Agilentz

Agilentz was founded in 2006 as a loss prevention play for grocers, using video verification of suspect transactions processed through servers deployed at store locations. The company was hardware-centric and capital-intensive—a fundamental mismatch with the recurring revenue model that VCs loved. By 2008, venture investor NextStage Capital (and others) recognized the underlying technology had promise, but the go-to-market was broken. They recruited Russ Hawkins, an experienced operator who had previously sold a high-performance computing company. "I thought it was great technology with poor go-to-market and poor marketing," Russ recalls.

Russ spent five years (2008–2013) transforming the business. The first phase converted the hardware model into a recurring SaaS subscription, but the real pivot came in 2013 when Agilentz shifted from video-centric loss prevention to data analytics and exception-based reporting. Instead of having headquarters analysts review grainy video footage, Agilentz would ingest data exhaust from all retail systems (POS, inventory, e-commerce, HR) and surface actionable insights. The company launched a minimum viable product in 2013 and iterated rapidly. Originally focused narrowly on loss prevention, the platform evolved to power operational analytics, merchandising optimization, marketing insights, and financial analysis.

Agilentz's first $1M revenue year came in 2014 (with the new platform) and hit $10M ARR in 2018. Growth was methodical and capital-efficient. Russ took a disciplined approach to fundraising—raising money *before* desperate, in incremental rounds, peppered with debt to preserve equity. The company raised approximately $30M in total venture equity alongside strategic debt facilities, keeping control and flexibility. By the time Quadria Capital acquired the company in 2021, Agilentz had ~300 customers across three verticals (grocery, specialty retail, drugstores, and restaurants) with an average ACV of $125K. The largest accounts were approaching $1M annual spend.

What worked: the pivot from hardware to pure SaaS data analytics (2013), the disciplined capital structure (mixing equity and debt), and the vertical focus (retail, grocery, restaurants). Russ built a 70-person company with 27–28 engineers and a tightly staffed 10-person sales organization (5 quota-carrying AEs). Each AE's target was ~$1M ARR, achievable in a land-and-expand model where customers initially adopted for loss prevention but expanded across operational analytics, merchandising, and finance use cases.

What didn't work: the 2021 sale to Quadria Capital. Russ believed the company should have commanded an 8x revenue multiple but sold at sub-5x. The issue was investor misalignment—later-stage VCs (particularly a family office) wanted an exit, while the original backer (NextStage) would have held longer. "I think we sold the company short," Russ admits. That said, Quadria proved to be the right partner post-acquisition. The PE firm gave Russ capital, operational support, and strategic latitude to pursue inorganic growth.

Agilentz is running at ~$35M ARR (2023), up 17% YoY, with three customers approaching $1M annual spend. Russ is now using Quadria's backing to pursue acquisitions in adjacent areas: incident management, task management, frontline HR/human capital management for retail, real-time e-commerce analytics, supply chain management, and restaurant tech. He's also exploring bolt-on acquisitions in new geographies, finding that greenfield expansion is expensive and slow. The capital structure is now 60% equity, 40% debt, with a bank-led facility (PNC) and subordinated debt from Hercules and other providers—a model Russ credits to Quadria Capital's debt structuring expertise. At 64, with four kids and a newborn, Russ remains focused on disciplined growth and clear decision-making.