Enso Raises $15M Series A to Build Agentic Growth Hacking
Enso, a startup building AI-agent systems for marketing and sales, has raised US$15 million in a Series A round led by MoreTech Ventures, bringing the company’s total funding to US$23 million.
Founder Mickey Haslavsky describes the company’s approach as Agentic Growth Hacking.
Enso deploys AI agents that continuously discover how distribution platforms decide what gets seen, then use that knowledge through governed playbooks across search and AI-answer visibility, sales outreach, community engagement, newsletters, and social.
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The system splits learning from execution. A learning layer observes platform signals and proposes playbooks. A deterministic execution layer runs approved playbooks with fixed limits, while a human reviews each playbook before it reaches execution.
“The three words that matter are discovery, governed, and continuous,” Haslavsky told Entrepreneur Middle East. “Discovery, because we are learning rules nobody publishes. Governed, because an agent that is free to do anything will eventually do the thing that gets you banned. Continuous, because the rules change, so the work never finishes.”
What the Funding Will Support
Enso publishes its experiments, including failures, with sample sizes and methods. The Series A will fund expansion of the research program to more platforms and answer engines, growth of the engineering team building the agent runtime and execution workflows, growth of the marketing team deployed into customers, and continued funding for the open-source skill library and public research record.
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