Making AI Agents Work for Your Business
One platform to build AI agents, embed them easily into real app experiences, and manage configurations across environments.
Everything you need to serve people and teams at scale
Build, deploy, and continuously improve AI agents and apps across your enterprise.
One Platform For All Your Agents
Build agents, connect them to tools and knowledge bases, create hierarchies, and select models aligned with agent tasks. Ensemble's proprietary agent harness delivers consistently reliable agent results.
Agent Workflows in Natural Language
Specify agent workflows in natural language. Combine deterministic rules with LLM reasoning in hybrid flows so that your workflows match how your business actually runs.
Built-In Knowledge Management
Upload SOPs and docs. Configure retrieval and semantic search through a simple interface.
Connect to Any System
Build integrations with enterprise systems using many connection types. Secure credential management and audit logging built in.
Rich Conversational 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.
Don’t Fragment Your AI Stack
Ensemble is a unified agent and workflow orchestration platform that scales across the needs of every use case.
One Platform, Many Use Cases
Build your agent and workflow in natural language, using UI or hook the MCP to your coding agent.
More than RPA
Traditional RPA vendors fit LLMs onto rigid, rule-based automation. Ensemble handles dynamic, judgment-based orchestration that adapts to context.
Enterprise Ready
Security, compliance, observability, evaluations all built-in. Focus on building best experiences, not maintaining AI infrastructure.