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Weights & Biases
Weights & Biases by CoreWeave is where AI researchers and engineers track what they build and make the next version better. Weights & Biases Models accelerates model development, whether you're training or post-training, with experiment tracking, scalable hyperparameter sweeps, interactive analysis, and automated workflows. It's part of CoreWeave Forge, the development layer for the whole AI loop: run, observe, curate, improve, evaluate, and run again. Forge stays open to any model, framework, or cloud. Closed loop. Open stack. Start building on CoreWeave Forge: https://www.coreweave.com/products/coreweave-forge
San Francisco, California, US
Private
$37.8M Revenue
https://wandb.ai/site
287 Employees
Seldon
Since 2014, Seldon has been at the forefront of developing global infrastructure that enables enterprises to take control of complexity in machine learning. Our platform empowers businesses to deploy, manage, and scale ML models with maximum flexibility, enhanced observability, and cost-efficient modularity—ensuring AI delivers real business impact. Seldon Core 2 introduces a data-centric approach, ensuring businesses can confidently manage, monitor, and optimize the entire ML lifecycle. By focusing on real-time deployment, standardization, and interoperability across infrastructures, Seldon enables seamless scaling and integration with existing workflows. Our customers, including Capital One, Verizon, IKEA, Volkswagen, and more, rely on Seldon to power AI-driven decisions daily while maintaining agility and cost efficiency. With productivity gains of up to 92% and substantial savings in machine learning operational costs, global enterprises continue to choose Seldon for its framework-agnostic, scalable, and real-time AI deployment capabilities. Headquartered in London, Seldon supports a global customer base, accelerating the adoption of AI by removing barriers to deployment and operationalizing ML at scale.
UK
Private
$5M Revenue
https://www.seldon.io
85 Employees
Grupo Fernapi
DO
Private
https://fernapi.readthedocs.io
4 Employees

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