95%
of AI projects fail
-- Harvard Business Review
They don't fail because the models are bad. They fail because there's no coordination between agents, no governance over what they do, and no infrastructure to run them in production.
Agents operate in silos. No shared context, no signal routing, no way to collaborate on complex tasks.
No budget caps, no approval gates, no audit trails. Agents spend money and take actions with zero oversight.
No multi-tenancy, no orchestration, no durable workflows. Every team builds from scratch and hits the same walls.
Origin
Started with an open-source fork.
Built 50+ capabilities on top.
OpenClaw gave us a multi-agent coordination framework rooted in Google Research. We forked it, wrapped it in production infrastructure, and built a full operating system for AI agents -- multi-tenant, governed, and ready for enterprise deployment.
FOUNDATION
OpenClaw fork + Next.js 14 shell
Multi-tenant application shell with row-level security, Cognito auth, and a plug-in app manifest system.
ORCHESTRATION
Temporal Cloud integration
Durable workflow execution for long-running agent tasks -- retries, timeouts, and saga patterns built in.
COMMUNICATION
Signal Bus + AppManifest system
Cross-app event routing with typed payloads. Every app publishes and subscribes to signals through a central bus.
{
"slug": "pipescout",
"name": "PipeScout",
"signals": {
"publishes": ["lead.qualified", "lead.enriched"],
"subscribes": ["signal.detected", "account.created"]
},
"navItems": [
{ "label": "Pipeline", "href": "/gtm", "order": 1 },
{ "label": "Signals", "href": "/gtm/signals", "order": 2 }
]
}INTELLIGENCE
Multi-model LLM routing + local GPU inference
Route prompts to GPT-4o, Claude, Gemini, or local Llama models based on cost, latency, and capability requirements.
GOVERNANCE
Agent governance + human-in-the-loop
Budget caps, approval gates, and full audit trails. High-stakes actions require human approval before execution.
VOICE + MESSAGING
Vapi voice AI + Telnyx SMS/calling
Inbound and outbound voice agents with live transfer. Programmable SMS/MMS and telephony via Telnyx.
DATA + ENRICHMENT
Signal detection, enrichment, BrightData proxies
Real-time intent detection, company/contact enrichment, and web scraping with residential proxy rotation.
INTELLIGENCE LAB
24/7 AI ecosystem monitoring + Council system
Continuous monitoring of the AI landscape. The Council system evaluates new models, tools, and research for platform integration.
Infrastructure
Production infrastructure. Not a demo.
COMPUTE
- AWS ECS Fargate
- Auto-scaling containers
- Multi-AZ redundancy
DATA
- PostgreSQL + RLS
- Redis cache layer
- S3 object storage
AI LAYER
- GPT-4o / Claude / Gemini
- Local Ollama inference
- Embedding pipelines
ORCHESTRATION
- Temporal Cloud
- Durable workflows
- Event-driven sagas
Multi-tenancy is not optional
Every instance is isolated with PostgreSQL row-level security, scoped API keys, and per-tenant configuration. One platform, unlimited organizations -- each with their own agents, data, and governance rules.
Capabilities
50+ capabilities. Zero extra tools needed.
3-panel shell
Nav + content + agent chat. Shared across all apps.
Signal Bus
Typed inter-agent messaging with priority and TTL.
AppManifest
Declarative role, services, signal contracts per app.
Agent Chat (SSE)
Real-time streaming chat with any agent.
Approval Queues
Human-in-the-loop for decisions that matter.
Cost Tracking
Per agent, per day, per API call. Real-time.
Audit Log
Every action, every agent, timestamped.
Temporal Workflows
Durable execution. Crash recovery. Auto-retry.
LLM Router
Claude, Gemini, GPT, Qwen. Right model per task.
Local GPU Inference
Dual RTX 3090. Qwen at $0/call.
Voice (Vapi)
Agents you can call on a real phone number.
SMS (Telnyx)
Text your agent. It texts back.
Multi-Tenancy
Isolated instances per customer. RLS in Postgres.
Cognito Auth
Email/password + Google SSO. Session management.
Sandbox Environments
Test before production. Per-instance configs.
Intel Panel
Contextual intelligence feed in the right sidebar.
Modal System
Detail views without leaving the main screen.
Space Switcher
Switch between apps like Slack workspaces.
Signal Detection
10+ sources monitored. Hiring, funding, tech adoption.
Data Enrichment
URL in, full firmographic profile out.
BrightData Proxies
Residential proxies for data collection at scale.
Intelligence Lab
24/7 AI ecosystem monitoring and evaluation.
Council System
5 AI models in structured debate, twice daily.
200+ API Routes
The backend is already built. Apps plug in.
This is what's underneath.
We're not building another AI wrapper. We're building the operating system that every AI agent needs to run in production -- with coordination, governance, and infrastructure that actually works.
Agents as a Service →