chainlit

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.

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.

Lakera AI is a cutting-edge security platform designed to protect generative AI applications from emerging threats such as prompt injection, data leakage, and inappropriate content generation. Through an easy-to-integrate API, it delivers real-time monitoring and protection capabilities, enabling developers to safeguard AI chatbots, RAG systems, and AI agents with minimal latency. Powered by a continuously updated threat intelligence database containing tens of millions of attack data points, Lakera ensures compliance while delivering seamless performance across multiple models and languages.

Cloudflare Agents is a developer platform and SDK for creating and deploying autonomous agents that can perform tasks, communicate in real time, manage persistent state, schedule workflows, and integrate with external APIs and databases. Agents can be built to handle chat, voice, or other user inputs, leverage large language models, and use Cloudflare's Durable Objects for stateful execution at scale. The platform supports scalability, real-time communication via WebSockets, and seamless integration with modern application frameworks, making it ideal for building production-ready, adaptive, and interactive intelligent applications.

Emergent is a cutting-edge AI platform that leverages autonomous coding agents to automate complex internal software engineering tasks, including code migration, refactoring, and modernization. Founded by industry veterans from Google, Amazon, and Dropbox, and backed by Y Combinator, Emergent's AI agents excel at writing, maintaining, and testing large-scale codebases, reducing development cycles from months to days. This enables enterprises to efficiently scale and maintain their software infrastructure while improving code quality and test coverage.

LangChain is an integrated framework for developing applications powered by large language models (LLMs), streamlining the process of building AI applications. It offers modular components such as chains for multi-step workflows, agents for dynamic decision-making, memory modules for context retention, and integrations with external data sources and tools. LangChain enables developers to create AI applications with contextual awareness and reasoning capabilities by connecting LLMs to real-world data and APIs. Combined with LangGraph for large-scale agent orchestration and LangSmith for monitoring and evaluation, LangChain supports the complete lifecycle of AI applications—from development through deployment and management—making it suitable for both startups and large enterprises.

Alibaba's Qoder transforms software development by enabling AI agents to understand complex codebases and independently plan, write, test, and deliver production-ready code. It supports natural language task delegation, deep contextual understanding, adaptive learning of programming styles, and integrates multiple top-tier AI models, automatically selecting the best model for each task. Ranging from assisted pair programming for simple tasks to fully autonomous coding for comprehensive projects, Qoder significantly enhances developer efficiency and software quality.