Bring agentic systems into production without losing control.
Heym helps AI, platform, and automation teams deploy, observe, and govern business-critical agents and workflows on their own infrastructure today, with Heym Cloud coming soon.
Most teams can build an impressive agent prototype in a week. Production is where things stall: nobody can say exactly what the agent did, what it cost, or who approved the action it took. Heym runs agentic workflows and enterprise AI workflow automation as business-critical systems, with the control, visibility, and support that production demands.
- Deployment on infrastructure you choose
- End to end visibility into every execution
- Human control over critical actions
- Setup, integration, and production support
Deploy on infrastructure you control
Run Heym on-premises, in your VPC, or air-gapped. Self-hosted deployment means customer and revenue data never leaves your servers, and because Heym is source-available, security can audit every line before you ship. You bring your own models and credentials, so there is no lock-in to switch away from.
- Self-hosted, your customer and revenue data never leaves your infrastructure
- Source-available and fully auditable, hand security the actual code
- Encrypted credentials at rest, keys and connections stay protected
- Bring your own models (OpenAI, Ollama) and infrastructure with zero lock-in
- Teams with shared, access-controlled credentials
- Production Kubernetes assistance for high availability and horizontal scaling
Deploy anywhere
Stand it up in minutes with run.sh or Docker Compose, or run it on Kubernetes for high availability. Full control of the runtime stays with your team.
Inspect every execution
Every workflow run produces a full trace: each node, each agent decision, each tool call, and each model call with token and cost visibility. When something fails, you see where and why instead of guessing. Read the AI agent observability guide for how teams debug agents in production.
- Per-run traces across nodes, agents, and tool calls
- Token and cost visibility for every model call
- Failure points surfaced with inputs and outputs
- Native OpenTelemetry export to the stack you already run
Human approval before critical actions
Agents draft, people decide. Add human-in-the-loop checkpoints before emails go out, records change, or money moves. Reviewers see the full context, approve or reject, and the workflow continues or stops. Nothing critical happens unattended unless you decide it should.
- Approval steps before irreversible actions
- Reviews with full execution context
- Pause and resume runs under human control
- Every approval recorded in the run trace
Connects to the systems you already run
Native nodes cover GitHub, Jira, Slack, Telegram, email, Google Sheets, BigQuery, and more. HTTP and webhook nodes reach any internal API, and MCP support connects Heym to the growing ecosystem of tool servers. When you need a connector that does not exist yet, we build, package, and deliver it as a plugin for your deployment.
- First-party nodes for code, data, and messaging systems
- HTTP, webhook, and cron nodes for anything custom
- MCP support for the growing ecosystem of tool servers
- Custom nodes and plugins developed on demand for your systems
Where enterprise teams start
Three patterns that turn agentic systems into dependable operations.
Start with a Heym Production Pilot
Bring one valuable workflow into production in four to six weeks. We help your team deploy Heym, connect one or two core systems, add approval checkpoints, and establish tracing and cost visibility. The engagement starts with agreed success metrics and ends with a production rollout plan and a commercial licensing proposal.
- One real business process, deployed on your infrastructure or Heym Cloud when it opens
- One or two core integrations connected
- Human approval checkpoints where they matter
- Tracing and cost visibility from day one
- Technical onboarding for your team
- Success metrics agreed before we start
Commercial licensing and production support
Enterprise customers pay for reduced production responsibility, not just software. Engagements can include commercial licensing, deployment and onboarding, migration support, custom integrations, managed upgrades, architecture reviews, and agreed response times for production issues.
- Commercial license for internal and customer-facing use
- Deployment, onboarding, and training for your team
- Migration support from existing automation tools
- Custom integrations built for your systems
- Managed upgrades and priority engineering support
- Security and architecture reviews
- Agreed response times for production issues
Book an enterprise demo
Tell us about your team and the workflow you want in production. We will tailor a walkthrough to your stack, or reach us at enterprise@heym.run.
AI workflows don't fail because of prompts. They fail because of orchestration.
One canvas for agents, RAG, human-in-the-loop, MCP, traces, evals, and alerts, self-hosted and observable.
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