getmaxim

getmaxim is a powerful, integrated platform designed to streamline the entire lifecycle of Generative AI applications. Trusted by leading AI teams, it serves as a central hub for evaluation, testing, and observability, empowering developers to build and ship reliable, high-quality AI products with unprecedented speed and confidence. The platform is built by developers, for developers, with a deep understanding of the challenges involved in creating and scaling AI systems.

The core mission of getmaxim is to transform the AI development process from reactive troubleshooting to proactive quality management. It provides a robust framework that allows teams to run a multitude of evaluations in parallel. These can range from performance comparisons across different Large Language Models (LLMs), accuracy tests for specific tasks, to crucial Responsible AI checks such as toxicity detection and guardrail enforcement. This comprehensive testing capability ensures that AI models are not only performant but also safe and aligned with ethical standards.

How to use getmaxim

Using getmaxim involves a systematic workflow designed to integrate seamlessly into your existing development process:

1. Connect & Integrate: Start by connecting your AI application to the getmaxim platform. You can integrate it into your CI/CD pipeline for automated testing or connect it to your production environment for live monitoring. Users can also upload custom datasets for targeted evaluations.
2. Experiment & Prototype: Utilize the Prompt Playground to craft, test, and version your prompts. The platform allows for creating complex prompt chains and running side-by-side comparisons to identify the most effective configurations.
3. Evaluate & Benchmark: Run extensive evaluations on your models and RAG pipelines. Choose from a rich library of pre-built evaluators in the Evaluator Store or create your own custom evaluators to measure what matters most to you. Benchmark different LLMs or model versions to make data-driven decisions.
4. Monitor & Observe: Once deployed, use the observability features to get a real-time view of your application's performance. Track logs and traces, analyze user interactions, and set up online evaluations on production data to catch issues as they happen.
5. Analyze & Iterate: Leverage the live dashboards and detailed comparison reports to gain deep insights into your AI's behavior. Use these insights to identify areas for improvement and iterate quickly, reducing the time to production significantly.

Core Features of getmaxim

• Comprehensive Evaluation Suite: Conduct detailed performance comparisons of LLMs, run accuracy tests, and perform Responsible AI checks for toxicity, bias, and guardrail adherence.
• RAG Pipeline Evaluation: Specialized tools for end-to-end testing and benchmarking of Retrieval-Augmented Generation (RAG) systems.
• Experimentation Playground: A collaborative environment for prompt engineering, versioning, and A/B testing of different prompt strategies and models.
• Observability and Monitoring: Real-time logging, tracing, and analysis of production AI applications, with customizable log retention and PII management.
• Automated Testing & CI/CD: Seamlessly integrate evaluation jobs into your continuous integration and deployment workflows to automate quality assurance.
• Custom Evaluators: Flexibility to build custom evaluation logic tailored to specific business needs, in addition to a store of pre-built evaluators.
• Advanced Analytics & Reporting: Interactive dashboards and comparison reports to visualize performance, track metrics over time, and facilitate internal reporting.
• Collaboration and Security: Features like Role-Based Access Control (RBAC), SSO, and private Slack channels to support growing teams and ensure secure operations.

Use Cases for getmaxim

getmaxim is versatile and supports a wide range of applications:

• LLM Benchmarking: A company can use getmaxim to compare the performance, cost, and latency of models like GPT-4, Claude 3, and Llama 3 for their specific customer support chatbot, ensuring they choose the optimal model.
• RAG System Optimization: A legal tech firm can evaluate its RAG pipeline's retrieval accuracy and the factual consistency of its generated summaries of legal documents.
• AI Quality Assurance: A fintech company can automate pre-deployment checks on its AI-powered financial advisor to ensure it doesn't provide harmful advice or leak sensitive information.
• Production Performance Monitoring: An e-commerce platform can monitor its AI recommendation engine in real-time to understand user engagement, identify model drift, and quickly debug issues.

Advantages of getmaxim

The platform offers significant advantages, as highlighted by its users. It has been shown to reduce time to production by as much as 75% by enabling faster iteration and automated testing. Its robust framework empowers teams to move from a reactive to a proactive approach to quality. The ability to run extensive testing and monitoring jobs in parallel makes it the go-to platform for shipping reliable AI applications at scale. The combination of experimentation, evaluation, and observability in a single tool simplifies the MLOps stack and improves developer productivity.

Pricing and Plans

getmaxim offers a tiered pricing structure to cater to different needs:

• Developer Plan: Free forever for individuals and small teams. Includes 3 seats, prompt versioning, custom evaluators, and email support.
• Professional Plan: $29 per seat/month. Designed for growing teams, offering more workspaces, higher dataset limits, and more extensive logging capabilities. A 14-day free trial is available.
• Business Plan: $49 per seat/month. For businesses needing more control, this plan adds unlimited custom roles (RBAC), higher rate limits, PII management, and a private Slack channel for support. A 14-day free trial is available.
• Enterprise Plan: Custom pricing. Tailored for large-scale operations, this plan includes everything in Business plus custom SSO, in-VPC deployments, managed human evaluation, dedicated customer success manager, and custom service level agreements.