Route by difficulty
Need-aware scheduling
Platform
Deploy the system brain for production AI.
One platform for model routing, runtime guardrails, and edge-cloud execution.
Built for teams shipping real AI systems.
PLATFORM SURFACE
Commercial control for multi-model AI.
Route smarter. Guard harder. Deploy anywhere.
Intelligent Model-as-a-ServiceSemantic SecurityFullmesh Intelligence
RESEARCH
See papers, systems, and technical direction
Inspect runtime behavior
Policy-aware guardrails
Coordinate local and cloud paths
Hybrid execution
What The Platform Does
Customers are not buying another model. They are buying control over cost, risk, and execution.
These are not separate features. They are three expressions of the same system.
Cost / accuracy balance
Intelligent Model-as-a-Service
Route easy work to smaller models, send difficult tasks to stronger ones, and stop paying premium prices for routine traffic.
Difficulty-aware routing
Provider-neutral selection
Better token economics
Runtime guardrails for agents
Semantic Security
Inspect prompts, actions, and outputs for PII, jailbreak, hallucination risk, and unsafe tool behavior before they hit production systems.
PII and jailbreak detection
Semantic guardrails
Auditable runtime policy
Build across edge, cloud, and data center
Fullmesh Intelligence
Use one intelligence layer to build personal AI at the edge, intelligent MaaS in the cloud, and system intelligence inside the data center.
Personal AI on edge devices
Intelligent MaaS in cloud
System intelligence in data centers
Deployment Options
Choose the control boundary that matches your environment.
The same product can run as a hosted service, a private deployment, or a hybrid stack.
Managed
MoM Cloud
AI-native teams and fast-moving products
A hosted entry point for teams that want intelligent model routing and semantic controls without building the platform layer themselves.
Private
MoM Edge
Regulated and privacy-sensitive environments
A private deployment path for institutions that need local execution, auditability, and clear boundaries around data and model access.
Hybrid
Industry Deployments
Finance, healthcare, industrial, and other regulated workflows
A packaged operating pattern for workflows where local models, cloud models, and semantic security must work together.
Open Source Foundation
Built on public OSS.
Signal AI packages open routing, serving, gateway, and orchestration systems into a commercial platform with guardrails, observability, and deployment workflows.
Public OSS
Open systems across the request path.
The commercial product sits on public systems, then adds the operational layer teams need to ship and govern AI in production.
vLLM Semantic Router
Semantic routing core
vLLM
Inference and serving engine
Envoy AI Gateway
Programmable AI gateway
Envoy Gateway
Gateway management plane
Envoy
Programmable proxy layer
Kubernetes
Portable orchestration