CTO.ai operates a managed internal developer platform built on Kubernetes, Terraform, and AWS, with a tight focus on API and cluster performance optimization. The company pairs platform delivery with professional services—application modernization, platform engineering, and cloud infrastructure management. Minimal hiring velocity (no roles posted in 30 days) and a small, senior-heavy team (3 senior, 2 mid-level across 5 open roles) suggest a services-led, specialist-focused model rather than rapid product scaling.
CTO.ai is a Vancouver-based platform engineering firm founded in 2017. The company delivers a managed internal developer platform alongside professional services for application modernization, platform engineering, and cloud infrastructure management. The platform is built on Kubernetes, Terraform, and AWS, with a modern full-stack (Node.js, React, TypeScript, Go). The value proposition targets mid-market and enterprise engineering teams who want to reduce the operational overhead of managing DevOps and infrastructure tooling in-house. The team is structured around sales, engineering, product, and support, with current hiring concentrated in senior and mid-level roles.
CTO.ai's stack includes Kubernetes, Terraform, AWS, Go, Node.js, React, TypeScript, Python, Kong, Istio, Keycloak, RabbitMQ, and Harbor. The platform is orchestrated on Kubernetes with infrastructure-as-code via Terraform and AWS CDK.
CTO.ai is based in Vancouver, BC, Canada. Founded in 2017, the company operates as a privately held organization with 11–50 employees.
CTO.ai's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.