Lisandra Mai
Age 0 · San Francisco, United States · founder of MAI
Brands already trust MAI's AI agents to manage millions of dollars in ad spend each month, and Lisandra Mai turned that traction into a $25 million seed round led by Kleiner Perkins.
№ 032Exhibit AThe Setup
Lisandra Mai positioned MAI in a brutally simple way: an AI platform that directly drives revenue by automating and optimizing performance marketing. Instead of pitching generic copilots, she anchored the product on a clear financial outcome that every founder and CMO understands, more efficient ad spend that turns budget into measurable growth.
MAI was built by AI and machine learning engineers who had already seen how fragile in house marketing stacks can be when channels or algorithms shift. That background shows up in the wedge they picked, not creative inspiration but automating the tedious, high stakes work of tuning and reallocating ad budgets across platforms where mistakes burn cash in hours, not quarters.
The Evidence
By the time MAI announced its seed round, brands around the world were already using its AI agents to manage millions of dollars of digital ad spend every month. That phrasing matters because it told investors and customers that this was not a lab demo, it was live software that controlled real money and was trusted in production by revenue teams.
The $25 million seed round, led by Kleiner Perkins with participation from Gaorong Ventures, UpHonest Capital and others, was explicitly framed as fuel to expand the product and engineering teams and to accelerate development of the AI agent platform. Instead of promising a sprawling product roadmap, Lisandra tied the use of funds to deepening the one engine that was already working, autonomous ad optimization for small and mid sized businesses that normally cannot afford enterprise grade tooling.
The Mechanism
1. Lead with money outcomes, not features: MAI did not market itself as abstract AI for marketers, it said in plain language that its agents automate and optimize performance marketing and are already managing millions in ad spend, which compresses the time from curiosity to pilot for any budget owner.
2. Turn live spend into social proof: by highlighting that global brands trust MAI agents with real campaign dollars, Lisandra converted a technical achievement into a credibility asset that made a large seed round from Kleiner Perkins look like a logical follow on, not a risky bet on unproven tech.
3. Aim the round at a single flywheel: the funding announcement made it clear the capital would go straight into more engineering and faster iteration on the AI agent platform, which tells both talent and customers that the company is committed to making the core automation loop smarter rather than chasing distracting side products.
The Steal
- Describe your AI product in the language of revenue and budget control so buyers can map it directly to a line item they already own.
- If your system touches real money or mission critical workflows, publish those usage metrics as your main proof of value instead of vanity user counts.
- When you announce funding, tie every dollar to a simple product thesis so investors, candidates and customers all see the same focused plan.
Case Questions
- What does MAI do?
- MAI is an AI platform that uses autonomous agents to automate and optimize performance marketing. Its software manages and adjusts digital ad spend across channels for businesses, with a clear goal of driving more revenue from the same or lower budget.
- How did Lisandra Mai grow MAI?
- Lisandra Mai focused MAI on a concrete problem, making performance marketing more efficient, and got the product into the hands of brands that were already spending heavily on digital ads. By proving that MAI agents could safely manage millions of dollars in ad spend each month and framing that traction clearly, she was able to attract institutional investors and expand the engineering and product teams off the back of real usage.
- How much funding has MAI raised?
- MAI announced a $25 million seed round led by Kleiner Perkins, with participation from Gaorong Ventures, UpHonest Capital and other investors. That capital is earmarked for hiring more product and engineering talent and for accelerating development of the core AI agent platform for marketing automation.
- Who is MAI built for?
- MAI is designed for businesses that rely on performance marketing and want to get more from their digital ad budgets. The company specifically highlights small and mid sized businesses that historically have not had access to enterprise grade advertising technology but still need sophisticated optimization to compete.