News
Research Report
Business Leaders CX Report: What’s Working and What’s Not in AI-Driven CX
The Gist
- Seed round closed. Armilar led the $6 million raise at a $30 million valuation.
- Proactive AI system. DOJO AI acts on marketing data rather than just reporting on it.
- Operational efficiency. Marketing leaders gain faster insights, lower costs and stronger campaign outcomes.
DOJO AI on April 22 announced a $6 million seed round at a $30 million valuation. Armilar led the round with participation from Heartfelt VC. According to the company, the funding will expand its multi-agent AI capabilities and accelerate growth in the United States.
The startup, founded in August 2024 by Duarte Garrido and António 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.
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 — an approach the company said compounds intelligence over time.
Table of Contents
- Marketers Should Aim for Intelligence
- Agentic Marketing vs. AI Marketing Tools
- DOJO Platform Capabilities
- Recent DOJO AI News
- Agentic AI Reshapes Marketing Operations
- DOJO AI Background
Marketers Should Aim for Intelligence
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 — leaving teams spending half their time stitching together reports and making decisions based on stale data.
"The ceiling on what a marketing team could achieve was never budget," they wrote. "It was intelligence."
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.
Alegria built data and AI architecture at Feedzai and OutSystems — both of which scaled to unicorn valuations with Armilar's backing — 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.
Agentic Marketing vs. AI Marketing Tools
The company distinguishes what it calls "agentic marketing" from conventional AI marketing tools, which it characterizes as reactive — 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.
"Most AI resets," the co-founders wrote. "DOJO compounds."
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.
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.
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.
- Pedro Ribeiro Santos, managing partner
Armilar
DOJO Platform Capabilities
| Capability | Description |
|---|---|
| Multi-agent AI system | AI agents that execute marketing workflows autonomously |
| DOJO Graph | Knowledge graph with a continuously updated marketing data model |
| Cross-channel orchestration | Workflows spanning paid, organic, SEO and content channels |
| Continuous data capture | Real-time ingestion of campaign, competitor and customer signals |
| Compounding intelligence | Outcomes feed back into the system to refine future actions |
Recent DOJO AI News
The April round represents a sixfold valuation increase from the startup's prior raise in under a year. DOJO AI first emerged in June 2025, when it secured $1 million in pre-seed funding from Angel Ways, Heartfelt, Unicorn Factory Lisboa and COREangels to build an AI marketing operating system for challenger brands.
The new capital, sized at $5.9 million locally, is earmarked for U.S. expansion and will scale a system that unifies marketing data and deploys agentic workflows across channels.
Agentic AI Reshapes Marketing Operations
Agentic marketing is replacing rules-based decisioning in the martech stack with goal-oriented systems that reason, act and learn autonomously — creating both opportunity and new governance demands for marketing operations leaders.
As adaptive agents displace hard-coded logic, marketing teams must rethink how workflows, data and accountability intersect across the customer journey.
From Rules Engines to Autonomous Orchestration
Legacy automation lacked learning capacity, limiting real-time decisioning. Predictive analytics advanced the field but stopped short of workflow integration. Agentic AI closes that gap by embedding goal-oriented, adaptive decisions directly in the stack.
Multi-agent orchestration extends this further. Agentic systems can reason and act independently, managing complex workflows without constant human oversight — a meaningful shift for teams running parallel paid, organic, SEO and content programs.
Martech Stack Implications
Agentic AI alters every major system in the marketing technology stack:
- Marketing automation: Requires new triggers detecting AI-mediated research, not just email sequences or page visits.
- CRM: Loses visibility into AI-driven evaluation outside trackable channels, creating intelligence gaps.
- Analytics and attribution: Must evolve beyond touchpoint models to include AI-related metrics such as citation frequency.
- Content and SEO: Content must perform well in AI summaries while remaining persuasive for direct human engagement.
Governance & Accountability
AI accountability is becoming a global requirement, with high-profile failures triggering new safety, auditability and liability frameworks. Marketers are being advised to rethink governance structures before accelerating automation.
Webinar
Apr
27
Where Contact Center AI Is Actually Headed
A straight read on where the contact center platform market is going and what it means for your next technology decision.
Register
Webinar
May
12
How Marketing Teams Can Take Control of the Web Experience
See how Veo and Kvalifik put marketing in the driver's seat, shipping faster and growing qualified bookings by 150%.
Register
Webinar
May
14
Two Audiences, One WordPress. Is Yours Ready?
The practical steps to making your WordPress portfolio ready for both human visitors and AI agents.
Register
Webinar
May
19
From Content Sprawl to Competitive Advantage: A Knowledge Operations Roadmap
How automation, AI and a centralized content platform turn knowledge fragmentation into a scalable competitive advantage.
Register
Webinar
May
20
From AI Investment to CX Results: What Enterprise Leaders Need to Know
Move beyond experiments. See how top enterprises scale AI for CX results.
Register
Webinar
On demand
Why Your AI Media Stack Is Leaking Revenue — And What Fixes It
Stop layering AI on a broken foundation and start building the operating model that makes every media investment compound.
Watch Now
DOJO AI Background
Founded in August 2024, DOJO AI targets marketing leaders at high-growth startups and mid-market enterprises. The platform centralizes multi-channel marketing analytics within an integrated intelligence layer and automates workflows with AI-driven agents. Users reported improved campaign performance, faster reporting and reduced acquisition costs.
Have a tip to share with our editorial team? Drop us a line: