Multimodal AI delivers a ready-to-use portfolio of AI agents that address various business needs. Each agent in the suite is pre-built for a category of tasks: for instance, Unstructured AI focuses on analyzing unstructured text and pulling out insights, while Database AI can turn raw data into natural language answers or reports (36 Top Agentic AI Vendors in 2024 + 3 Free Options). A key aspect of Multimodal’s offering is easy integration – the agents are designed to plug into existing software like CRM systems, knowledge bases, or communication platforms. This means if a company wants an AI to answer employee HR questions, the Conversational AI agent can be connected to the HR policy docs and deployed on Slack or Teams in short order. Multimodal’s agents also work together; a client could chain Document AI and Decision AI so that incoming invoices (handled by Document AI) are automatically decided for payment or escalation (via Decision AI). Under the hood, these agents use a mix of generative AI and domain-specific models, all orchestrated by Multimodal’s platform which handles security, data connectivity, and continuous learning. The real-world applications are wide: Multimodal’s clients have used its agents to classify millions of support emails and route them appropriately, generate first drafts of marketing content to speed up creative teams, and answer thousands of routine IT support queries for employees without human help. By offering multiple specialized agents under one roof, Multimodal AI enables enterprises to incrementally automate parts of different processes with a unified approach. The impact is often significant efficiency gains (e.g., reducing manual document processing by >70%) and freeing human workers to focus on higher-value tasks. Multimodal AI’s emphasis on tailoring agents to each customer’s data (mimicking a company’s “top performers”) ensures the AI integrates smoothly and delivers value from day one (36 Top Agentic AI Vendors in 2024 + 3 Free Options).