Your AI Agents Are Running you just can't see what they're doing
No more orphaned processes. No more silent failures. One control plane that manages every agent from creation to retirement.
IMAGINE IF
Every AI Agent In Your Estate
was visible, governed, and accountable
Everyone's building AI agents. Nobody built the control plane. So we did. One system. Full lifecycle. From task queue to audit trail.
Now You Can
CONTROL WHAT RUNS
Every agent has a defined lifecycle, scoped access, and enforced boundaries — before it executes a single task.
LIFECYCLE
Agent Management
Create, start, stop, and destroy AI agents with full lifecycle control. No orphaned processes. No runaway costs. Every agent has a defined beginning, a governed middle, and a clean end.
SECURITY
Sandboxed Execution
Every agent runs in an isolated environment with enforced resource quotas and network policies. Scoped data access. No lateral movement. Trust nothing. Verify everything.
STATE
Persistent Agent Memory
Key-value and vector DB state persistence with configurable retention policies. Agents remember what matters across sessions. Context compounds. Knowledge doesn’t start from zero.
SCALE WITHOUT CHAOS
More agents, more tasks, more complexity — without more risk. The system gets bigger. The governance stays tight.
ROUTING
Intelligent Task Dispatch
Priority-based routing with capability matching. The right agent gets the right task — every time, at the right priority. Tasks queue, match, and execute without manual intervention.
COMPUTE
GPU-Aware Scheduling
L1 compute integration allocates GPU resources dynamically based on agent demand. No over-provisioning. No contention. The right resources at the right time, released the moment they’re not needed.
RESILIENCE
Health & Auto-Recovery
Continuous health monitoring with automatic restart on failure. Agents fail gracefully. The system recovers without you. Degradation is detected before it becomes downtime.
EXAMPLE
Sub-second
Task routing latency — the right agent gets the right task before you notice the queue
EXAMPLE
Zero orphans
Every agent has a lifecycle. No runaway processes, no silent failures, no unaccounted GPU burn
Full audit
Every agent action logged to L3 Assurance — traceable, governed, compliant by design
EXAMPLE CONTENT
“Sub-second” and “Zero orphans” are illustrative design targets, not verified production metrics. “Full audit” is verified — the Orchestrator feeds all execution data to L3 Assurance by architecture.
AI frameworks help you build agents. The Orchestrator is the only thing that makes sure they actually run — safely, observably, at scale.
Where It's Working Right Now
You’re not just deploying agents — you’re running a governed AI estate where every action is traceable and every failure is recoverable.
CERTIFIED ACTIONS
TOKEN EFFICIENCY
EXAMPLE — MULTI-AGENT COORDINATION
EXAMPLE CONTENT
This scenario reflects documented capabilities (task routing, agent sequencing, state passing) but is not sourced from a verified customer deployment.
“Move from demo AI to production AI — where every agent is managed, every action is auditable, and every failure recovers itself.”
WHERE IT SITS
The Control Plane
across the full stack
Every layer generates work for AI agents. The Orchestrator coordinates across all of them — scheduling GPU at L1, managing agents and data at L2, feeding audit data to L3 Assurance.
AI ASSURANCE
DATA + MODELS + AGENTS
COMPUTE FOUNDATION
AI ORCHESTRATOR
Routed. Governed. Ready for production.
- Receives tasks from every layer — scheduling, coordination, execution
- Routes to the right agent with the right resources at the right time
- Enforces sandboxed execution with scoped data access
- Feeds every action back to L3 Assurance — full audit trail
BETTER TOGETHER
Orchestrator + Data Fabric
the complete picture
The Orchestrator knows what to run. The Data Fabric knows what to trust. Together, every action is informed, every decision is traceable.
ORCHESTRATOR
DATA FABRIC
See Your AI Agents
before your next incident does
30 minutes. We’ll show you how agent lifecycle management, task routing, and governed execution work in a real environment.