By the summer of 2016, Marie Outtier had spent eight years as a consultant advising media agencies and martech companies on marketing growth strategy.
Pierre-Jean “PJ” Camillieri started as a music software engineer before joining one of Apple’s consumer electronics divisions. Inspired by Siri, he left to start Timista, a smart lifestyle assistant.
When the two joined forces to co-found Aiden.ai, the combination was potent — one was a consummate marketer, the other, a specialist in machine learning. Their goal: create an AI-driven marketing analyst that offered actionable advice in real time.
Humans who manage ad campaigns must analyze vast amounts of numbers, but Outtier and Camillieri envisioned a tool that could make optimization recommendations in real time. Analytics are vast and unwieldy, so theirs was a no-brainer proposition with a market crying out for solutions.
The company’s first office was at Bloom Space in Gower Street, London. It was just a handful of hot desks and a nearby sofa shared with four other startups. That summer, they began in earnest to build the company. A few months later, they had a huge opportunity when the still 100% bootstrapped company was selected for Techcrunch Disrupt’s Startup Battlefield competition.
Interviewed by TechCrunch, they explained their proposition: Marketers wanted to know where a digital marketing campaign was getting the most traction: Twitter or Facebook. You might need to check several dashboards across multiple accounts, plus Google analytics to compile the data — and even if you conclude that one platform is outperforming the other, that might change next week as users shift attention to Instagram, potentially wasting 60% of ad spend.
Aiden was intended to feel like just another co-worker, relying on natural language processing to make the exchange feel chatty and comfortable. It queried data from multiple dashboards and quickly compiled it into flash charts, making it easy to find and digest.
Eventually, instead of managing 10 clients, marketing analysts would be able to manage 50 using dynamic predictions as well as visualizations. Aiden incorporated Outtier’s expertise into its algorithms so it could suggest how to tweak a Facebook campaign and anticipate what was going to happen.
Was appearing at Disrupt a significant moment? “It was a big deal for us,” says Outtier. “The exposure gave us ammunition to raise our first round. And being part of the Disrupt Battlefield alumni gave us many meaningful networking and PR opportunities.”
A few weeks later the company had raised a seed round of $ 750,000. But not without difficulty. By this time Outtier was in the latter stages of pregnancy. Raising money under these circumstances was difficult, but, she says, “it can be done. It’s tougher than ‘normal circumstances.’ It’s a bit like running a marathon, but with a fridge on your back.”
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