Enterprise AI and ML deployment services on AWS, Azure, and GCP
Flexday AI delivers production AI and ML solutions for enterprise clients, with engineering resources split across infrastructure (Terraform, CloudFormation, Serverless) and data science (TensorFlow, PyTorch, scikit-learn). The stack reveals a services-first model: broad cloud platform coverage (AWS, GCP, Azure), multi-framework ML tooling, and emerging agentic AI capabilities (LangGraph, LangChain, Semantic Kernel) positioned alongside mature large-language-model integrations (OpenAI, Azure OpenAI, Anthropic, Gemini). Active hiring in engineering and data roles signals scaling of delivery capacity.
Flexday AI is a research-based AI and machine-learning services firm founded in 2020, headquartered in Naperville, Illinois. The company deploys cloud, AI, and ML solutions across multiple enterprise domains, with stated focus on NLP, large-language models, and scalable ML workflows. Core service areas include model development, agentic AI systems, data pipelines, and production deployment and monitoring across the three major cloud platforms. The organization operates with distributed hiring across the United States, Canada, and India.
AWS, GCP, and Azure. The stack includes Terraform and CloudFormation for infrastructure, plus native cloud SDKs. Production-grade AI components are deployed across all three platforms.
TensorFlow, PyTorch, Keras, and scikit-learn for model development. For LLM integration, the stack includes OpenAI, Azure OpenAI, Anthropic, and Gemini APIs, with LangChain, LangGraph, and Semantic Kernel for agentic AI.
Flexday 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.