AI-first orchestration for startup teams

Deploy AI agent jobs.
Orchestrate production with confidence.

ZetaPad helps AI-first teams launch orchestration pipelines, agent workers, and supporting APIs without hiring a full platform engineering team.

5m 12s

Median first deploy

99.9%

Agent job success

<5s

Job startup latency

<2m

Rollback recovery

Trusted by teams building fast:

NeonArcSignal ForgeOrbitlyQuietloopPrompt HarborNorthstar AI

Agent orchestration cockpit

Project: support-agent-stack

Healthy
ZetaPad runtime overview

Deploy event

`planner-worker` scaled to 6 replicas

Billing guardrail

Budget policy active: stop at zero balance

Why teams switch

Startup speed with production-grade confidence.

ZetaPad gives product teams the shipping velocity of a lightweight platform with the control surfaces of mature infrastructure.

Agent jobs, APIs, and workers in one orchestration plane

Ship the full AI application stack without stitching together disconnected schedulers, queues, and runtime tools.

Deterministic runtime for multi-agent systems

Run planners, tool workers, and async jobs with clear policies, health checks, and predictable operational behavior.

Spend and safety guardrails built in

Prepaid billing, threshold actions, and fast rollback controls keep growth from turning into operational chaos.

Inside the platform

One runtime view for every release.

Live topology, deployment trails, and runtime signals stay unified, so your team can move quickly without losing operational clarity.

Source-aware deploys for GitHub, image registries, and ZIP bundles.
Human and agent workflows share the same consistent action model.
Built-in release safety with fast rollback and workload controls.
Pipeline and runtime orchestration

How teams launch on ZetaPad

A clean three-step path from commit to stable production.

1

Connect code, image, or repo

Point to GitHub, Docker image, or ZIP package and let ZetaPad build the runtime automatically.

2

Define agent jobs and services

Configure worker mode, triggers, resources, and regions for every component of your AI workflow.

3

Operate with one orchestration control plane

Monitor logs, restart workloads, and automate rollouts through API and UI parity.

Built for how modern teams work

For founders

  • - Ship faster than cloud migration timelines
  • - Get predictable bills from day one
  • - Keep the stack simple while validating product

For product teams

  • - Standardize deploy workflows across services
  • - Shrink incident recovery time
  • - Bring platform consistency without heavy ops overhead

For AI builders

  • - Deploy model-facing APIs and workers together
  • - Trigger runs from orchestrators and agents
  • - Maintain clear runtime boundaries and observability

FAQ

Can we run both APIs and background jobs in one workspace?

Yes. You can deploy long-running services with live URLs and run-to-completion jobs in the same project scope.

How does spending protection work?

Usage is prepaid. You can configure warning thresholds and zero-balance behavior so workloads pause or stop instead of creating surprise overage.

Is this suitable for teams without dedicated DevOps?

That is the primary use case. ZetaPad is designed for high shipping velocity without requiring a full-time platform engineer.

Ready to move faster

Launch the next release this week, not after an infrastructure project.

Start with a single workload, then scale to full product environments as adoption grows.