Fusioni Platform

Explore the PlatformBuild and run AI workflows.

Fusioni Platform brings agents, visual journeys, models, prompts, MCP tools, crawlers, documents, memory, execution tracing, analytics, and access control into one production AI workspace.

Design multi-step AI workflows without losing operational control

Ground answers in knowledge bases, documents, APIs, and tools

Move from prototype to production with security and observability

Agents

Specialized roles

RAG

Grounded answers

APIs

Action-ready tools

Agent personas, visual journeys, and execution timelines

Configure specialized agents, personas, judge-agent review, and visual journeys with coordinated handoffs.

Crawlers, documents, media, knowledge, and memory stores

Turn websites, documents, images, video, knowledge stores, and memory into grounded context.

Model and prompt catalogs, secured tools, and MCP gateways

Manage models, prompts, authenticated tools, reusable capabilities, OpenAPI integrations, and MCP gateways.

Collaboration, usage analytics, security, and per-site SDK clients

Track execution traces, tokens, costs, crawler health, collaboration, and access from one production console.

How teams use it

A workflow you can still understand.

Fusioni Platform keeps the work visible from design to execution. Teams define the knowledge, tools, and agent behavior in one place, then monitor how workflows run in production.

Connect knowledge and tools

Bring in documents, knowledge bases, APIs, and internal systems so agents can work with trusted context.

Design the journey

Create multi-step workflows with branching, tool calls, human handoff, and clear execution paths.

Run and observe

Track executions, messages, tool calls, and outcomes so teams can improve workflows over time.

Control access and deployment

Use roles, tokens, and deployment options that fit enterprise pilots and production systems.

Want to see it in action?

Request a live demo focused on your use case.

Complete platform

More than agent orchestration.Every layer for production AI.

Build the intelligence, connect the systems and knowledge it needs, then operate every workflow with clear controls and visibility.

Platform layer 1

Build intelligence

Define how agents reason, what models and prompts they use, and which approved capabilities they can access.

Specialized agents and personas

Create facilitator, supervisor, functional, summarizer, renderer, or standalone agents with personas, behavior rules, grounding, context awareness, and judge-agent review.

Model and prompt catalog

Register provider models with token limits, temperature, version, cost, and image support, then manage tagged prompt templates centrally.

Authenticated tools

Give agents custom or schema-driven tools with OAuth, API key, bearer, or username/password authentication, approval controls, and reusable results.

Reusable capabilities and actions

Package active tools, agents, journeys, and literal actions into reusable building blocks that teams can enable across workflows.

MCP gateways and servers

Add MCP servers from a catalog, configure environments and secrets, inspect gateway status, and select the exact server tools a workflow may use.

Platform layer 2

Orchestrate work

Turn agents and services into visible journeys, run them on demand or on a schedule, and inspect every execution.

Visual journey designer

Combine agent and service steps in a visual flow graph, attach capabilities, control active versions, and keep the execution path understandable.

Async and scheduled runs

Execute journeys synchronously or asynchronously and schedule recurring jobs with cron rules or delayed starts.

Execution timeline and traces

Inspect processes and individual executions with status, inputs, outputs, errors, duration, tool usage, metadata, and trace history.

Live event streaming

Use server-sent events for real-time responses and workflow updates while long-running work continues in the background.

Platform layer 3

Ground every answer

Create a managed content pipeline from websites, documents, media, knowledge bases, and durable memory.

Documents, media, and publishing

Manage raw content, images, and video; generate keywords; chunk and embed content; and follow publication status before it becomes searchable.

Configurable knowledge stores

Choose storage and retrieval settings such as search type, result limits, score thresholds, chunk limits, vector similarity, size, and retention.

Production website crawler

Control domains, exclusions, depth, headers, user agent, robots rules, redirects, selectors, extraction rules, request delays, and crawl frequency.

Memory and context controls

Run separate memory stores with size and retention policies, then tune history limits, context tokens, language, timezone, and summarizer agents.

Platform layer 4

Operate with control

Collaborate in conversations, monitor usage and cost, configure website clients, and govern each workspace.

Collaborative conversations

Bring users and agents into shared conversations, select active persona agents, search and organize threads, and tune fixed or adaptive response timing.

Usage, cost, and crawler analytics

Monitor input and output tokens, total cost, execution health, crawled pages, errors, status distribution, and time-series performance.

Per-site SDK clients

Configure each website client with theme, color, placement, language, launcher style, conversation list, voice, file upload, and role permissions.

Organizations, roles, and tokens

Manage tenants and agencies, users, roles, API tokens, onboarding, passwords, workspace defaults, and security boundaries.

Portable platform configuration

Import and export agents, journeys, documents, models, prompts, tools, MCP connections, storage definitions, roles, settings, and other platform resources.

All of these capabilities are part of the same Fusioni control plane, so teams can move from a focused pilot to a governed production workflow without rebuilding the stack.

API Integration

API orchestrationwith OpenAPI

Define OpenAPI specs so agents can call external APIs inside workflows that connect to the services you already use.

OpenAPI Specification

Define your API endpoints with standard OpenAPI 3.0 specs.

Agent API Calls

Let agents call external APIs based on the workflow context.

Automated Orchestration

Combine multiple API calls with validation, branching, and decision logic.

Key Benefits

Standard OpenAPI 3.0 specification support

Automatic API discovery and documentation

Intelligent parameter mapping and validation

Error handling and retry mechanisms

Rate limiting and security controls

Real-time API call monitoring and logging

openapi-spec.yaml

openapi: 3.0.0
info:
  title: Weather API
  version: 1.0.0
paths:
  /weather/{city}:
    get:
      summary: Get weather for city
      parameters:
        - name: city
          in: path
          required: true
          schema:
            type: string
      responses:
        '200':
          description: Weather data
          content:
            application/json:
              schema:
                type: object
                properties:
                  temperature:
                    type: number
                  condition:
                    type: string

Agent Usage

"Get the weather for Athens, Greece and suggest appropriate clothing"

Agent automatically calls /weather/Athens API

Fusioni SDK

Embed AI Chat in Minuteswith @fusioni/client-sdk

Add a floating chat widget, connect it to your Fusioni workspace, and let users talk to your AI assistant or to your product content through Site Assist.

@fusioni/client-sdk

A lightweight React SDK that adds Fusioni chat to your website with one import.

Floating Chat Widget

Drop-in chat UI with conversations, voice messages, file uploads, and real-time streaming—customizable theme and position.

Ready for Fusion Site Assist

Power Fusion Site Assist: we crawl your site, build RAG from your content, and the SDK lets visitors chat with your products.

Why developers choose it

npm install @fusioni/client-sdk — one dependency

TypeScript, React 16.8+, theming, and events

Audio, file upload, conversation list out of the box

Powers Fusion Site Assist and custom integrations

App.tsx

import { ChatWidget } from '@fusioni/client-sdk';

function App() {
  const config = {
    apiBaseUrl: 'https://api.fusion-ai.com',
    agencyId: 'your-agency-id',
    theme: 'light',
    position: 'bottom-right',
    primaryColor: '#6366f1',
  };

  return (
    <div>
      <h1>My Website</h1>
      <ChatWidget config={config} />
    </div>
  );
}

Fusion Site Assist

Use the same SDK with Fusion Site Assist: we crawl your site, build RAG, and your visitors chat with your products—no extra code.

Add chat in minutes

Add the widget, connect your workspace, and enable Site Assist when you want visitors to ask questions about your products.