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AI Concierge,
For Everyone

One platform to orchestrate personalized AI agents for your customers, employees, and partners.

SOC 2
ISO 27001
HIPAA
GDPR
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AI Concierge
Platform

Everything you need to serve people at scale

One platform to build, deploy, and continuously improve AI concierge experiences.

Explore the platform

Concierge Workflows in Natural Language

Build complex real-world workflows without code. Ensemble translates your business flows into orchestrations of agents, system prompts, and agent tools.

Supervisor Agent
Agents
Tools
Knowledge Bases
Workflows

One Platform For All Your Agents

Manage every agent from a single interface. Create hierarchies, share knowledge bases, and design multi-agent workflows.

Built-In Knowledge Management

Upload SOPs and docs. Configure retrieval and semantic search through a simple interface.

JS · SQL · HTTP · API

Connect to Any System

Build integrations with enterprise systems using many connection types. Secure credential management and audit logging built in.

Rich Concierge Interfaces

Embeddable chat widget that agents dynamically adapt for every interaction and channel.

Use AI to Improve AI

Collect user feedback and improve agent context continuously. Track satisfaction rates and identify areas for improvement.

Agent and Workflow Observability

Continuous verification. Native support for Evals, Traceability, Verification Agents, and Human Feedback.

Deploy Your Way

Choose public cloud, private cloud, or self-hosted. The deployment option that fits your requirements.

Why Ensemble

Don’t Fragment Your AI Stack

Ensemble is a unified agent and workflow orchestration platform that scales across the needs of every persona.

01

One Platform, Many Use Cases

Build your agent and workflow in natural language, using UI or hook the MCP to your coding agent.

02

More than RPA

Traditional RPA vendors fit LLMs onto rigid, rule-based automation. Ensemble handles dynamic, judgment-based orchestration that adapts to context.

03

Enterprise Ready

Security, compliance, observability, evaluations all built-in. Focus on building best experiences, not maintaining AI infrastructure.