PaletteAI

Massdriver is a self-service infrastructure platform designed around the principle of prevention, not permission. It empowers operations teams to encode their expertise, and your organization’s security, compliance, and cost requirements, into pre-approved modules using the Infrastructure-as-Code tools you already know, such as Terraform, Helm, or OpenTofu. These modules become functional software assets, integrating policy and governance so developers can easily discover and provision them from a central service catalog. With built-in secrets management, monitoring, and ABAC, teams can manage multi-cloud deployments across AWS, Azure, GCP, and Kubernetes faster and more reliably. By replacing traditional, brittle CI/CD pipelines with ephemeral pipelines that spin up automatically from each module’s tooling, Massdriver frees DevOps and Platform teams to focus on innovation rather than maintenance. In short, it’s a self-service approach that cuts operational overhead, accelerate

Shakudo is the first secure AI operating system built for enterprise data stacks, enabling organisations to deploy, operate, and manage best-in-class data and AI tools on their own infrastructure with full control, governance, and minimal vendor lock-in. The platform can be installed within your VPC or on-premises, ensuring absolute data sovereignty while automating DevOps workflows across the full AI lifecycle, from rapid prototype to full production. It supports a curated library of 170+ open-source or commercial stack components (for example, orchestration tools, distributed compute frameworks, vector databases, LLM orchestration, and CI/CD pipelines), enabling teams to switch or adapt tools as needs evolve without rebuilding infrastructure. Shakudo’s unified control plane provides a single interface for managing tools, monitoring cost, enforcing policy, steering performance, and orchestrating models, jobs, and services.