Our Story
Ten Points was founded by a team of ML infrastructure experts who witnessed firsthand how infrastructure complexity slows down innovation. Having built ML platforms at leading tech companies and deployed models on some of the world's largest compute clusters—including the Massachusetts Life Sciences Center and Cedar in Canada—we recognized that data scientists and ML engineers should focus on training models, not managing infrastructure.
Our name, Ten Points, represents the ten fundamental pillars of robust ML infrastructure: scalability, reliability, observability, security, performance, automation, compliance, governance, collaboration, and innovation. Using Infrastructure as Code with Terraform across AWS, GCP, Azure, and specialized ML infrastructure like SambaNova and Cerebras, we build platforms that excel under pressure while remaining vendor-agnostic and reproducible.
Today, we partner with enterprises across industries to design, build, and optimize ML platforms that remove infrastructure burden and accelerate time-to-value. From startups scaling their first models to Fortune 500 companies transforming entire ML operations, we deliver infrastructure that just works—so you can focus on the models that matter.