Build on it

Agent and LLM infrastructure
for your own solutions.

AgentOS is Menos AI's agent and LLM infrastructure: orchestration, memory and context, tool integration, model routing and guardrails, deployed in your cloud boundary.

AgentOS

The full stack

The full stack, end to end.

Solutions on top, the agent and LLM infrastructure underneath.

Solutions

SonαrVirtual analystStudio · Skills layer
Your solutionsBuilt on the same stack

AgentOS

Agent infrastructure

OrchestrationMemory & ContextTool & Data IntegrationObservability

LLM infrastructure

Model ManagementEvaluationData FoundationSecurity & Guardrails

Runs on

Your knowledge layerStructured once, owned in your tenant

Deployed in your boundary

Cloud: Azure OpenAI · AWS Bedrock · GCPFrontier: OpenAI · Anthropic · GeminiPrivate: Llama, Mistral and other options to suit your needs
Why teams build on it

Why AgentOS

What makes it different.

A platform, not a product.

Its own orchestration engine, data integration architecture and institutional security model.

Model-agnostic by design.

Frontier models by default, private options by choice, routed per task on quality, latency and cost.

Private deployment, always.

AgentOS deploys inside your infrastructure. Your research and investment logic never leave your environment.

Your stack, enhanced.

MCP in both directions: your systems of record in, results back into Excel, Word, Teams and your applications.

Sonαr runs on it

Sonαr, built on AgentOS

Meet Sonαr.

Sonαr is Menos AI's virtual analyst, built on AgentOS and tuned for institutional multi-asset investing. Not an aggregator: it reads, reasons and remembers.

Sonαr is one solution built on the same knowledge stack a client can build on.

Explore SonαrBuild, buy, or both

Build vs. Buy vs. Hybrid

An asset you own, without building it.

License the platform, bring your context, and own the knowledge layer that results.

Build vs. Buy vs. Hybrid

FAQ

Questions institutional teams ask.

What is AgentOS?

AgentOS is Menos AI's agent and LLM infrastructure: orchestration, memory and context, tool integration, model routing and guardrails, deployed in your cloud boundary.

Which models does Menos AI use?

Frontier models from OpenAI, Anthropic and Gemini by default, and private options such as Llama and Mistral by choice, routed per task on quality, latency and cost.

How does Menos AI connect to our existing systems?

Through MCP in both directions: ingestion from your systems of record and licensed sources, and results written back into Excel, Word, Teams and your own applications, scoped to entitlements.

All questions

Get started

From a working session to a
production-grade proof.

Ninety minutes with your research leads and PMs to define the use cases, the corpus in scope, and what success has to look like in numbers.

Built for
Global asset managers and hedge funds
Deployment
Single-tenant, in your cloud boundary
Models
Frontier by default, private by choice
Compliance
SOC 2 Type II · GDPR · ISO 27001 (in progress)