FlexAI provides managed AI infrastructure for developers and organizations building applications and agent-based workloads. Its Token Factory offers access to more than 30 open-weight models through a single OpenAI-compatible API, supporting tasks such as text generation, coding, vision, embeddings, image generation, and speech. Users can experiment in browser-based demos without an account, then use pay-as-you-go serverless inference or move to dedicated endpoints as demand grows.

For agent development, FlexAI’s AgentOS supports tools, scoped memory, approvals, evaluations, intelligent model routing, governance, and audit trails. The platform also offers fine-tuning and training capabilities, with infrastructure options extending from managed inference to private AI deployments in a virtual private cloud, on-premises, or air-gapped environments. Dedicated capacity is priced by GPU-hour, while private deployments are priced per deployment.

FlexAI emphasizes model flexibility, allowing teams to switch models without rebuilding applications, and provides a path from API-based experimentation to dedicated GPUs and private cloud. Its services are designed for startups, growing AI teams, enterprises, and system integrators.