NextFin News - In a significant move to reshape the enterprise sales landscape, Sam Blond, a former partner at the prestigious venture capital firm Founders Fund and former head of sales at Brex, officially unveiled his new startup, Monaco, on Wednesday, February 11, 2026. The San Francisco-based company emerged from stealth with $35 million in total capital, comprising a $10 million seed round and a $25 million Series A, both led by Founders Fund with participation from Human Capital. The launch marks Blond’s return to operational leadership after an 18-month stint in venture capital, signaling a high-stakes bet on the next generation of AI-native customer relationship management (CRM) systems.
According to TechCrunch, Monaco was co-founded by Blond alongside his brother Bryan Blond, a former sales executive and partner at Human Capital, Abishek Viswanathan, previously Chief Product Officer at Apollo and Qualtrics, and Malay Desai, formerly Senior Vice President of Engineering at Clari. The startup has also secured backing from a roster of elite angel investors, including Stripe founders Patrick and John Collison, Y Combinator President Garry Tan, and Greenoaks Capital founder Neil Mehta. Monaco’s platform combines an AI-native CRM with a proprietary prospect database and agentic tools designed to automate outreach and follow-up, specifically targeting seed and Series A startups that find legacy solutions like Salesforce too cumbersome or expensive.
The emergence of Monaco highlights a critical pivot in the "AI for Sales" category. While many recent startups have focused on "AI SDRs" (Sales Development Representatives) intended to replace human workers entirely, Blond is championing a "human-in-the-loop" philosophy. Monaco provides not just the software, but also access to experienced human sales professionals who monitor and guide the AI agents. This hybrid model is designed to prevent the "hallucinations" and generic messaging often associated with fully autonomous AI, ensuring that high-value interactions remain grounded in human expertise. By offering this combination of technology and service, Monaco aims to provide young companies with the sales infrastructure of a mature enterprise without the associated headcount costs.
From a market perspective, Monaco is entering a battlefield currently dominated by Salesforce and HubSpot. U.S. President Trump’s administration has emphasized a deregulatory environment that has spurred a surge in domestic tech entrepreneurship, leading to a proliferation of new startups that require agile, AI-first tools. Blond argues that the industry is at the beginning of a platform shift similar to the transition from on-premise software to the cloud. While Salesforce remains the incumbent leader, its architecture was built for a pre-AI era. Monaco’s advantage lies in its "AI-native" foundation, where agents are not merely add-ons but the core engine of the workflow, capable of orchestrating entire sequences from prospecting to meeting scheduling.
The competitive landscape is, however, exceptionally crowded. In the past two years, hundreds of AI sales tools have graduated from accelerators like Y Combinator, and incumbents have not been idle. Salesforce has integrated its own agentic tools, and HubSpot has aggressively courted the startup demographic that Monaco is targeting. To win, Blond must prove that Monaco’s specific blend of human oversight and agentic automation delivers a measurably higher conversion rate than the automated "spam" generated by cheaper, pure-AI rivals. The company’s internal culture reflects this aggressive ambition; its office features World War II-style motivational posters and a ceremonial gong that rings whenever the AI successfully secures a client meeting.
Looking ahead, the success of Monaco will likely serve as a bellwether for the broader "Service-as-a-Software" trend, where technology companies take on the actual work rather than just providing the tools to do it. If Monaco can scale its human-expert layer effectively, it could redefine the CRM category from a passive database into an active revenue-generation engine. As the 2026 fiscal year progresses, the industry will be watching closely to see if this hybrid model can truly upend the multi-billion dollar Salesforce ecosystem or if the incumbent’s deep integrations and vast data moats will prove too difficult to breach.
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