The startup, founded in August 2024 by Duarte Garrido and Ant\u00f3nio Alegria, said it serves more than 100 brands across the U.S. and U.K., including CoinDesk, MorningStar, PensionBee and Broadvoice. DOJO AI reported 20% month-on-month growth since launch.<\/p>\n
At the platform’s core is the DOJO Graph, a knowledge graph that maintains a continuously updated model of a brand’s marketing activity. Specialized AI agents reason on that graph, execute workflows and feed outcomes back into the system \u2014 an approach the company said compounds intelligence over time.<\/p>\n
Table of ContentsMarketers Should Aim for Intelligence <\/p>\n
In a blog post published alongside the announcement, co-founders Duarte Garrido and Antonio Alegria framed DOJO AI’s approach as a response to a structural problem in how marketing teams operate today. The average team runs 12 or more tools, they wrote, none of which share context or act on what they know \u2014 leaving teams spending half their time stitching together reports and making decisions based on stale data. <\/p>\n
“The ceiling on what a marketing team could achieve was never budget,” they wrote. “It was intelligence.”<\/p>\n
Garrido spent 15 years leading marketing at global brands including Coca-Cola and Sky, where he said he experienced fragmentation firsthand: capable teams unable to act on the intelligence they were already sitting on. <\/p>\n
Alegria built data and AI architecture at Feedzai and OutSystems \u2014 both of which scaled to unicorn valuations with Armilar’s backing \u2014 and saw the same gap from the technical side. The co-founders said that combination of domain experience and technical depth is what makes DOJO’s architecture possible, and what brought Armilar back for another investment.<\/p>\n
<\/p>\n
Agentic Marketing vs. AI Marketing Tools <\/p>\n
The company distinguishes what it calls “agentic marketing”<\/a> from conventional AI marketing tools, which it characterizes as reactive \u2014 responding when prompted. DOJO, by contrast, is designed to monitor channels continuously, surface issues before they’re flagged and execute workflows across paid, organic, SEO and content without waiting for user input. <\/p>\n “Most AI resets,” the co-founders wrote. “DOJO compounds.”<\/p>\n The blog post included customer-reported performance figures across several accounts. MorningStar reported a 79% drop in cost per acquisition and a 3x increase in conversion volume over a 23-day window. Broadvoice reported a 40% drop in acquisition costs and a 290% increase in content output. Ecologi reported 3x improvement in Google Ads efficiency quarter-on-quarter. <\/p>\n The $6 million will fund two priorities, according to the company: deeper multi-agent autonomy for handling complex end-to-end workflows, and accelerated U.S. expansion. DOJO AI said most of its 100-plus customers are already based in the U.S. The platform starts at $499 per month with no contracts.\u00a0<\/p>\n DOJO AI’s approach to marketing technology is transformative. With founders that combine deep domain knowledge and field experience in this space with some of the best talent to build the technology from first principles, we’re confident in their vision and proud to partner with them as they expand a platform that is redefining how companies turn marketing data into actionable decisions.\u00a0<\/p>\n – Pedro Ribeiro Santos, managing partner<\/p>\n Armilar<\/p>\n DOJO Platform Capabilities CapabilityDescriptionMulti-agent AI systemAI agents that execute marketing workflows autonomouslyDOJO GraphKnowledge graph with a continuously updated marketing data modelCross-channel orchestrationWorkflows spanning paid, organic, SEO and content channelsContinuous data captureReal-time ingestion of campaign, competitor and customer signalsCompounding intelligenceOutcomes feed back into the system to refine future actions Recent DOJO AI News<\/p>\n The April round represents a sixfold valuation increase from the startup’s\u00a0prior raise in under a year<\/a>. DOJO AI first emerged in June 2025, when it\u00a0secured $1 million in pre-seed funding<\/a>\u00a0from Angel Ways, Heartfelt, Unicorn Factory Lisboa and COREangels to build an AI marketing operating system for challenger brands.<\/p>\n The new capital, sized at $5.9 million locally, is\u00a0earmarked for U.S. expansion<\/a>\u00a0and will scale a system that unifies marketing data and deploys agentic workflows across channels.<\/p>\n Agentic AI Reshapes Marketing Operations<\/p>\n Agentic marketing<\/a>\u00a0is replacing rules-based decisioning in the martech stack with goal-oriented systems that reason, act and learn autonomously \u2014 creating both opportunity and new governance demands for marketing operations leaders.<\/p>\n As\u00a0adaptive agents displace hard-coded logic<\/a>, marketing teams must rethink how workflows, data and accountability intersect across the customer journey.<\/p>\n From Rules Engines to Autonomous Orchestration<\/p>\n Legacy automation lacked learning capacity, limiting real-time decisioning.\u00a0Predictive analytics<\/a>\u00a0advanced the field but stopped short of workflow integration. Agentic AI closes that gap by embedding goal-oriented, adaptive decisions directly in the stack.<\/p>\n Multi-agent orchestration extends this further.\u00a0Agentic systems can reason and act independently<\/a>, managing complex workflows without constant human oversight \u2014 a meaningful shift for teams running parallel paid, organic, SEO and content programs.<\/p>\n Martech Stack Implications<\/p>\n Agentic AI alters every major system in the marketing technology stack:<\/p>\n Marketing automation:\u00a0Requires new triggers detecting AI-mediated research, not just email sequences or page visits.CRM:\u00a0Loses visibility into AI-driven evaluation outside trackable channels, creating intelligence gaps.Analytics and attribution:\u00a0Must evolve beyond touchpoint models to include AI-related metrics such as citation frequency.Content and SEO:\u00a0Content must\u00a0perform well in AI summaries<\/a>\u00a0while remaining persuasive for direct human engagement.Governance & Accountability<\/p>\n AI accountability is becoming a global requirement, with high-profile failures triggering new safety, auditability and liability frameworks.\u00a0Marketers are being advised<\/a>\u00a0to rethink governance structures before accelerating automation.<\/p>\n Learning OpportunitiesView all<\/a>DOJO AI Background <\/p>\n
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