Standardize Software Delivery at Thomson Reuters

Accelerate your journey from an information leader to an AI-first technology company. Cloudsmith unifies artifact management across multiple technologies while eliminating technical debt.

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How Cloudsmith Can Help Thomson Reuters

  1. Eliminate Artifactory maintenance toil
    Free your platform teams from patching servers and managing S3 backends. Cloudsmith is a fully managed, cloud-native SaaS that lets you focus on building the future of professional-grade AI.
  2. Standardize the TR-AWS CDK Library
    entralize and secure your core CDK constructs. Use private npm and PyPI repositories to ensure every project is "right by default" with automated compliance and tagging across your global teams
  3. Secure the AI software supply chain
    Use our Hugging Face registry to proxy, cache, and scan ML models. Enforce policy-as-code to block vulnerable or malicious assets before they reach your critical ModelOps pipelines.
Why Cloudsmith?

Genuinely cloud-native artifact management

You are migrating 500TB of data and 18,000 databases to the cloud. You shouldn't be managing the repositories that feed them. Cloudsmith aligns with your "engineering velocity" goals.
    Genuinely cloud-native by design
    We take care of infrastructure, high-availability, and replication. Your global teams get rapid access access to the artifacts they require via our edge-cached Package Delivery Network (PDN)
    Universal support for your polyglot stack
    From .NET Core and Java to Python and Docker, Cloudsmith serves as your universal source of truth. One platform for every format, environment, and team across Thomson Reuters.
    Align with your mandate to eliminate the "maintenance bottleneck"
    Automating the artifact layer frees your engineers to focus on AI innovation rather than legacy server upkeep.
Switch to Cloudsmith

Modern artifact management for a tech-first company

Compare the operational burden of legacy, self-hosted repositories with the efficiency of a managed, cloud-native service built for the speed of the modern Thomson Reuters engineering team.
Your current solutionManual S3 prefixing and managing EC2 instances for internal artifact servers.
With CloudsmithA fully managed, serverless platform that scales instantly with your global demand.
Your current solutionPotential throttling and latency during high-concurrency build bursts in your CI/CD pipelines.
With Cloudsmith A global Package Delivery Network that eliminates bottlenecks by caching assets at the edge for every region.
Your current solutionSecurity risks and manual vetting processes for public models sourced from Hugging Face.
With CloudsmithAutomated proxying, caching, and scanning of ML models with policy-based quarantine.
Your current solutionHidden costs in storage, egress, and engineering hours spent on "keeping the lights on."
With CloudsmithTransparent, usage-based pricing that supports your FinOps mandates and reduces technical debt.

Powering the TR-AWS CDK Core Library

Your monorepo strategy depends on a reliable way to distribute TypeScript and Python constructs. Cloudsmith provides the high-performance backbone for your internal package distribution, ensuring that every engineering team has access to the latest, compliant versions of your "TR-ified" AWS resources without the overhead of manual repository management.
  • High-availability internal npm and PyPI registries for your polyglot libraries
  • A truly cloud-native approach that eliminates hidden engineering resource requirements
  • Proxy and cache external models from sources like Hugging Face to ensure speed, consistency, and control.

Enterprise ModelOps with Hugging Face

As you scale CoCounsel and your AI Data Analyst Agent, you need more than just a place to store binaries. Cloudsmith’s ML Model Registry integrates directly with the Hugging Face SDK, allowing your researchers to manage models and datasets with the same rigor and security policies you apply to your software containers and packages.
  • Proxy and cache public models to mitigate "backdoor" and upstream risks
  • Scan AI artifacts for malware, vulnerabilities, and licensing compliance
  • Protect proprietary IP with fine-grained access controls and complete audit trails

Eliminating the maintenance bottleneck

Your team has noted that legacy systems compete with your AI roadmap priorities. Cloudsmith acts as an extension of your team by removing the burden of manual upgrades and maintenance. By moving to a genuinely cloud-native artifact manager, you reallocate senior engineering cycles toward building production-ready AI systems
  • Reduce technical debt related to artifact infrastructure across Thomson Reuters
  • Shift engineering focus from "keeping the lights on" to AI value creation
  • Predictable cloud operating costs to support your global FinOps initiatives
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Let's talk Artifact Management

Hi team Thomson Reuters,

I've been following your transformation into a world-class technology company, particularly Matt Dimich's focus on reducing technical debt to drive engineering velocity. It’s an inspiring shift, but I imagine that managing legacy artifact servers might still be a significant source of "toil" for your platform teams. At Cloudsmith, we help companies like yours take the heavy lifting out of the software supply chain. We built the only artifact platform that is genuinely cloud-native—no servers to patch, no S3 buckets to manage, and no scaling limits to hit.

Whether it's standardizing your TR-AWS CDK library or securing your Hugging Face models for CoCounsel, we'd love to show you how we can help your engineers stop spending their time "keeping the lights on" and start shipping the future of professional-grade AI.

Let's chat about how we can help you move faster.