It is a comprehensive platform designed to enable developers to build, deploy, and scale production-ready AI agents quickly and securely using their own data.
It is a comprehensive platform designed to enable developers to build, deploy, and scale production-ready AI agents quickly and securely using their own data. Griptape provides everything needed to create reliable AI solutions, from data preparation and retrieval to AI agents, pipelines, and workflows. It is built for enterprise use and supports deployment across various environments.
Griptape offers two main components: the Griptape AI Framework and the Griptape AI Cloud. The Griptape AI Framework is an open-source tool that simplifies the development of generative AI agents, systems of agents, pipelines, workflows, and Retrieval-Augmented Generation (RAG) implementations. It eliminates the need for extensive learning of generative AI or prompt engineering, providing clean and clear abstractions for developers. The Griptape AI Cloud, on the other hand, handles infrastructure management, hosting, and operating everything from data processing pipelines to retrieval-ready databases and serverless application runtimes. This allows developers to focus on building solutions without worrying about backend complexities.
Key features of Griptape include the ability to quickly switch between models and model providers, transform data using find-and-replace functionality, and filter CSV files using natural language. It also supports automated data preparation (ETL), retrieval as a service (RAG), and structured runtime (RUN) for seamless execution of AI workflows. The platform is designed to handle both simple and complex use cases, offering flexibility to work with individual layers or the entire stack.
Griptape Framework 1.3 introduces new features, including structured output capabilities, enhancing its functionality for developers. The platform also provides sample applications, tutorials, and community support through social channels, enabling users to stay updated with the latest developments and insights. Griptape is ideal for enterprises and developers seeking to build scalable, secure, and efficient AI solutions without the overhead of managing infrastructure.
It is a platform designed for building, deploying, and managing AI Agents with a focus on reliability, accuracy, and seamless integration across systems.
It is a unified platform designed for building, running, and scaling autonomous agents, now operating under the name sagentic.ai, previously known as bazed.ai.
It is a platform that allows users to create, customize, and deploy AI agents for various business and personal workflows without requiring any coding knowledge.
It is a description of Oraczen, a company that provides AI solutions designed to empower enterprises by addressing inefficiencies in traditional monolith systems.
It is a platform that uses Autonomous AI agents to simplify and automate API integrations, enabling developers to connect software systems seamlessly, securely, and efficiently.
It is an AI-powered platform designed to enhance engineering and DevOps workflows by automating repetitive tasks, enabling self-service operations, and improving overall efficiency.
It is a platform designed to build and deploy AI agents that address trust barriers in adopting agentic AI by embedding data protection, policy enforcement, and validation into every agent, ensuring business success.
It is an autonomous system powered by large language models (LLMs) that, given high-level instructions, can plan, use tools, carry out steps of processing, and take actions to achieve specific goals.
It is the Large Language Model Automatic Computer (L2MAC), a pioneering framework designed to function as a practical, general-purpose stored-program automatic computer based on the von Neumann architecture.
It is a platform that empowers enterprises to innovate effortlessly by integrating generative AI into enterprise services and data sources, enabling the creation of reliable and secure AI agents.
It is a platform designed to integrate generative AI (GenAI) agents into business applications, enabling dynamic digital interactions, enhanced productivity, and improved performance using large language models (LLMs), natural language processing, and proprietary data.
It is a suite of tools designed to support developers throughout the lifecycle of building, running, and managing large language model (LLM) applications.
It is a legal technology solution that combines AI-powered data extraction with customizable workflows to automate and streamline legal processes, particularly contract review and remediation.