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KENNAN · DISPATCH · 2026.06.28 · NYC · LON · FRA

Company · Kennan AI Inc.

The analyst seat on your team. A company built by one ex-analyst.

Kennan is an AI agent that does the work a senior analyst would do, so decision-makers can build the business cases their decisions rest on. We were started by an analyst with ten years in the industry, and we're building for finance teams and asset managers — not consumers, and not as a copilot for the analyst's existing workflow.

Kennan is named after George F. Kennan, the American diplomat who wrote the Long Telegram. That 8,000-word cable, sent from Moscow in 1946, helped define US Cold War strategy for decades. We took the name as a nod to what a well-built memo can do: the form an argument takes is part of the argument itself.

From the founder · Kennan AI Inc.NYC · 2026.05.03

Manifesto · Why Kennan exists

Ten years as a financial analyst, and the tools never quite kept up with the work.

I trained as a software engineer before switching into finance, where I stayed for a decade. I ran corporate-finance and capex analysis for Fortune 500 management, worked as lead analyst on M&A deals that closed, and finished as a principal at a family office deploying over $100M into private equity and venture across banking, real estate, and technology. The roles kept changing. The core never did: build the models leaders rely on to decide, and make sure every assumption is grounded and the memo holds together.

Here's what that decade really felt like. The work is hard in ways the tools never acknowledged, and for most of those years the tools were just Excel and PowerPoint. The data is messy and arrives in a dozen shapes that refuse to line up. Research eats days. Modeling is slow, because a model is just the logic you write out by hand in Excel, always against a deadline. And the people you do it for are demanding because they have to be. A senior leader is about to make a call worth more than you'll earn in a decade, and they're making it on your numbers. The standard is unforgiving, as it should be, because a wrong figure becomes a bad decision.

Now look at it from the other chair, the half nobody talks about. The leader making the call is just as stuck. They can only decide as fast and as well as their analysts let them. Good analysts are expensive, and it takes years to train one to truly understand an industry. There are only so many hours in a day. So a hundred-million-dollar decision ends up capped by the bandwidth of a few tired people working against the clock. That's the real problem, and it sits with neither the analyst nor the leader. Rigorous financial work simply doesn't scale.

The tools never helped with any of this. Excel is where the work happens, and it's bad at most of what you ask of it. The shared drive where all that work lives is worse. And the new wave of AI-for-finance tools manages to be worse still. They'll write you a forty-page memo in an afternoon, and the structure looks right and the prose sounds confident. But the assumptions come from nowhere, the numbers don't tie, the citations are invented, and if you run it again you get a different answer. It looks like an analyst's memo without being anything like one. Enough of them are shipping now that the work itself is losing credibility inside the firms that used to take it seriously.

I built Kennan to do the hard part instead of dodging it. It isn't another tool laid on top of the old ones; it's meant to be the analyst itself — an agent that produces the work a real analyst ships, held to the standard the work has always demanded.

It runs on a few convictions that are unfashionable right now. Every number it gives you traces back to where it came from. Run the same analysis twice and the answer doesn't move. Every version can be locked, with a record of who changed what and when, so the work still holds up when legal reviews it or someone reopens the deal a year later. And your documents stay yours, handled under signed agreements with no data retention and EU residency if your firm needs it.

I'm building this for institutions rather than consumers: corporate finance teams, asset managers, private equity firms, anyone who has to defend a business case in front of a board or an investment committee. It's not a chat assistant playing financial advisor.

If your firm cares more about whether the work holds up than how fast the reply lands, and about analysts keeping authority over the work that carries their name, I'd like to talk.

— V. Z., for Kennan AI Inc.

FOUNDER · NYC · 2026.05.03

Commitments

Six commitments to your firm.

Plain language for the people who have to sign off on the vendor: your data, our scope, the product surface, the audit trail, the infrastructure, and who owns the work.

01

Your data is yours.

No training on your data. At launch, zero-data-retention contracts with every model vendor and signed DPAs with every subprocessor, so MNPI routes only through vendors with contractual zero retention.

Subprocessor
Contract
Region
Anthropic
ZDR · DPA · planned
US
OpenAI
ZDR · DPA · planned
US
Google Cloud
Subprocessor agmt
US / EU
02

We specialize in finance.

One product, one job. Built by an analyst with a decade running corporate finance, M&A, and PE diligence — not a general chat tool that learned finance on the way. We won't pivot to “AI for legal” because the market got hot.

Board packIC memoLBO modelDCFFootball fieldCompsPitch deckLP update
03

The product is the deliverable, not the chat.

You get the model in Excel, the memo in Word, the deck in PowerPoint — the artifacts your stakeholders actually read. The chat is infrastructure.

.xlsxExcel
.docxWord
.pptxPowerPoint
.pdfPDF
04

Same inputs, same answer.

Every model is stored as a deterministic program. Run it twice, get the same numbers. Every external fact carries a timestamp and source. Every version can be locked with a full audit trail.

Ver.
State
User
Time
v12
● locked
jane@acme
06-02 14:22
v11
○ draft
jane@acme
06-02 13:08
v10
● locked
mark@acme
05-30 09:14
05

Enterprise-grade infrastructure.

Google Cloud Platform for compute and isolation. Postgres with row-level security. Three independent layers of tenant separation. SOC 2 Type II in progress; EU residency available on request.

GCPGDPRSOC 2EU residencyPen test
06

You own the work.

Your versions are yours to lock, edit, or delete — the system never refuses an owner action. Export anywhere, anytime. If you leave Kennan, the work leaves with you.

LockUnlockEditDeleteExport

Contact

How to reach us.

Each of these inboxes is checked by someone on the team; you'll usually get a reply within a day.

Founder · direct line

contact@kennan.ai

For senior buyers, design partners, and anyone who's read the manifesto and has a workflow to test.

Sales · demos · trials

sales@kennan.ai

Coverage in NYC, LON, FRA. Asks: company, role, ~5-line description of the workflow you’d test on.

Security · DPA · disclosures

security@kennan.ai

Vulnerability disclosures, SOC 2 progress (Type II in progress), DPA and data-handling questions.

Press · coverage · quotes

press@kennan.ai

Press kit pending. For now, reach out and we'll send what we have.

Careers · founding engineer

careers@kennan.ai

Hiring two. Engineering taste over years of experience. We don't post on job boards.

See how Kennan can help you deliver your work.

Build a real business case with data, research, scenarios, and presentations with your projects.