Cekura, previously known as Vocera, offers cutting-edge testing and evaluation services for AI voice agents. Designed for organizations that utilize AI-driven customer interactions, Cekura ensures seamless and efficient agent performance. Using workflows, personas, and real audio, Cekura helps simulate countless scenarios to evaluate and fine-tune voice agents against custom metrics. Additionally, it provides actionable insights, real-time monitoring, and instant notifications for optimal agent performance.

Countless.dev is a comprehensive platform that allows you to see and compare different AI models effortlessly. The platform is free and open-source, offering detailed comparisons based on various parameters such as input length, output length, input price, output price, and vision support. With support for multiple AI categories like chat, embedding, image generation, completion, audio transcription, and TTS (Text To Speech), Countless.dev makes it easy to find the best AI model for your needs.

Lumino Labs provides a comprehensive platform for AI model development and training. It includes an intuitive SDK that allows users to build models using pre-configured templates or custom models. Users can deploy their models within seconds, ensuring quick and efficient workflows. The platform supports automatic scaling to eliminate idle GPU costs and helps monitor model performance in real-time. Lumino Labs emphasizes data privacy and compliance, allowing users to maintain full control over their datasets. The platform also offers cost benefits, reducing training expenses by up to 80%.

ModelBench AI provides a seamless solution for the deployment and maintenance of machine learning models. It supports various model frameworks, simplifies the integration and monitoring process, and offers a user-friendly interface for managing the entire lifecycle of models. Users can easily monitor performance, optimize configurations, and ensure scalability across different application environments, empowering data scientists and engineers to focus on innovation rather than infrastructure complexities.