Technical background

Overview of technology

Sferal.ai is built on cutting-edge AI technologies, designed to integrate seamlessly into business environments while offering flexibility and power. The platform uses multimodal AI models, which means it can process various types of data-text, video, audio, and more- providing businesses with comprehensive tools to tackle diverse challenges. At the core of Sferal's capabilities is its use of Large Language Models (LLMs) and Named Entity Recognition (NER) technologies, which ensure high precision and adaptability when extracting information from large datasets. These models continuously learn and improve from user interactions, enabling businesses to automate even the most complex workflows without compromising accuracy or control​.

Integration capabilities

Sferal is designed to integrate effortlessly with the tools businesses already rely on. Whether you use Enterprise Resource Planning (ERP) systems for managing operations, Customer Relationship Management (CRM) platforms for tracking client interactions, or communication platforms like Slack, Teams, or email systems, Sferal AI Agents are designed to ensure smooth data flows between these systems.

This seamless integration allows businesses to maximize the use of existing technology while enhancing efficiency through AI automation. Additionally, Sferal offers robust API support, enabling custom integrations for businesses with unique or specialized workflows. This flexibility ensures that Sferal fits into any tech stack, allowing organizations to deploy AI without disrupting their operations​.