FlexAI

FlexAI provides an environment to build, run, and scale AI workloads across models and agents. It targets developers, startups, and larger organizations seeking flexibility in where workloads run—on FlexAI’s cloud or in their own environment. The platform emphasizes governance, tooling, and open-model compatibility to support end-to-end AI pipelines.

Agents built on FlexAI are governed and executed through a unified surface that includes an easy UI, a CLI, and an API. The system lets teams bring knowledge, tools, permissions, and workflows into configurable agents, and switch models without rebuilding. It also supports private cloud deployment and dedicated endpoints for scale.

Open models across text, vision, code, and reasoning are served via an OpenAI-compatible API. The platform enables compatibility with OpenAI SDKs, and allows usage without signing up to try in-browser; signup is required for production use. It supports serverless as well as dedicated infrastructure options.

It emphasizes choice of models, runtimes, and hardware, along with governance and audit trails for agent runs and tool usage. The goal is to provide scalable, configurable AI compute with interoperability across environments.

Use cases

• Agents that generate, review, and repair code across your repo.
• Agents that retrieve, reason over, and synthesize large source sets.
• Agents that triage, answer, and resolve customer conversations.
• In-house copilots grounded in your documents and data.