Three years. One motion. Four business lines.

01:Built new revenue lines from zero

G2i started this window as one motion: professional staffing. It's now four.

• Human data with frontier labs. Moved the business from pure staffing to going direct with an in-house human-data and RL-environment stack for frontier model labs. We deployed 100 engineers in under two days for a frontier lab's codex-testing project.
• Orchestrator (orc.ai). A patent-pending, SOC2-compliant multi-agent orchestration product for complex engineering work, publicly debuted at AI Engineering World's Fair.
• Managed services. Stood up as a first-class business line in its own right: full engagements for enterprise and lab customers, not placed engineers.
• Enterprise & frontier-lab accounts. We work with the leading frontier model labs and enterprises including Microsoft, Meta, Coinbase, and Discover.

02:How it got built: cross-functional collaboration + the events engine

The growth numbers are the output. My part was leading the effort and hiring and placing the right people in every function to execute it.

• Cross-functional partnership. With finance: the model, targets, and unit economics that kept growth profitable. With talent: hiring the staff-level engineers who do the lab work. With engineering: technical framing, lab overviews, and delivery. With go-to-market: sales and the executive relationships.
• Relationships that open frontier-lab doors. Executive conversations, dinners, and on-the-ground presence: the un-instrumented top of funnel behind the pipeline.
• Conferences the team runs. React Miami and AI Engineering Miami produced end to end by the team, plus AI Engineer San Francisco and London Tech Week presence.
• Events & marketing that feed the funnel. VIP dinners in London, New York, and Paris; the influencer/creator channel feeding both recruiting and human-data pipelines.
• Proof it worked. Events were the single largest lead source in Q2 2026: 1,075 leads, 59% of the quarter, led by AI Engineer World's Fair.

03:Built the operating discipline that didn't exist before

The staffing business ran on instinct and spreadsheets. It now runs on a real system.

• Stood up G2i's first live RevOps reporting system: a real-time pipeline dashboard, an automated weekly leadership brief, and a forecast model whose stage-probabilities and health thresholds are tunable without a code change.
• Fixed the data foundation underneath all of it: rebuilt the lead database and data hygiene so the reporting could actually be trusted and forecast on.
• Built and validated a real paid-acquisition ROI model instead of gut-feel spend: proved the channel out, scaled it only as the return held, and walked away when the economics stopped working.
• Brought in and stood up an outsourced RevOps team on a built-vs-buy case: running the systems at a fraction of the in-house cost.
• Extended the CRM's data model to support two brand-new business lines as first-class objects.

04:Revenue and profit growth

Revenue grew 122% from 2024 to 2025. One quarter of 2026 alone did 2.7× the revenue of all of 2024. EBITDA grew 21.7× quarter over quarter. Margins held steady even as the business mix shifted. This wasn't growth bought with margin.

05:Where this is headed

On the trajectory set during this window, G2i is targeting roughly $80M in 2026 revenue, up from a $10-15M base three years earlier, carried by the human-data ramp, working with the leading frontier labs and enterprises like Microsoft, Meta, Coinbase, and Discover.

A note on numbers: 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 have been generalized or omitted, consistent with standard confidentiality obligations to a former employer. The company name, named enterprise clients, and the "$10-15M → $80M" revenue framing are all already public via my LinkedIn profile.