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Space World Network

Early access · Design partners

Ship AI agents you can trust with real work.

Space World Network is the operating layer for production agents. Connect your tools, enforce policy, add human approval, and trace every decision — from a single runtime.

Request early accessExplore the platform
  • Founder-led team
  • Model-agnostic
  • Human approval built in

Illustrative agent run

run_8f2c
completed

Resolve billing dispute

agent · support-ops
  1. plan

    Draft a resolution for ticket #4821

    0.8s
  2. tool

    zendesk.get_ticket()

    0.6s
  3. policy

    PII redaction passed · spend cap ok

    0.1s
  4. approval

    Refund $180 · approved by ops lead

    1m 12s
  5. action

    stripe.create_refund()

    0.9s
  6. eval

    Quality 0.94 · policy compliant

    2.1s
Every step traced. Every action policy-checked.

Designed to plug into

  • OpenAI
  • Anthropic
  • Google
  • Amazon Bedrock
  • Slack
  • Zendesk
  • Stripe
  • Snowflake
  • Postgres
  • GitHub

The platform

A control plane for agents that touch real systems.

Prototypes are easy. Production is where retries, permissions, and edge cases show up. Space World Network gives every run a runtime, a policy layer, and a paper trail.

Durable agent runtime

Long-running workflows with checkpointed state, typed tool calls, and deterministic replays. No more half-finished runs after a timeout.

  • Checkpointed, resumable runs
  • Typed tool calls with retries
  • Per-run cost and step budgets

Policy and approvals

Guardrails that are enforced, not suggested. Define who can do what, cap spend, redact sensitive data, and require a human before risky actions.

  • Pre-tool policy checks
  • Human sign-off for high-impact actions
  • PII redaction and spend caps

Evals and traces

See exactly why an agent did what it did. Full traces, quality evals, and regression gates on every deploy — so changes ship with evidence, not vibes.

  • End-to-end trace explorer
  • Golden datasets and LLM judges
  • Latency, cost, and error SLOs

Model-agnostic routing

Switch models per step without rewriting the workflow.

TypeScript and Python SDKs

Define agents, tools, and policies in the language you already use.

VPC or self-hosted

Run the control plane where your data already lives.

Audit-ready from day one

Every tool call, approval, and output is recorded.

How it works

From prototype to production in four steps.

Keep your existing stack. Add the runtime, policy, and observability layer that production needs.

  1. 01

    Connect

    Point the SDK at your existing services, or use managed connectors for Slack, Zendesk, Stripe, Postgres, and more.

    ~15 minute setup

  2. 02

    Define policy

    Describe tools, permissions, spend limits, and approval rules in code or in the console.

    Policy as code

  3. 03

    Evaluate

    Run golden datasets and adversarial cases before a workflow is allowed to reach customers.

    Pre-release gate

  4. 04

    Operate

    Watch traces, approve exceptions, and promote changes with regression gates on every deploy.

    Continuous

Security

Built for teams that can't afford surprises.

Agents get access to real systems. We treat that as a security boundary, not an afterthought.

SOC 2 readiness programHuman approval gates

Security review pack

Architecture overview, data-flow diagrams, subprocessor list, and our SOC 2 roadmap — available under NDA.

Request the pack

  • SSO, SAML, and SCIM

    Bring your identity provider. Provision and deprovision access automatically.

  • Granular RBAC

    Scope permissions by workspace, agent, tool, and environment.

  • Scoped credentials

    Short-lived tokens per run. No long-lived keys sitting in prompts.

  • Immutable audit trail

    Every tool call, approval, and output is recorded and exportable.

  • Secrets vault

    Credentials stay in the vault and are injected at the edge of a tool call.

  • Data residency

    Choose US or EU processing. Retention policies you control.

Use cases

One runtime. Many high-stakes workflows.

Anywhere an agent touches money, customer data, or production systems, it needs more than a prompt.

Customer operations

Resolve tickets end to end

Give agents tool access with refund caps and approval gates, so they can finish the work instead of drafting a suggestion for someone else.

Billing disputes · Returns · Account changes

Back office

Clear the repetitive queue

Invoices, claims, and onboarding are multi-step, boring, and expensive to get wrong. Give them a runtime with a real audit trail.

Invoice matching · Claims triage · Vendor onboarding

Developer and IT operations

Triage alerts with safe runbooks

Let agents gather context and run approved remediations, with policy limits and a human in the loop for anything destructive.

Incident triage · Access requests · Release checks

Revenue and research

Build briefs from approved sources

Multi-step research with citations, source allowlists, and quality evals so every output can be reviewed and trusted.

Account briefs · Call summaries · Competitive tracking

Company

The layer between a demo and dependable operations.

Space World Network is an independent, founder-led team focused on one problem: making AI agents dependable enough for real operations. We care about the boring parts — retries, permissions, evaluations, and audit trails — because that is what production actually runs on.

Reliability over demos
We optimise for runs that finish correctly, not demos that look good once.
Control stays with you
Your models, your tools, your data. We provide the rails, not a lock-in.
Evidence, not vibes
Every change ships with traces, evaluations, and a clear rollback path.
More about the company

FAQ

Questions, answered.

Something not covered here? Ask us directly — we answer every message.

What exactly is Space World Network?

An operating layer for AI agents: a runtime, a policy and approval layer, and an observability stack that work together. Teams use it to take agents from a notebook to customer-facing operations.

How is this different from building on a model API directly?

Model APIs give you inference. Production needs durable execution, tool permissions, retries, human approval, evaluations, and traceability. We provide those as one runtime instead of stitching five systems together.

Which models can we use?

Space World Network is model-agnostic. Route different steps to different providers, including hosted models and Amazon Bedrock, and swap models without rewriting the workflow.

Can we bring our own tools and internal APIs?

Yes. Define typed tools in the SDK, wrap internal APIs, or use managed connectors. Access is scoped per agent, per environment, with short-lived credentials.

Is our data used to train models?

No. Customer data is not used to train foundation models. Retention and residency are configurable, and sensitive fields can be redacted before they reach a model.

How does pricing work during early access?

Design partners get a free pilot with hands-on support. Production pricing is based on runs and seats, and we will publish it before general availability.

Can we self-host or run it in our VPC?

A self-hosted control plane is on the roadmap. Tell us about your environment and we will walk you through the current deployment options.

How do we get access?

Send us a note through the form below. We reply within two business days and usually start with a 30-minute workflow review.

Early access

Bring us your hardest agent workflow.

We are onboarding a small group of design partners. Tell us what you are building, where it breaks today, and what production would need to look like.

We reply within two business days. No newsletter, no drip sequence.

30-minute workflow reviewFree design-partner pilot

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