dagger

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.

Inferless is a cutting-edge serverless GPU inference platform designed to simplify and optimize the deployment of machine learning models. Developers can deploy models with near-zero configuration from various sources such as Hugging Face, Git, and Docker, scaling elastically to hundreds of GPUs on demand. The platform maximizes GPU utilization through infrastructure-aware load balancing and dynamic batching, reducing cold start latency to seconds, while providing automated CI/CD pipelines. With securely isolated environments and customizable runtimes, it supports diverse AI workloads including LLM-powered chatbots, computer vision, audio generation, and more, making it an ideal choice for large-scale, production-grade ML inference.

Tinfoil leverages cutting-edge confidential computing technology based on NVIDIA hardware to deliver robust data privacy and integrity guarantees for AI applications. It enables secure deployment of AI workloads within hardware-isolated trusted execution environments, ensuring that sensitive data remains inaccessible to cloud providers, service operators, or any third parties. Tinfoil provides an open-source, cryptographically verifiable technology stack that supports seamless integration without requiring modifications to existing workflows, delivering near-native performance even for large-scale AI models. The platform is designed to extend on-premises security boundaries into the cloud, enabling trustworthy AI deployments that comply with data privacy regulations.

Ardor is a revolutionary cloud-native platform that automates the entire software development lifecycle for intelligent applications. The platform enables developers to build, deploy, and scale complex solutions using only natural language descriptions. Through its visual canvas interface and automated architecture generation, Ardor eliminates the traditional complexities of modern software engineering by orchestrating over 1,000 tools and components behind the scenes. The platform supports rapid iteration, real-time debugging, and seamless deployments with zero downtime.

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.

Warp is a next-generation terminal emulator designed for developers to boost productivity and streamline workflows. Built with Rust for speed and security, Warp integrates AI-powered command suggestions, an IDE-like editing experience, and a unique block-based output interface, completely transforming how developers interact with the command line. It also includes team collaboration tools such as Warp Drive, enabling secure sharing of commands, workflows, and knowledge. Compatible across multiple platforms including Mac, Linux, and Windows, Warp prioritizes user privacy by performing all natural language processing locally, ensuring that no user data is ever used for AI training.

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.