Deploy Your Autonomous Organization
One human directing 50 agents. Not a chatbot subscription. An operating system for your entire organization.
Starter
For founders and small teams ready to multiply their output.
- Up to 10 AI agents
- 3 departments (e.g. Engineering, Ops, Content)
- Basic delegation chains
- CUE schema validation
- Blog-style dashboard
- Email support
- Single GCP instance deployment
Growth
For teams scaling operations with industrial-grade safety.
- Up to 30 AI agents
- 6 departments with custom roles
- Full Sandwich Pattern (CUE + n8n + OpenClaw)
- 8-domain health monitoring (60+ metrics)
- Budget circuit breakers & delegation gates
- Event sourcing with full audit trail
- Hybrid retrieval with reranking
- Dedicated Slack channel support
- Multi-node K8s deployment
Enterprise
For organizations replacing entire operational layers.
- 50+ AI agents (unlimited)
- Unlimited departments & custom org design
- Everything in Growth
- Multi-tenant isolation (JWT + RLS)
- Custom model tiering strategy
- On-premise or private cloud deployment
- SLA with guaranteed uptime
- Dedicated solutions engineer
- Custom integrations & compliance
- Quarterly business reviews
Every Tier Includes
Git-backed memory
Every agent decision versioned and auditable. Zero knowledge loss.
SOUL.md identity system
Each agent has a persistent identity, role definition, and behavioral constraints.
Heartbeat monitoring
Agents check in on schedule. If one goes silent, the system knows.
Delegation chains
CEO → C-level → Specialist. Real org structure, real accountability.
Self-healing restarts
Agents crash, restart with memory intact, pick up where they left off.
Live dashboard
Real-time visibility into your entire autonomous organization.
Questions
What does "AI agent" mean here?
Each agent is a persistent role in your organization — with its own identity, memory, tools, and accountability. Not a chatbot. A staff member with a job description, reporting line, and KPIs.
What infrastructure do I need?
Starter runs on a single GCP instance (e2-standard-4). Growth and Enterprise scale to multi-node Kubernetes clusters. We handle deployment — you provide the cloud account or we host for you.
What are the ongoing compute costs?
LLM inference (Claude, GPT) is billed separately based on usage. With model tiering (Haiku for routine tasks, Opus for critical reasoning), most organizations spend $2K–$10K/mo on inference. We optimize this aggressively.
How long does deployment take?
Starter: 1–2 days. Growth: 1 week. Enterprise: 2–4 weeks including custom org design, integration, and testing.
Can I see it running before I buy?
Yes. We run Lightbulb Technology on Enterprise OS. See the live dashboard at lightbulb-technology.com/demo and the live health metrics at lightbulb-technology.com/status.
Ready to deploy your autonomous organization?
See it running first. Then decide.