Labelbox
The data behind breakthroughs
We empower the world’s top AI innovators with unrivaled expertise and tools to create, manage, and scale the ultimate data factory for groundbreaking AI solutions. The future of AI hinges on exceptional data, and Labelbox delivers it through innovative software and our elite Alignerrs network, a powerhouse of global experts shaping cutting-edge models with evaluations and bespoke data. Pioneering data-centric AI since 2018, we provide fully-managed data solutions—powered by our industry-leading Labelbox Platform—and connect industry-leading talent to AI labs, equipping them to staff and scale their own data factories for transformative impact. Our operating principles define how we build world-class AI infrastructure: through high agency, technical excellence, and rapid execution. These aren't just words on a wall - they're the foundation that enables us to solve some of the most exciting challenges in frontier AI development. These principles create an environment where Labelboxers can do their best work. We find joy in creating solutions for our customers. These solutions empower teams to build impactful machine learning products and services. By working with us, our customers are at the forefront of industrial machine learning. The AI industry is growing and evolving rapidly as it begins to transform every industry. We must stay humble and embrace that we have so much more to learn. We seek to understand first so that we build the most impactful solutions. Craftsmanship is the fine balance between perfection and a solution to the given constraints. To be a craftsman is to be consumed in a problem and to create your best expression of work as a result. You can't be a craftsman in every thing, you can only be a craftsman in a few things, but you do those things remarkably. Enabling breakthroughs in every industry Labelbox is uniquely positioned as the only company offering three integrated solutions for frontier AI development: Our flagship software enables teams to produce high-quality training data at scale through advanced annotation tools, workflow automation, and quality control systems. Through Alignerr, we provide specialized data labeling services for complex AI tasks, leveraging a network of subject matter experts to produce training data for next-generation AI models. Our marketplace connects AI teams with highly skilled annotators and domain experts, enabling flexible scaling of data operations from small research projects to large-scale production. We believe data will remain a crucial pillar in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. We're positioning Labelbox to be at the forefront of this evolution, developing new products and services that enable the next generation of AI breakthroughs. AI is quickly becoming one of the most significant technologies of our time. We're creating the in
Metaflow
Build and manage real-life ML, AI, and data science projects with Metaflow.
Open-source Metaflow makes it quick and easy to build and manage real-life ML, AI, and data science projects. Explore with notebooks, develop with Metaflow, and test and debug locally. Results are stored and tracked automatically for easy analysis. Break out from the confines of a laptop or a single notebook. Scale out easily to the cloud, utilizing GPUs, multiple cores, and multiple instances in parallel. Metaflow organizes the work for easy collaboration on the way. Deploy experiments to production with a single click without changing anything in the code. Make flows react to updating data and other events automatically. Get started easily on a laptop. When you are ready to scale, deploy the Metaflow stack on your cloud account or on-premise Kubernetes cluster. Metaflow integrates seamlessly with your existing infrastructure, security, and data governance policies. To get a taste of Metaflow in the cloud, try Metaflow Sandbox in the browser. Deploy on EKS and S3, or AWS Batch & AWS Step Functions. Deploy on AKS and Azure Blob Storage. Deploy on GKE and Google Cloud Storage. For maximum flexibility, deploy on a custom Kubernetes cluster. Metaflow was originally developed at Netflix to address the needs of developers and data scientists who work on demanding real-life ML, AI, and data projects. Netflix open-sourced Metaflow in 2019. Today, Metaflow is used by hundreds of companies across industries, powering diverse projects from state-of-the-art GenAI and compute vision to business-oriented data science, statistics, and operations research. Create flows incrementally step-by-step with the new spin command Build agentic systems with the new recursive and conditional steps Compose flows with reusable custom decorators Use uv to manage dependencies, from dev to cloud Setup the full Metaflow stack on your laptop with one click Checkpoint long-running model training and other tasks with the new @checkpoint decorator Configure flows freely with the new Config object New APIs allow you to run and deploy Metaflow in notebooks and scripts Learn about various patterns of scalable compute with Metaflow. Train and fine-tune large language models and other generative AI models on AWS Trainium. Build observable ML/AI systems with cards that update in real-time. Install dependencies from PyPI as well as Conda in your Metaflow steps. Connect to external services securely using the new @secrets decorator. Metaflow 2.9 allows you to trigger workflows based on real-time events. Apache Arrow and Metaflow.S3 make it easy to process data fast. Learn how to use Metaflow for demanding GPU tasks. Develop with Metaflow, deploy on your existing Apache Airflow servers. Deploy and operate Metaflow on GCP and all other m
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