AI and quantum computing platform for enterprise cloud optimization
Cloudangles builds a portfolio of IP-driven technology platforms spanning AI, quantum computing, cloud optimization, and MLOps. The tech stack is heavily Azure-centric (Functions, AKS, Data Factory, Logic Apps, DevOps all in active adoption), paired with TensorFlow and PyTorch, indicating a shift toward cloud-native AI infrastructure. The engineering-heavy hiring mix and active projects around modernizing legacy systems and adopting cloud-native practices suggest Cloudangles is scaling to migrate customers off older infrastructure toward containerized, AI-augmented workflows.
Cloudangles is an IP-driven technology company founded in 2021 that serves enterprise customers on digital transformation, cloud optimization, and AI integration. The company operates a suite of branded products: Dangles (AI data operations), Qangles (quantum computing), Cloudoptimax (cloud cost optimization), mlangles (MLOps/LLMOps), Testingaide (AI testing automation), Dataixpress (data migration), and Codebenders (code generation). Based in Folsom, California, with 501–1,000 employees and ongoing hiring in India, Cloudangles focuses on helping organizations reduce total cost of ownership, modernize legacy systems, and consolidate fragmented tooling across development and cloud platforms.
Cloudangles uses TensorFlow, PyTorch, AWS, Azure, GCP, Kubernetes, Docker, .NET, React, Node.js, and Datadog. The company is actively adopting Azure DevOps, Azure Functions, AKS, GitHub Actions, and Azure Data Factory.
Active projects include a quantum academy initiative, proof-of-concepts, modernizing legacy systems, integrating Microsoft Suite tools, adopting cloud-native practices, unifying field apps, and building mobile CI/CD pipelines.
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