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Systematic research, technical blueprints, and news at the intersection of front-office investment workflows and AI systems engineering. Explore our perspectives on narrative factor modeling, multi-agent orchestration, and production-grade infrastructure.

Partnerships & Ecosystem

Where the Thesis Meets the Market: Bringing ICE into Sonαr

ICE reference data, evaluated pricing, analytics, and fixed income indices give Sonαr the institutional market data to test research against true market outcomes.

Sep 29, 2026 Read more →

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Perspectives from our team.

AI Tech Stack & Innovation

Token Efficiency Through Domain Knowledge

Cheaper tokens are not making enterprise AI cheaper. The industry is beginning to see it. Goldman Sachs Research expects agentic AI to drive a 24× increase in token consumption by 2030. EY says model routing has reduced its token use by up to 60%. Gartner is urging leaders to manage cost per result — not simply cost per request. The realization is spreading. But there is still a gap b

Aug 06, 2026
AI Tech Stack & Innovation

Claude Is One Engine. You Still Need a Car.

Why "Just Build on Claude" is the Riskiest AI Strategy in Asset Management I was at FILS last week, the Fixed Income Leaders Summit, one of the most prominent buyside gatherings of industry minds every year. Almost every conversation lands on AI now. But one story has stayed with me, because it got a real laugh from the room, and the laugh was the kind people give when something is funny because it is true.

Jun 24, 2026
Perspectives from the Field

FILS USA 2026: Takeaways

Last week, Menos AI was honored to win the Shark Tank competition at the Fixed Income Leaders Summit in Boston. It was a meaningful moment for our team and a validation of the problem we've been solving for our clients.

Jun 24, 2026
Partnerships & Ecosystem

Bringing FactSet into Sonαr

May 2026 — We’re excited to announce that Menos AI now integrates with FactSet, embedding FactSet’s trusted financial data directly into Sonαr.

May 19, 2026
AI Tech Stack & Innovation

Why Modern Asset Management Needs an AI-Native Brain

Moving Beyond Fragmented Tools to Centralized Intelligence Key Takeaway Quick wins build technical debt. Hard roads build moats. Most asset managers are adding AI features to existing tools — a faster horse, not a new vehicle. The shift from AI-Enabled (tools that assist humans) to AI-Native (infrastructure where intelligent agents coordinate autonomously) is not incremental. It requires a fundamentally different architecture: centralized intelligence, institutional memory that outlasts any individual, and a security-first sandbox built for regulated environments. This article introduces the SAFE Framework (Security, Agent Architecture, Functional ROI, Explainability) — a blueprint for production-grade AI infrastructure. For early access to comprehensive implementation guidance, compliance frameworks, and real-world transformation lessons, see the Asset Management AI Transformation Guide 2026 (scan QR code at end). 1. Why AI-Native Matters: Breaking the Human Constraints Here's something surprising: From ancient Rome to modern Atlanta, the shape of cities has been constrained by how far you can travel in about 30 minutes. Streetcars, highways, subways — each breakthrough let cities expand beyond what legs alone could reach. This isn't coincidence. It's Marchetti's Constant.

Feb 10, 2026
Investment & Workflow

The Research Tax: What Lost Research Costs Hedge Funds

It's 2:47 PM when the downgrade hits.

Dec 11, 2025
Investment & Workflow

The AI Alpha Paradox: Why Top Funds Amplify Their Analysts

Two headlines from the same week tell seemingly opposite stories about artificial intelligence in finance.

Oct 24, 2025
Investment & Workflow

Separating Skill from Luck in Analyst Research

In active management, there's a familiar dilemma. When a top-rated analyst issues a "Strong Buy" and the stock falls while the market rallies, what happened? Was it a bad call, or just bad luck?

Sep 11, 2025
Perspectives from the Field

The Quiet Advantage: What the Few Firms Succeeding with AI Know

A recent report from MIT's NANDA initiative, dropped a bombshell on the enterprise AI world: an estimated 95% of AI pilots never reach production or deliver a measurable ROI. For investment firm leaders, this wasn't just another research statistic. It was a mirror reflecting their own expensive experiments that are struggling to make it from pilot to tangible. But here's the twist: The 5% who succeed aren't just getting lucky. They've cracked a code that the other 95% are missing entirely.

Aug 27, 2025

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