Product Features

Years of accumulated institutional knowledge — technical documents, forms, policies, photos, audio and video — too often stay out of reach because the data is sprawling, siloed, and inconsistently managed. FedGPT pairs LLMs with multimodal models to ingest text, images, video, and audio, supporting 10+ common formats including PDF, Word, MP3, and JPEG so enterprises can build their own knowledge base.

AgentTeam RAG gives AI Agents proactive reasoning: they decompose questions, combine multi-source knowledge, and respond in context. In field tests, AgentTeam RAG cut search time by 60–80% for participating teams, and retrieval stayed stable across millions of pages. It acts like a senior consultant on standby, turning knowledge into a real-time basis for decisions.

Let AI Agents tackle the complex, repetitive, time-consuming cross-functional tasks that slow teams down.

FedGPT provides an intuitive low-code/no-code interface for building AI Agent workflows — no technical background required. Anyone can trigger a team of specialist AI Agents through conversation to automate approvals, customer support, paperwork, and other cross-department work.

The platform supports the MCP and A2A standards, integrating with internal systems and external communication tools so AI Agents slot into existing workflows. Automated flows reduce human error and no longer break when staff change roles — freeing teams from repetitive work to focus on creating value.

When a nurse says a conscious patient is "clear," does your AI think they mean "clean"? Does it fail to recognize the CEO in a batch of photos? International open-source LLMs struggle with enterprise-specific context — FedGPT understands it.

AgentTeam Tuning lets enterprises tune the platform's built-in LLM and multimodal models (including ASR for speech and VLM for object recognition) into a brain that knows the business best. The data cleaning and formatting traditionally required for tuning is handled by a built-in Agent that synthesizes training data in the correct format — so you can tune models without deep ML expertise. FedGPT becomes an AI that evolves with the company: the more you use it, the better it understands you.

Open-source LLMs can inherit and amplify biases from their training data. How do enterprises adopt AI without risking confident-but-wrong answers? FedGPT's built-in Guardian keeps the LLM measured and objective.

Guardian is the enterprise's gatekeeper, with built-in self-review. It blocks biased, discriminatory, or violent language and ensures FedGPT's responses are appropriate and grounded. Embodying trustworthy and responsible AI, it lets enterprises deploy with confidence and protects brand reputation.