Hessian
01 — Platform
Backed by Y Combinator

Infrastructure for
AI Native companies.

We forward deploy engineers to automate operations across your business with AI agents.

run_a1b2c3d4 · live executing
triggerfetch_dataclassifycall_agentroute_to_teamnotify
Integrations
  • Docker logo Docker
  • Kubernetes logo Kubernetes
  • Claude logo Claude
  • GitHub logo GitHub
  • OpenAI logo OpenAI
  • Postgres logo Postgres
  • Slack logo Slack
  • AWS logo AWS
  • Vault logo Vault
  • OpenTelemetry logo OpenTelemetry
  • Logo.dev logo Logo.dev
02
Build

Workflows and agents,
running everywhere.

Design agents and complex workflows as code. Connect tasks that run on Docker, Kubernetes, the cloud, or locally.

Visualise your workflow

Every step, every retry, every tool call. Live DAG view turns opaque agent execution into something you can actually debug and observe.

triggerfetch_dataclassifycall_agentroute_to_teamnotify

Workflows

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)

Real-time execution logs

Enable monitoring of workflows in real-time to see what's happening.

runs/run_a1b2c3d4 · logs --tail live
09:23:41.012 [INFO] Workflow triggered: daily_sync
09:23:42.234 [DEBUG] Initializing worker pool
09:23:43.456 [INFO] Starting task `fetch data`
09:23:44.678 [DEBUG] Task `fetch data` is running
09:23:45.890 [INFO] Connected to external API
09:23:46.123 [WARN] Rate limit approaching
09:23:47.345 [INFO] Task `fetch data` completed
09:23:48.567 [INFO] Task `process data` started
09:23:49.789 [DEBUG] Processing 1,234 records
09:23:50.012 [ERROR] Connection timeout
09:23:51.234 [INFO] Retrying connection...
09:23:52.456 [INFO] Task completed successfully
09:23:53.678 [INFO] Workflow: create_report
09:23:54.890 [DEBUG] Task `create_report` running
09:23:55.123 [WARN] Low disk space warning
09:23:56.345 [INFO] Report generated
09:23:57.567 [INFO] Artifact uploaded: report.pdf
09:23:58.789 [DEBUG] Cleaning up temp files
09:23:59.012 [INFO] Webhook delivered
09:24:00.234 [INFO] Workflow run completed

Secure by design

Audit logging and encryption built in to keep your data secure at every step.

Built to operate anywhere

We can operate Hessian in any environment, be it the cloud offering; your VPC; or your own airgapped environment.

~/acme
$ hessian start
→ starting up
→ starting worker (local)
✓ ready in 20s
$ hessian run triage

Policy-driven agent tools

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

03
Architecture

One plane.
Your infrastructure.

Hessian is a control plane + workers. Keep data in your infrastructure. Run workers anywhere.

HESSIAN CONTROL PLANESchedulerPolicy engineRun registryAudit logYOUR INFRASTRUCTURE · WORKERSLocalhealthyDockerhealthyKuberneteshealthyAWShealthyOn-premhealthyYOUR VPCYour dataNever leaves your network
04 — Servicing
Hessian accelerates your ops to be
AI native. We forward deploy to help you extract the most value.
H
Bao, James, Tom.
Hessian Inc.
05 — Join

Own your agents.
Own your runtime.

Join the waitlist. We're onboarding teams in small batches — early customers get direct access to the team that built it.