Previous performance · G2i, 2023 to 2026

How the growth showed up.

An events engine that became the largest lead source. A dedicated human-data layer. Two people who reported to me.

122%
Revenue growth, 2024 to 2025
2.7×
Q1 2026 revenue vs. all of FY2024
21.7×
EBITDA growth, quarter over quarter, margin held
59%
Of Q2 2026 leads, from presence

Growth rates and ratios above (122%, 2.7×, 21.7×) are accurate. Absolute dollar figures, named prospects, and vendor-specific detail from G2i's internal records are omitted. The company name, Microsoft / Meta / Coinbase / Discover, and the $10-15M to $80M framing are already public on my LinkedIn.

01

Presence was the top of the funnel.

Cold outbound to frontier-lab researchers doesn't work. Being where they are does.

Presence wins

Conferences the team produced. React Miami and AI Engineer Miami, end to end. Presence at AI Engineer San Francisco and London Tech Week.
Dinners. VIP dinners in London, New York, and Paris. The part of the funnel no dashboard captures.
Creator channel. Feeding recruiting and human-data pipelines at once.

proof it workedQ2 2026: 1,075 leads, 59% of the quarter, led by AI Engineer World's Fair.

02

The human-data layer.

The company already owned the hard assets: lab relationships, an expert network, compliance. The gap was a dedicated layer that turns those into trusted lab programs.

The layer

Borrow the infrastructure. Lab paper, matching, recruiting, and compliance already exist. Don't rebuild them.
Add only the AI-specific owners. GTM, program ops, expert ops — a small team with clear seats, not a giant org on day one.
Sell trusted outputs, not access. The market pays for results that improve models, not for a rolodex of experts.
03

Operating discipline that didn't exist before.

The staffing business ran on instinct and spreadsheets. It left running on a system.

Live RevOps. A real-time pipeline dashboard, an automated weekly leadership brief, and a forecast whose thresholds are tunable without a code change.
Trusted data underneath it. Lead database and hygiene rebuilt so the reporting could actually be forecast on.
Paid acquisition on ROI, not gut. Proved the channel, scaled while the return held, walked away when it didn't.

How that system runs now — the fleet, the human gate, the stack.

From inside the org

Two people who reported to me, in their own words.

One thing that really stands out about Patrick is how much he embraces AI and agentic workflows. He's one of the best people I know at using AI to get work done more effectively. He constantly shares what he learns, and because of him, so many people on the GTM team started using AI in their day-to-day work.

Yousra SalehSenior Growth Manager, G2i. Reported to Patrick.

I had the pleasure of learning from Patrick about agentic workflows, AI agents, and the broader systems that enable teams to operate more effectively. His democratic leadership style stood out most. He trusted his teams to execute, empowered them with the right guidance, and avoided unnecessary micromanagement.

Kyle RogersMilitary Veteran, Customer Success and Revenue Leadership. Reported to Patrick.