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Creating an AI Agent

raia delivers a secure framework for building, training and testing
AI Agents powered by OpenAI Foundational Models.
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AI Agents Platform
Enterprise Ready

Every Agent securely managed in one place.

raia’s Launch Pad makes it easy to build and manage AI Agents powered by OpenAI models. Users can customize an agent’s role, skills, and data sources through a simple, no-code interface, while maintaining full control over training, updates, and integrations​. It turns complex AI development into a fast, secure, and manageable process for businesses.

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AI Agents Platform
Plug-n-Play Skills and Tools

Easily add Skills to your Agent

raia’s modular Skills system allows users to easily extend the capabilities of their AI Agents by adding prebuilt or custom Skills that provide specialized functionality. This plug-and-play approach gives Agents true "agency"—the ability to take meaningful action—by enabling seamless integration with external systems (like CRMs or calendars), enhanced communication (via email, SMS, and APIs), persistent memory (for storing context across interactions), and advanced training logic (like conditional responses or document analysis).

Additionally, auditing Skills provide visibility into decisions and actions taken by the Agent, ensuring transparency and control. By layering Skills, users can rapidly evolve their AI Agents into powerful, autonomous digital workers tailored to specific business needs.

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AI Agents Platform
Integrated Training

Train AI Agents with Ease

With the Raia platform’s Launch Pad, users can easily upload documents and provide specific instructions to train their AI Agent. The intuitive interface allows users to drag and drop files—such as PDFs, Word documents, and spreadsheets—directly into the platform. Once uploaded, users can enter natural language instructions that guide the AI on how to interpret and use the content for accurate responses.

These instructions can include context, rules, or preferred answer styles, enabling the Agent to deliver responses aligned with company standards or end-user expectations. This streamlined process empowers users to quickly train and deploy intelligent agents without needing technical expertise.

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