DOJO AI Raises $6M to Expand Agentic Marketing Platform
DOJO AI closed a $6 million seed round at a $30 million valuation, led by Armilar with participation from Heartfelt VC, to accelerate development and U.S. expansion. The Lisbon- and London-based startup offers an agentic marketing system that uses specialized AI agents and a continuously updating knowledge model, the DOJO Graph, to convert paid, organic, and SEO signals into autonomous actions and measurable outcomes. DOJO AI says it serves more than 100 customers including CoinDesk, Morningstar, and PensionBee, and reports rapid growth and client outcomes such as steep reductions in cost per acquisition. The funding is earmarked for scaling multi-agent capabilities, expanding U.S. infrastructure, and productizing autonomous workflows for marketing operations.
What happened
DOJO AI announced a $6 million seed round at a $30 million valuation, led by Armilar with participation from Heartfelt VC. The company, headquartered in Lisbon and London, will use the funds to scale its agentic marketing product, expand into the United States, and enhance infrastructure and multi-agent automation.
Technical details
DOJO AI positions itself as an "agentic" marketing system where specialized AI agents do more than report; they execute and learn. At the core is the DOJO Graph, a living knowledge model that continuously maps a brand's marketing reality across paid, organic, and SEO channels. Key platform capabilities include:
- •continuous monitoring of paid and organic campaigns and competitive signals
- •automated SEO and Answer Engine Optimization audits
- •brand-aligned content generation and distribution orchestration
- •autonomous workflow execution that feeds outcomes back into the DOJO Graph to compound intelligence
The company claims customer traction with over 100 brands and reports performance signals such as 20% month-on-month growth and client-case improvements like a 79% reduction in cost per acquisition. Founders Duarte Garrido and Antonio Alegria emphasize real-time decision-making and outcome feedback loops as the differentiator: "DOJO AI solves that pain by analyzing all marketing data with full context...and then acting on it," said Duarte Garrido.
Context and significance
Agentic systems are moving from concept to product in 2026, and DOJO AI is an early specialist applying that pattern to marketing operations. Rather than a dashboard or a point analytics tool, the company is combining a knowledge graph, continuous telemetry ingestion, and autonomous agents that can trigger content, bidding, and optimization actions. This mirrors broader industry trends: the shift from observability and reporting toward closed-loop automation and outcome-driven agents. For MarTech stacks, that implies a potential consolidation pressure on analytics, CDP, and campaign orchestration vendors if agentic platforms reliably deliver measurable ROI and safe automation.
Risks and practical considerations
Autonomous actions in marketing raise integration, governance, and measurement challenges. Practitioners will need robust auditing, human-in-the-loop checkpoints, and safeguards against brand-drift and erroneous spend. Data connectors, latency, attribution models, and privacy compliance will be gating factors during U.S. expansion.
What to watch
Monitor DOJO AI's U.S. go-to-market hires, enterprise integrations with major ad platforms and CDPs, and independent verification of performance claims. Also watch how the company implements governance controls and human oversight as it increases action autonomy.
Scoring Rationale
A **$6M** seed round for an agentic marketing startup is notable for practitioners tracking automation trends but not industry-shaking. The story matters for MarTech and automation adoption but falls in the mid-range for strategic impact.
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