Products

Full Mesh Intelligence

Use one signal-driven architecture across cloud, private edge, and verticalized deployments while choosing the operating model that matches your business.

EdgeEnterpriseCloud

Full-mesh policy execution from edge to enterprise control plane to cloud capacity.

Startups and fast-moving product teams

MoM Cloud

Managed MaaS with one production API, fast onboarding, and operation handled by Signal AI.

Fastest launchNo infra overheadScales by usage

Regulated enterprises and sovereign environments

MoM Edge

Private deployment for strict data boundaries, policy depth, and enterprise-grade support in production.

Data residencyAuditable policiesEnterprise SLA

Finance, healthcare, education, retail and other verticals

Industry Solutions

Domain templates that package routing rules, model sets, and governance workflows for faster rollout.

Vertical templatesScenario policiesShorter rollout cycle

Open Core Boundary

One architecture, clearly separated value layers

Open source provides core routing primitives. Signal AI commercial delivery adds enterprise operation, governance depth, and vertical execution.

Open Source Core

vLLM Semantic Router

Signal extraction engine

Decision engine with policy logic

Plugin framework and model selection

Config DSL and runtime extensibility

Signal AI Commercial Layer

Business-Tailored Solutions

Business-tailored solution design and implementation

Deep domain optimization for routing and policy behavior

SLA-backed operations with production-grade commitments

Continuous iteration through feedback loops and co-delivery

Track Selection Rail

From speed to sovereignty to specialization

1

Choose Cloud

When launch speed and product iteration are the primary constraints.

2

Choose Edge

When regulatory control, private deployment, and auditability are mandatory.

3

Choose Industry

When domain-specific policy and workflow templates accelerate enterprise adoption.

Deployment Modes

Production options for different data and operating constraints

Mode 1

Edge Router + Customer Models

For institutions with existing model infrastructure and strict internal data boundaries.

Mode 2

Edge Router + Managed Model Ops

For teams requiring private deployment without building a full AI platform organization.

Mode 3

Cloud Service

For organizations prioritizing speed and low operational overhead over self-hosting.

Next Step

Choose the product based on your boundary

Start with the deployment model that matches your boundary, then scale into managed or enterprise delivery without changing your architectural foundation.

Contact Product Team