Last week, Anthropic rolled out financial services plugins - specialized agents for private equity, investment banking, equity research, and wealth management. The PE plugin promises to help with "deal sourcing and diligence" by reviewing document sets, extracting financial data, modeling scenarios, and scoring opportunities.

Within hours, I had friends and colleagues ask what this means for private markets and Raylu.

I get the instinct. Anthropic is building genuinely transformative technology. In fact, in the last week we've had more of our customers use Claude Cowork and enjoy it. But if you're a GP who watched that launch and thought "we're covered," I need you to understand something:

In the competitive world of private markets, Claude cannot systematically and repeatedly source deals for your fund. And it certainly cannot create alpha.

It is a powerful productivity tool. But productivity and alpha are fundamentally different things - and confusing the two is how funds fall behind.

The real question isn't Claude or Raylu. It's how you use them together - and why you need both.

The Right Mental Model: Claude Is the Interface. Raylu Is the Intelligence.

Anthropic's own keynote was transparent about what they're building. Scott White, their Head of Enterprise Product, positioned Cowork as a way to help "knowledge workers delegate" the way developers delegate to Claude Code. The key phrase from their own presentation:

"Claude is only as useful as the tools and data it can reach."

That single sentence is the thesis of this entire article.

Claude is a brilliant general-purpose engine. But an engine without fuel, without navigation, and without a map is just idling. For private market investors, Raylu is the fuel, the navigation system, and the road map. We provide the proprietary data Claude can't access on its own, the firm-specific judgment it can't replicate alone, and the systematic deal engineering workflows that don't live in a chat window.

This is what makes the combination so powerful. Imagine sitting in Claude and saying: "Load the deal-sourcing skill and run the sourcing pipeline." That's an incredible experience - but it only works if there's Raylu behind it. Claude provides the continuity of thought and workflow. Raylu provides the intelligence that makes those workflows actually solve the problem.

That's not a theoretical distinction. We're building for it right now.

The MCP Strategy: Raylu's Intelligence, Everywhere Your Team Works

Raylu is developing MCPs - Model Context Protocol integrations - that will allow investors to bring Raylu's intelligence directly into Claude and into every tool their team uses. Instead of switching between platforms, Raylu's proprietary market intelligence, deal signals, and firm-specific insights will flow natively into the environments your team already works in every day.

This is the model we believe in: Raylu as the intelligence infrastructure layer that powers your entire stack. Claude can be the interface. Your CRM can be the system of record. But the proprietary data, the deal engineering logic, and the institutional knowledge that actually creates alpha? That lives in Raylu - and our MCPs will make it accessible everywhere.

The point of Claude's plugin architecture is continuity of thought and workflow. But plugins are only as good as what they're plugged into. Raylu is the plugin that actually solves the problem.

Productivity Is Not Alpha

Here's the critical distinction most people miss.

Claude Cowork reads documents you give it, summarizes them, drafts memos, builds financial models from data you provide, and creates presentations. Anthropic announced connectors to Google Drive, Gmail, HubSpot, DocuSign, and FactSet. Their PE plugin helps analysts review CIMs, extract standardized data, and score opportunities against criteria you define.

But notice what every one of those capabilities has in common: Claude processes information you already have. It does not generate information you don't.

That's productivity. Every fund in the market will have the same Claude plugins, running on the same models, with access to the same public information. When everyone gets the same productivity boost, it's table stakes.

Alpha never comes from the tool everyone has. It comes from the infrastructure no one else can replicate.

What Changes When You Add Raylu to Claude

From obvious targets to proprietary deal flow.

If all you care about are the companies a16z just invested in or the names that show up in Forbes - Claude works fine on its own. Any search engine works fine.

But proprietary deal flow isn't built from the obvious players. It's built from the small companies quietly building large and profitable businesses. The bootstrapped category leaders that don't have a PR team and have never talked to a journalist. These companies don't show up in a Claude search because they don't exist on the public web in any meaningful way.

Raylu scans over 200,000 documents per market map. Claude on its own might reference 200. That's 1,000x more coverage - and that difference is precisely how we find the companies your competitors won't see for another six months.

With Raylu's MCPs, that proprietary intelligence becomes available inside Claude itself.

From generic scoring to firm-specific conviction.

