FlowAI raises $95M Series C to scale multimodal LLMs and developer tooling

AI · 6 min read

FlowAI’s models support text, image, and short video inputs and are offered via an inference API with latency SLAs and model customization. The company will invest heavily in dataset curation, retrieval-augmented pipelines, and a hosting layer that supports on-prem and hybrid deployments for compliance-focused customers.

A major focus for FlowAI is developer ergonomics: the startup is releasing a local sandbox runtime and improved SDKs for common enterprise languages, alongside an orchestration dashboard for deploying model ensembles. FlowAI also teased privacy-preserving training primitives that reduce the need to centralize sensitive data.

Investors cited rapid enterprise adoption across healthcare, legal, and media. FlowAI will hire across ML infrastructure, data governance, and sales to support a projected tripling in ARR over the next 12 months.