graceful degradation
  • • Comprehensive monitoring and alerting systems

🌍 Global

  • • Excellent performance in English and multiple international languages
  • • Support for global deployment and data residency requirements
  • • Cultural awareness and localization capabilities
  • • 24/7 global support coverage

💰 Cost conscious

  • • Family of models balances cost, performance, and intelligence
  • • Transparent, predictable pricing with no hidden fees
  • • Usage-based billing with detailed analytics
  • • Enterprise volume discounts available

Implementing Ultrasafe

1

Scope your use case

  • • Identify a problem to solve or tasks to automate with Ultrasafe
  • • Define requirements: features, performance, and cost
2

Design your integration

  • • Select Ultrasafe's capabilities and models (usf-pro, usf-base, usf-mini, expert models) based on needs
  • • Choose deployment method and integration approach
  • • Plan for scalability and performance requirements
3

Prepare your data

  • • Identify and clean relevant data (databases, code repos, knowledge bases) for Ultrasafe's context
  • • Ensure data quality and format compatibility
  • • Implement data security and privacy measures
4

Develop your prompts

  • • Use the Expert Models to create evaluations and draft prompts
  • • Iteratively refine based on test results and performance metrics
  • • Deploy polished prompts and monitor real-world performance
5

Implement Ultrasafe

  • • Set up your environment and configure authentication
  • • Integrate Ultrasafe with your systems (APIs, databases, UIs)
  • • Define human-in-the-loop requirements and workflows
6

Test your system

  • • Conduct comprehensive testing for potential misuse scenarios
  • • A/B test improvements and performance optimizations
  • • Validate security, reliability, and compliance requirements
7

Deploy to production

  • • Once your application runs smoothly end-to-end, deploy to production
  • • Implement monitoring, logging, and alerting systems
  • • Set up automated scaling and failover procedures
8

Monitor and improve

  • • Monitor performance and effectiveness to make ongoing improvements
  • • Analyze usage patterns and optimize costs
  • • Continuously update and refine your implementation

Next Steps

Ready to start building with Ultrasafe? Here are some recommended next steps:

Getting Started

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