About | Quillwell

The Company

Consulting and products for B2B revenue teams

Quillwell helps B2B companies build go-to-market systems that actually work. We focus on the intersection of strategy, process, and technology, where most revenue teams struggle.

Our consulting practice works with early-stage startups and growth-stage companies to design and implement GTM motions. We don't just advise; we build alongside your team.

Our Labs arm develops AI agents that automate complete GTM workflows within your systems and in line with the policies of the platforms you use. These start as solutions for consulting clients, then become standalone products when they prove out.

8+

Years helping B2B companies grow

9-fig

Pipeline generated across clients

Pre-IPO

To public company experience

Founder

Roman Kopytko

I've spent my career building demand generation and growth functions at B2B startups, from 7-figure revenue to 9-figure, from seed stage to IPO. Along the way, I kept building the same systems: ABM programs, AI-driven outbound, real-time intent models, and the integrations that tie everything together.

Quillwell is where I package that experience for other companies. I work directly with founders and revenue leaders to solve the GTM problems I've seen (and solved) repeatedly.

Currently

Growth at Ona (formerly Gitpod). Leading and scaling growth initiatives for the company's next chapter.

Previously at

How We Work

Principles that guide every engagement

01

Build systems, not one-off campaigns

We build systems that can be reused, measured, and improved. Centralized sources of truth, clear owners, defined inputs and outputs. The default question: how does this plug into the broader GTM machine?

02

Automate everything that isn't judgment or relationship

Human time is for hard conversations, strategy, and creativity. Automation handles enrichment, routing, reporting, and sequencing. If it's repetitive and rules-based, it should be automated.

03

ABM means we actually did the homework

If we say we're doing ABM, the account should feel it. Real research into initiatives, constraints, and internal language. Clear tiers: Tier 1 is high-touch, Tier 2 is scaled but specific, everything else is lightweight.

04

Data is a tool, not a religion

Signal quality over fancy dashboards. Clean data over more data. Every score or dashboard should answer: "What do we do differently tomorrow?"

05

Make work compound

Good GTM work makes the next piece cheaper and more effective. Content reused across channels. Campaigns structured as rolling programs. Each experiment scales, gets templatized, or gets killed quickly.

06

Talk in use cases and outcomes

If a buyer wouldn't say it or care about it, it doesn't belong in our messaging. Lead with specific problems. Show concrete outcomes. No "AI vapor" or clever-but-empty language.

07

High ownership, finite bets

We take ownership by default, but we want to be effective, not busy. A small set of clear bets per quarter. Specs before execution. Saying "not now" to protect the roadmap is part of the job.

08

Raise the floor for the team

If it only works when we touch it, it's not a good system. Playbooks and templates others can run. Tools designed for how reps actually work. Enablement is core GTM, not an afterthought.

Trust

Security and data handling

We build on audited cloud infrastructure and keep our footprint intentionally small. Data from your ad and analytics platforms stays within our stack and is used only to run the systems and agents you configure. We do not sell your data, and we do not use your ad platform data to train public models or data products.

GTM systems built by someone who's done the work