I learned to code in BASIC on a Commodore 64 in the early 1980s. BASIC was actually a pretty neat high-level abstraction of assembly language, which itself was an abstraction sitting on top of machine code! Since then, I’ve seen a steady stream of higher-level abstractions - relational databases, object-oriented languages, package dependencies, open source libraries, cloud-native development, containers, serverless - that have made software developers more productive, and helped us build ever more powerful applications with them.

AI is the latest abstraction layer that sits on top of existing technology, making the underlying components more powerful and easier to use. A huge amount of R&D and startup capital in the past few years has gone towards exploiting this new abstraction.

The newest and best ideas naturally attract top talent and funding. Companies and startups building cool new AI-powered apps have their choice of tech stack. And many of them are creating their new software development tool chains around Cloudsmith, which is very satisfying to Cloudsmithers.

Consider Franklin.ai, who built an AI-powered platform pathologists use to diagnose cancers. They manage binary packages in Cloudsmith that they use to build for a wide variety of target environments. Or Aicadium, who builds industrial computer vision applications that improve quality and productivity, using Cloudsmith to manage binary artifacts that go into their build pipelines. Hyperscience provides a machine learning platform for document processing and automation, built on Cloudsmith for internal development and external distribution of containers and packages. And Xapien, who have built an AI-powered due diligence platform, using Cloudsmith as their single source of truth for binary artifacts.

Companies that build critical infrastructure for use by other AI companies are also gravitating to Cloudsmith. Take DataHub, who helps organizations use, manage, and govern AI metadata with their enterprise-grade context platform. They chose Cloudsmith to make sure their artifacts are reliably and securely distributed to enterprise developers. Or Tangram Vision, who distributes their SDKs and runtimes via Cloudsmith for delivery of AI-driven perception solutions to robotics and computer vision tool companies. Then there’s Vespa.ai, an open source AI search platform used to develop and run large-scale applications, combining big data, vector search, machine-learned ranking, and real-time inference to enable AI applications like retrieval-augmented generation, recommendation, and intelligent search at enterprise scale. Cloudsmith supports distribution for Vespa, streamlining delivery for their open source community as well as enterprise users.

And then it’s companies who deliver AI directly to the hands of end users. Haltia.AI calls itself “the world’s most private AI,” assisting users in real time across a wide range of personal tasks. They use Cloudsmith to build and distribute packages across the software supply chain.

Cloudsmith is best known for our enterprise-grade artifact management platform, which controls and secures the software supply chain for the world’s most demanding Fortune 500 and Global 2000 organizations. But there’s a reason we also show up so often as the platform of choice for innovative AI startups and spinoffs. These companies are typically run by lean teams of seasoned software engineers. They know what they need, and they want to do it right the first time. They want developer-friendly, well-documented tools that just work.

Customers can use Cloudsmith’s ML model registry to manage their Hugging Face models and datasets, and we’re increasingly powering our own development of new features with AI tools. But it’s also notable that the world’s most interesting AI companies are also choosing Cloudsmith - not just to manage ML models, but to power their entire software supply chain. That’s a vote of confidence that makes us proud to be Cloudsmithers.