FLAI services

Integrate AI. Enable RAG. Orchestrate workflows.

A structured path from private model hosting to context-aware AI and workflow orchestration—aligned with how FLAI is built to serve high-compliance industries.

Three steps to a full private AI platform

Start with integration and private models, add RAG and context, then orchestrate workflows and automation—at your own pace.

Step 1

Integrate AI & private models

Deploy AI on your network. Host and manage private or public LLMs on your infrastructure; monitor usage across your AI network. The foundation: your models, your hardware, full data sovereignty.

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Step 2

RAG & context

Find context for siloed data. Turn documents and knowledge bases into context-aware responses—secure search, summarization, and Q&A over proprietary data. Your private AI becomes a company-wide knowledge layer.

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Step 3

Orchestrate workflows

Task orchestration and agentic behaviour. Connect RAG to real workflows—approvals, notifications, compliance logging, reports—and orchestrate sensors, IoT, and robotics. Private automation without public cloud.

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Optional: Model fine-tuning & training

Step 4 in our roadmap: fine-tune and train models on your context inside your infrastructure to bolster NLP for your domain. Available as part of private AI integration or as an advanced add-on.

Not sure where to start? We’ll map your needs to the right step.

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