Whitmore
About Whitmore

Every business deserves the leverage the largest ones already bought.

Enterprises have spent a decade buying systems that carry their work for them. Whitmore exists to put that same leverage inside businesses that were never going to hire a department to build it.

What we believe

Four commitments we will not trade away.

01

We own the outcome, not the deck

If we recommend it, we build it. If we build it, we run it. There is no handoff to another firm and no strategy document standing in for working software.

02

Your data stays yours

Systems are built inside your accounts, on your tenancy, with your records. Nothing is trained on your business to serve someone else's.

03

Senior people do the work

The person who scopes your engagement is the person building it. We staff small and deep instead of billing a pyramid.

04

We will tell you not to build it

Some AI ideas are not worth the maintenance they create. We would rather lose the scope than leave you carrying a system that pays for nothing.

A system nobody is accountable for is a system nobody trusts.

The reason we operate what we build
Eugene CyckowskiFounder & CEO
Why Whitmore exists

I spent fifteen years building with startups and enterprises, learning exactly what it takes for a business to grow and to run well.

Whitmore is that experience handed back to the businesses living it. We design the system, build it on your data, and stay accountable for the work it carries, so the growth you want stops depending on how many hours your team has left.

Eugene Cyckowski15 years with startups and enterprises · AI-first since 2019 · Claude Certified Architect · Anthropic Partner Network
How the firm is built

A different shape than the firm you are used to hiring.

Consultancies are built to sell advice and hand the building to somebody else. Whitmore is built the other way around, which changes who you talk to, what you pay for, and who answers when it breaks.

The traditional model
Partners sell it, juniors staff it, someone else implements it.The engagement ends at the recommendation.Billed by the hour, so scope grows with the invoice.Accountability transfers to your team on day one of production.
Whitmore
The person who scopes it is the person who builds and runs it.The engagement ends when the work runs without us watching it.Fixed scope to build, flat monthly to operate. No hourly meter.We stay on the hook for output, drift, and uptime.

Whitmore is deliberately small. We take on a limited number of engagements at a time so the people who know your business are the ones still on it a year from now.

Trust & security

Handing work to a system is a trust decision.

So we treat your access, your records, and your customers’ data as the most sensitive part of the engagement, because to you, it is.

Your tenancy, your keys

Agents run in your cloud and your accounts. Access is scoped per system, logged, and revocable by you at any moment.

No training on your data

Enterprise model endpoints with zero-retention terms. Your records are never used to improve a model or another client's system.

A human at the edge

Money, contracts, and clinical or legal judgement stay with your people. Agents prepare the work; a named person approves it.

Everything is auditable

Every action an agent takes is written down: what it saw, what it decided, and what it changed. Exportable on request.

Built for your regulator

HIPAA-aware handling for clinics, TCPA and consent rules for outreach, licensure boundaries for brokerages.

You keep what we build

Prompts, workflows, and code are documented and yours to keep. If you leave us, the system stays with you.

Careers

We hire operators who like being accountable.

There is no bench and no shadow work here. You scope it, you build it, you answer for it in production, with senior people beside you and a client who can see everything you ship.

Introduce yourself

Let’s put AI to work in your business.

Tell us about your business. We will come back with what we would build, what we would skip, and what it takes to run it in production.