Mercury 2 Integrations

OpenAI is committed to ensuring that artificial general intelligence (AGI)—characterized by its ability to perform most tasks that are economically important with a level of autonomy that surpasses human capabilities—benefits all of humanity. Our primary goal is to create AGI that is both safe and beneficial; however, we also view our mission as a success if we empower others to reach this same objective. You can take advantage of our API for numerous language-based functions, such as semantic search, summarization, sentiment analysis, content generation, translation, and much more, all achievable with just a few examples or a clear instruction in English. A simple integration gives you access to our ever-evolving AI technology, enabling you to test the API's features through these sample completions and uncover a wide array of potential uses. As you explore, you may find innovative ways to harness this technology for your projects or business needs.

Voice AI tailored for any use case. Vapi enables developers to create, evaluate, and launch Voicebots in mere minutes, drastically reducing the time typically needed for such processes. Versatile solutions for a wide range of needs. Whether you're developing a customer service platform, a telehealth service, a front desk assistant, a lead generation tool, a food ordering system, a transportation logistics solution, employee training programs, or any other application, Vapi has you covered. We simplify the integration of voice AI, making it as dependable and accessible as any other API in your technology stack. Experience the full potential and extensive customizability of our platform. You can seamlessly integrate any model and interact with it in various environments, enhancing the versatility of your applications.

GPT-4.1 is a cutting-edge AI model from OpenAI, offering major advancements in performance, especially for tasks requiring complex reasoning and large context comprehension. With the ability to process up to 1 million tokens, GPT-4.1 delivers more accurate and reliable results for tasks like software coding, multi-document analysis, and real-time problem-solving. Compared to its predecessors, GPT-4.1 excels in instruction following and coding tasks, offering higher efficiency and improved performance at a reduced cost.

Retell AI is an innovative platform tailored to assist organizations in creating, testing, launching, and managing AI-powered voice agents, significantly improving customer interactions. It features capabilities like transferring calls, managing appointments, and integrating knowledge bases seamlessly, which allows for the production of lifelike conversations with minimal latency. The platform is designed to work with various telephony systems and offers support for multiple languages, making it particularly suitable for global enterprises. With its scalable architecture, Retell AI ensures reliable performance while effectively handling large volumes of calls. Additionally, it provides robust monitoring tools that evaluate call efficiency and customer sentiment, promoting continuous improvements in voice agents and aiding in a deeper understanding of customer preferences. This all-encompassing strategy enables businesses to adapt swiftly and succeed in an ever-evolving digital environment, ensuring they remain competitive and responsive to market changes. With Retell AI, organizations can harness the full potential of AI technology to enhance their customer service experience.

LiveKit serves as a dynamic platform for real-time communication, enabling developers to seamlessly incorporate video, voice, and data capabilities into their applications. By leveraging WebRTC technology, it supports a diverse range of frontend and backend frameworks. The platform’s network architecture is carefully crafted to deliver ultra-low latency, remarkable resilience, and the ability to scale extensively. With a globally distributed team managing an infrastructure that handles billions of audio and video minutes each month, LiveKit showcases its vast operational reach. It provides SDK support for all major platforms, allowing developers to customize their applications with a LiveKit client that is specifically designed for their preferred environment. Additionally, LiveKit offers the option for self-hosting at no expense, with no changes needed to existing code, since all tools and services operate under the Apache 2.0 open-source license. Among its many features, LiveKit includes single sign-on (SSO), role-based access control (RBAC), robust security features like end-to-end encryption, and tools for noise and echo cancellation, session recording, stream ingestion, and moderation, making it an excellent option for developers seeking comprehensive solutions. Overall, LiveKit emerges as a versatile and powerful choice for real-time communication needs, equipping developers with everything required to create highly engaging applications and foster robust user interactions.

Pipecat is an open-source platform designed specifically for the creation and enhancement of real-time voice and multimodal conversational AI agents. It equips developers with an all-encompassing toolkit for the development, implementation, and scaling of AI applications that are capable of auditory, visual, and communicative interactions, all while effectively handling audio, video, AI services, communication channels, and dialogue flows with minimal delay. The core of the Pipecat framework is built on Python, providing a streamlined approach to constructing voice and multimodal AI pipelines, enabling teams to effortlessly integrate various components such as speech-to-text, large language models, text-to-speech, visual processing, video elements, communication channels, and business logic without the cumbersome task of manually linking each service from scratch. Pipecat is designed to be modular and vendor-agnostic, supporting over 100 unique AI services, which allows developers to choose the models and providers that best align with their project requirements. Furthermore, the ecosystem includes Pipecat Subagents, which facilitate the management of specialized agents by offering capabilities like task delegation, job distribution, and scalable deployment across diverse environments. This flexibility and ease of use make Pipecat an exceptional option for developers eager to push the boundaries of innovation in conversational AI, ensuring that they have the resources necessary to adapt and thrive in a rapidly evolving technological landscape. Overall, Pipecat stands out as a versatile solution that caters to the needs of a wide array of development projects.

GroqCloud is a developer-focused AI inference platform designed to power real-time applications with unmatched speed. Built around Groq’s proprietary LPU architecture, it delivers record-setting performance for generative AI inference. The platform supports a broad ecosystem of models, including LLMs, audio processing, and multimodal AI workloads. GroqCloud eliminates the need for batching by maintaining consistently low latency at scale. Developers can begin experimenting instantly with a free plan and scale usage as demand increases. Transparent, usage-based pricing helps teams plan costs without surprise overages. The platform is available across public cloud, private cloud, and hybrid co-cloud environments. On-prem deployment options allow organizations to run the same technology in air-gapped or regulated settings. GroqCloud auto-scales globally to meet production workloads without operational overhead. Enterprise users gain access to custom models and performance tiers. Built-in security and compliance standards protect sensitive data. GroqCloud is optimized to take AI from prototype to production efficiently.

Inception Labs is pioneering the evolution of artificial intelligence with its cutting-edge development of diffusion-based large language models (dLLMs), which mark a major breakthrough in the industry by delivering performance that is up to ten times faster and costing five to ten times less than traditional autoregressive models. Inspired by the success of diffusion methods in creating images and videos, Inception's dLLMs provide enhanced reasoning capabilities, superior error correction, and the ability to handle multimodal inputs, all of which significantly improve the generation of structured and accurate text. This revolutionary methodology not only enhances efficiency but also increases user control over AI-generated content. Furthermore, with a diverse range of applications in business solutions, academic exploration, and content generation, Inception Labs is setting new standards for speed and effectiveness in AI-driven processes. These groundbreaking advancements hold the potential to transform numerous sectors by streamlining workflows and boosting overall productivity, ultimately leading to a more efficient future. As industries adapt to these innovations, the impact on operational dynamics is expected to be profound.

Our team has engineered the fastest AI accelerator, leveraging the largest processor currently available and prioritizing ease of use. With Cerebras, users benefit from accelerated training times, minimal latency during inference, and a remarkable time-to-solution that allows you to achieve your most ambitious AI goals. What level of ambition can you reach with these groundbreaking capabilities? We not only enable but also simplify the continuous training of language models with billions or even trillions of parameters, achieving nearly seamless scaling from a single CS-2 system to expansive Cerebras Wafer-Scale Clusters, including Andromeda, which is recognized as one of the largest AI supercomputers ever built. This exceptional capacity empowers researchers and developers to explore uncharted territories in AI innovation, transforming the way we approach complex problems in the field. The possibilities are truly limitless when harnessing such advanced technology.