Claude is actually quite good at knowing things about a fund. You can tell it your thesis, your criteria, your sector focus. It will remember it for the session.

But LLMs are inherently "middlers." Ask Claude to score 50 companies against your investment criteria and you'll get a sea of 7s and 8s with almost no ability to differentiate between a real opportunity and a mediocre one.

Raylu treats deal scoring as a systematic problem, not a conversational one. We run an extensive onboarding process designed to understand how everyone at your firm thinks - from analysts to MDs - so we can replicate an environment that actually builds conviction the way your fund builds conviction. Raylu's agents continuously learn from your interactions, encoding firm-specific signals so that judgment gets sharper with every deal you evaluate.

Claude on its own gives you the same output it gives the fund down the street. Claude connected to Raylu gives you intelligence that's yours alone.

From chat-based tasks to systematic deal engineering.

This is the point people miss most. Deal engineering is systematic work that fundamentally cannot live in a chat interface.

Parsing through 2,000 companies in a conversation doesn't work. Sending outreach to hundreds of decision-makers over months doesn't work. Systematically building tearsheets with precise, repeatable templates doesn't work. You can prompt Claude all day - but you can't build workflow in a chat.

Deal engineering requires a platform: thesis development, market mapping, 360-degree target intelligence, verified decision-maker outreach, CRM synchronization, and IC material preparation - all connected, all systematic, all repeatable. The average Raylu market map runs around 40,000 searches powered by custom agents built to think like investors.

Claude helps you think through a problem in the moment. Raylu engineers the process from first thesis to signed deal.

From public web to private market intelligence.

Raylu has built one of the largest aggregations of private market data - proprietary signals across hiring velocity, product changes, competitive positioning, funding dynamics, and regulatory shifts. Claude can only search the open internet. In private markets, the most valuable information is precisely the information that isn't on the open internet.

When Raylu's MCPs feed this intelligence into Claude, your team can have natural-language conversations with proprietary data no other fund has access to.

From file access to deal infrastructure.

Raylu syncs bi-directionally with your CRM (DealCloud, Affinity, and Salesforce) - enriching years of unstructured notes, emails, and decks to surface hidden insights, running win/loss scoring based on what your firm has actually closed or passed on. The difference between an AI that reads your files and a system that lives inside your deal machine is the difference between a consultant who visits once and an operating partner who's there every day.

The Anthropic Keynote Actually Made Our Case

Anthropic's own Head of Economics, Peter McCrory, presented research showing that AI provides the biggest productivity gains for complex, high-skilled work - but only when organizations build the data infrastructure to provide the right information at the right time. He said it directly: the question isn't just whether Claude is capable. It's whether you have the right data ecosystem to feed it.

He noted that if the information Claude needs is "in your co-worker's mind," that's not a technical problem - it's an organizational one.

This is precisely what Raylu solves. We are the data ecosystem, the intelligence layer, and the institutional memory that makes AI useful for private market investors specifically. Claude is powerful. Claude connected to Raylu's intelligence layer is transformative.

Use Claude. But Don’t Confuse It for Your Edge.

We think your analysts should use Claude Cowork. It will make them faster at processing documents, building models, and drafting materials. That's real value.

But if you're a GP telling your team "we don't need a deal sourcing platform because we have Claude," you're making a category error that will cost you deals, cost you LP confidence, and cost you the compounding advantage that the best funds are building right now.

Claude makes your team more productive. Raylu makes your fund more intelligent. Those are not the same thing - but together, they're the most powerful combination in private markets.

Productivity is the baseline. Alpha is the objective. You don't get alpha from the same tool every fund just downloaded.

The Bottom Line

Claude Cowork is a productivity tool. A very good one. Use it.

Raylu is the intelligence layer that makes it - and everything else in your stack - actually create alpha.

We don’t find you deals. We change how your fund deploys capital.

Raylu is the alpha creation platform for private markets. We work with 50+ growth equity, private equity, and venture funds managing over $500B in AUM to transform how they source, evaluate, and act on opportunities. To learn more, visit raylu.ai.

About the Author

Ali Dastjerdi is the CEO and Co-Founder of Raylu. Previously, he was at Insight Partners, where he saw firsthand how the world’s leading software investors navigate rapidly changing markets. He founded Raylu to give every fund access to the intelligence infrastructure that used to be reserved for the largest platforms.