AI Agent Builder · Commercial platform to create and operate AI agents

Create, connect and operate AI agents for every customer channel

AI Agent Builder combines visual creation, AI-assisted setup, reusable templates, real system connections, and multichannel operations in a multi-tenant platform ready to sell, deploy, and scale.

Try agent How it works

Operational flow

Support agent

Create the agent

Use the visual builder, AI-assisted creation, templates, or an existing configuration as the starting point.

Assign knowledge

Connect knowledge bases, documents, memory, and business context.

Connect actions

Use MCP, OpenAPI or webhooks to read data and execute workflows.

Operate in real channels

Publish to web, voice, WhatsApp, Slack, Teams or REST with guardrails and observability.

Available connections

MCP

OpenAPI

Webhook

Flexible creation

Visual, AI-assisted, or template-based

Multi-provider LLM

OpenAI, Anthropic, Google, Ollama, and any OpenAI-compatible endpoint

Auto-failover

Circuit breaker + multi-provider fallback chains

MCP / OpenAPI / Webhooks

Tools, APIs, and automation endpoints

Guardrails

Moderation, PII, injection defense

Observability

Timeline, cost tracking, feedback scoring

Multichannel

Web, voice, WhatsApp, Slack, Teams, Instagram, REST, OpenAI-compat

Multi-tenant

Complete isolation per organization

Non-LLM automation

Cron, code, direct tools — zero tokens

Multimodal

Vision, documents, and image generation

Built-in billing

Plans, consumption limits, Stripe checkout

Capabilities that work together

The platform is not a loose list of modules: each layer prepares the agent to answer with context and act on real systems.

Agent creation

Start from scratch, ask AI for help, use templates, or adapt existing agents depending on the case.

See platform →

Action connections

Connect REST APIs, MCP servers, and webhooks. The agent discovers tools automatically and invokes them as needed.

See integration →

Knowledge base & RAG

Load documents or sync sources like S3 and Confluence. The agent uses that context to answer with verifiable information.

See RAG →

Multimodal & image generation

Users send images and documents in chat. The agent sees, analyzes, and responds in context. It also generates images on demand — rendered inline with click-to-expand.

See platform →

Web integration in 3 lines

The widget embeds in any web app with a script tag and an init call. Renders in shadow DOM — no CSS conflicts. Fully customizable from the admin panel.

Try agent

<script src="https://your-server/widget/std-chat-widget.iife.js" defer></script>
 
<script>
  window.StdChatWidget.init({
    apiUrl: "https://your-server/chat",
    scope: { tenantId: "my-org", agentKey: "support-agent" },
    panel: { width: 420, mode: "drawer" }
  });
 
  window.StdChatWidget.setAvailableContext([{
    id: "customer",
    label: "Active customer",
    payload: { customerId: "1042" },
    mode: "silent"
  }]);
</script>