Infrastructure for
AI Native companies.
We forward deploy engineers to automate operations across your business with AI agents.
We forward deploy engineers to automate operations across your business with AI agents.
Design agents and complex workflows as code. Connect tasks that run on Docker, Kubernetes, the cloud, or locally.
Every step, every retry, every tool call. Live DAG view turns opaque agent execution into something you can actually debug and observe.
Our workflows are written with standard Python code, which is designed to be unobtrusive and lets you run them anywhere.
# workflow.py from hessian import workflow, task, agent @task(retries=3, timeout="30s") def fetch_data(src: str) -> dict: return http.get(src).json() @agent(model="claude-haiku", policy="ticket-triage") def classify(ticket: dict) -> str: """Route a ticket to the right team.""" @workflow def triage(ticket_id: str): data = fetch_data(f"/tickets/{ticket_id}") label = classify(data) route_to_team(ticket_id, label)
Enable monitoring of workflows in real-time to see what's happening.
Audit logging and encryption built in to keep your data secure at every step.
We can operate Hessian in any environment, be it the cloud offering; your VPC; or your own airgapped environment.
Define flexible policies to control what actions your AI agents can take. Restrict by time, user, environment or any custom condition.
Get weather data
Automatically approved - non-sensitive information retrieval
Allowed
Delete processed data
Blocked - destructive filesystem operations require explicit user approval
Denied
Send marketing email to users
Requires confirmation - needs approval before sending emails to users
Input Required
Hessian is a control plane + workers. Keep data in your infrastructure. Run workers anywhere.
Hessian accelerates your ops to be
AI native. We forward deploy to help you extract the most value.
Join the waitlist. We're onboarding teams in small batches — early customers get direct access to the team that built it.