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Enterprise-grade AI agent platform automating sales, customer service, HR, and other business processes

An AI development and MLOps platform for customizing, deploying, and continuously optimizing large language models.

Defense Situational Awareness Platform integrating multi-domain sensor data for threat detection and tracking

Sales automation platform that handles appointments, customer follow-ups, and syncs calendars with CRM systems.

Prompt engineering tool that transforms simple ideas into structured instructions and generates diverse prompt types

Enterprise agent deployment platform supporting autonomous decision-making and multi-task automation.

Composio is a comprehensive platform designed to simplify the integration of AI Agents and large language models (LLMs) with external tools, APIs, and services. By providing a unified integration framework, authentication management, and advanced workflow orchestration capabilities, it empowers developers to rapidly build and deploy production-grade AI solutions. Its core objective is to enable developers to create reliable, scalable AI applications without the complexity of manual integrations.

Alice is a native AI automation application designed for developers, entrepreneurs, and technical teams, empowering users to take full control of their AI workflows. Users can build custom AI agents tailored to specific tasks and connect with popular automation platforms such as Make, Zapier, and n8n to automate complex processes, while a local-first approach ensures data privacy. Alice supports multiple AI models including OpenAI, Anthropic, and local models, offering flexible trade-offs between cost, performance, and privacy. With a developer-centric design, it provides deep customization, API integration, and efficiency tools, making it a versatile AI solution for both individuals and enterprises.

Factory AI is an advanced enterprise platform designed to accelerate software engineering by automating repetitive development tasks and standardizing workflows. It integrates code, documentation, issue tracking, and discussions into a single intelligent environment, minimizing context switching and enhancing team collaboration. The platform leverages autonomous agents called Droids to handle everything from ideation and planning to coding, testing, and incident resolution. With robust security, dedicated computing resources, and deep integration capabilities, Factory AI enables organizations to boost productivity, maintain compliance, and innovate effectively at scale.

Vellum AI is an all-in-one platform that accelerates the development and deployment of AI applications, particularly those powered by large language models. It provides a unified environment for both technical and non-technical teams to perform prompt engineering, workflow orchestration, evaluation, and continuous optimization. Vellum supports integration with a wide range of AI models—including open-source, closed-source, and self-hosted options—enabling users to efficiently compare and optimize AI performance. With a low-code interface combined with a code-based SDK, it fosters cross-team collaboration and supports rapid iteration and deployment without the need for frequent full-scale releases. Additionally, Vellum offers advanced monitoring and observability tools to track AI decision-making, costs, and latency, ensuring reliability and transparency in production environments.

Flower AI is a comprehensive open-source platform designed to facilitate federated learning and hybrid AI deployment, balancing privacy, scalability, and performance. Developers can collaboratively train machine learning models across distributed data sources without centralizing sensitive information. Flower supports any machine learning framework and programming language, offering high adaptability. Its hybrid AI solution, Flower Intelligence, enables AI models to run locally on devices, achieving an optimal balance between speed and privacy, while seamlessly switching to a secure private cloud when greater computational power is required. This approach ensures AI applications remain fast, private, and available even offline, overcoming the limitations of purely cloud-based or purely on-device AI.

Zerve is a professional development environment designed specifically for data science workflows, distinct from traditional software development IDEs. The platform combines Agent capabilities with comprehensive IDE controls, enabling data scientists to generate code, orchestrate computing resources, and build complete workflows through natural language prompts, while maintaining full oversight of data previews, code editing, and compute configurations. With contextual awareness of data and code throughout the development process, Zerve enables seamless iteration from experimentation to production scale, supporting instant scaling from single runs to thousands of parallel experiments, along with built-in reproducibility and artifact tracking.