Tech • AI • Robotics • Game
He uses 150 AI agents to automate his $50M ARR business
5/10TL;DR
Fontaine, a San Francisco hiring software company focused on frontline workers, reignited growth by building an internal product factory that launched 12 products in 18 months and generated $8 million in its first year.
KEY POINTS
A recruiting platform built for frontline labor
Fontaine was created to serve employers hiring blue-collar workers at scale rather than office-based staff. Its software was designed for high-volume, criteria-based recruiting for roles such as drivers, warehouse staff and delivery workers, where screening can be heavily automated. That focus helped it win fast-growing gig-economy clients including major delivery and logistics groups and raise about $250 million within roughly six years.
Pivot after the gig-economy downturn
The company’s original market weakened sharply as funding conditions changed after the post-2021 rise in interest rates and the shock of the war in Ukraine. As cash became harder to raise, many gig-economy employers cut back, forcing a strategic reset. Fontaine then moved upmarket, selling to large enterprises such as Amazon and UPS, positioning itself as a broader workforce platform for frontline hiring and operations.
An acquisition became a growth engine
A key turning point came after Fontaine acquired Clevy, a French HR chatbot startup founded in 2017. The startup had raised about €2 million, built its own algorithms, and created an open-source language called CSML, but faced a market that proved too narrow. The sale closed in 2022, after several letters of intent from other potential buyers fell through amid the market shock that followed the invasion of Ukraine.
A “company within the company”
After the acquisition, the incoming team argued that Fontaine had become too slow and process-heavy to innovate. Rather than simply integrate the acquired technology, they negotiated unusual autonomy: separate product development, dedicated marketing, and their own go-to-market resources. The result was effectively a parallel organization inside Fontaine, with its own tools, branding rules, incentives and sales support.
Twelve products in eighteen months
That internal unit focused on building a repeatable machine for launching software, not a single feature. It produced 12 products in 18 months, each aimed at a major frontline-work use case such as onboarding, compliance, scheduling or learning. The goal was to expand beyond recruiting and move toward a unified workforce software suite for a segment that remains underpenetrated by enterprise software.
A fast-launch operating model
The team used a 3x3 method: roughly three months of customer discovery and design, three months to build a minimum viable product, and three months to reach general availability. A product would not move into development until at least three customers indicated they would buy it. Product marketing materials, sales enablement and launch assets were prepared in parallel so that the commercial team could act immediately at release.
Revenue far above target
Initial expectations were modest: about €300,000 in annual recurring revenue over 18 months. Those targets were rejected as too small to prove the model. Instead, the internal unit negotiated performance-based incentives tied to new recurring revenue and delivered about $8 million in its first 12 months, despite weakness in the company’s legacy business. It did so while spending about $5 million to generate that revenue.
Integration brought culture conflict
Success eventually forced a merger between the high-speed internal unit and the legacy recruitment product team. That created a difficult cultural integration after months of rivalry between two groups with different tools, processes and management styles. Customers also felt the strain, with overlapping systems and multiple logins undermining the promise of a unified platform.
A large executive scope
The executive who led the turnaround now oversees an unusually broad remit as Chief Product and Technology Officer, managing around 150 of the company’s 200 employees. The role spans product, engineering, data, cloud, design, AI teams, support, marketing, product marketing and revenue operations. Current company budget is around $300 million, underscoring the scale of the operation.
AI is reshaping software strategy
The company now sees AI as central to how products are built and delivered. The view is that traditional SaaS is not disappearing but being rebuilt around agent-based systems and internal code-generation infrastructure. Startups are increasingly advised to invest first in their own development “harness” so software creation itself becomes a compounding advantage.
CONCLUSION
Fontaine’s rebound illustrates how a mature software company can restore growth by pairing a clear market pivot with an aggressively product-led operating model. The larger bet is that frontline work, long overlooked by enterprise software, may become one of the most important arenas for the next wave of AI and workforce technology.
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