Epiminds Raises $6.6 Million For AI Marketing Agents

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Stockholm-based startup Epiminds has raised $6.6 million in seed funding led by Lightspeed Venture Partners, with participation from EWOR, Entourage, and several angel investors including the former CMO of Booking.com. Founded earlier this year by Elias Malm, formerly with Google, and Mo Elkhidir, an engineer who led machine learning teams at Spotify and Kry, the company is emerging from stealth with a working product and early revenue from major Nordic and US agencies. Epiminds founders Mo Elkhidir and Elias Malm Epiminds The founders say their platform automates much of what marketing agencies do each day, using multi-agent artificial intelligence to analyze performance data, generate reports, and even execute campaign optimizations across Google, Meta, TikTok, and other ad networks. They describe it as an AI team for marketers. The system’s visible front end is “Lucy,” an AI marketing manager who orchestrates more than twenty specialized agents trained on live campaign data, agency playbooks, and industry benchmarks. Clients can be onboarded in less than a minute, immediately gaining access to Lucy’s virtual staff of data analysts, creative optimizers, and media buyers. Each agent connects directly to the agency’s clients accounts, pulling and processing live performance metrics such as conversions, impressions, budgets, and audience trends. These agents analyze results and execute approved changes inside client platforms, from adjusting bids to pausing underperforming keywords. Malm says this system reduces the manual reporting and cross-platform management that dominate agency work. The average performance marketer juggles thousands of data points across dozens of campaigns. The firm’s multi-agent framework processes more than 60 million marketing-specific data points each day. “Humans exhibit biases when making data-driven decisions,” Malm said. “We built Epiminds to take that burden off people so they can focus on creative strategy instead of spreadsheets.” The product is built on commercial large language models, including…