Questions institutional teams ask.

Menos AI is the AI infrastructure for institutional multi-asset investing: the market's beliefs and your own conviction history, in one owned, auditable knowledge layer. Cross-asset by design, macro and fixed income first, and deployed single-tenant in your cloud boundary.

Asset managers, hedge funds and institutional investors, across rates, credit, FX, commodities and equities, with distinct depth in macro and fixed income.

An aggregator returns the documents that mention a theme. Menos AI shows which beliefs are converging, who is early, and which of your positions sit underneath them.

A prototype is a fraction of the job. Production means continuous engineering across data integration, model evaluation, document processing and accuracy verification. Menos AI brings that engine; you keep the knowledge layer.

Your accumulated research, notes, trade ideas and conviction history, structured once at ingestion and deployed in your tenant, so it compounds instead of being used once and lost.

Sonαr is Menos AI's virtual analyst: it reads what your desk reads, covers what it can't get to, and remembers it all. Every day, it tells you what is forming, what is contested, and what has changed since yesterday.

Sonαr Studio is Sonαr's Skills layer: repeatable desk work, such as a daily macro trade idea briefing or a credit thesis monitor, captured as Skills that run on a schedule.

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

Single-tenant, in a dedicated VPC inside your cloud boundary. No shared inference and no cross-tenant exposure.

No. Your corpus never trains a shared model. That is written into the contract and enforced in the architecture.

You do, contractually and architecturally: the corpus, the derived structures and your desk-authored Skills, in your environment and on exit.

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.

SOC 2 Type II is complete and ISO 27001 is in progress. Security documentation is shared with prospective clients under NDA.

Three ways: headless into your pipelines and models, through AgentOS to build your own solutions, or out of the box in Sonαr.

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.

Your internal research, broker and independent research, and reference, pricing and market data from partners including ICE, BondCliQ, S&P Global, FactSet, QUODD and FinTech Studios, plus licenses you already hold, such as Moody's and Fitch.

Through a research partnership, your content becomes retrievable inside clients' workflows, next to their portfolios and in their scheduled research, with attribution on every output.

No. Providers see thematic signal only. Client prompts and trade intent are never exposed.

No. Partner content never trains a model, and every output carries visible attribution back to the source.

You license the platform and bring your research, conviction and investment process. Menos AI brings the engine and engineers embedded with your desk. You keep the knowledge layer.

Mobilize, typically 4 to 8 weeks, then a 12-week proof live in your tenant with explicit exit criteria, converting to production on the same deployment.

A named sponsor, a representative slice of the corpus, and analyst time each week.

Committed engineering capacity, embedded with your teams. It is not platform support, not staff augmentation, and not a consulting engagement.