AI-Native Martech Is Becoming Infrastructure, Not Experiment
AI-powered marketing automation funding refers to capital flowing into software platforms that use machine learning to automate and optimise customer engagement, from personalising messages and improving e-commerce visibility to running influencer campaigns with minimal human intervention across channels and markets.
The headline in this funding wave is simple: AI-native marketing tools are no longer side projects; they are becoming core infrastructure for growth teams. Three young platforms across customer engagement personalisation, e-commerce visibility software and influencer campaign automation have together secured about €12 million equivalent in new capital, signalling clear investor belief that marketing operations will be run by continuously learning systems rather than static campaigns. This is not about another dashboard; it is about replacing manual workflows with AI agents that make decisions every day, at scale, in the background.
Zelara: From Static Journeys to Continuous Learning
For years, brands have piled money into CRM tools yet stayed stuck in rigid journeys, broad segments and rules that cannot keep up with changing behaviour. Zelara’s €3 million pre-seed round is a bet that this model is broken and that AI-first customer engagement personalisation will win instead. Its learning system sits on top of existing stacks and decides, in real time, which message, channel and timing best fits each individual customer while marketers keep control over objectives and constraints.
This is a decisive shift from campaign-centric thinking to interaction-centric optimisation. Every click, open and purchase becomes feedback that the system feeds back into future decisions, compounding gains across activation, retention, reactivation and lifetime value. One leading neobank saw customer reactivation jump by 66 percent without changing its CRM, a clear sign that smarter decisioning can outperform expensive rebuilds. In short, Zelara is betting that continuous learning, not more rules, is the future of lifecycle marketing.
Serpier: Owning Discovery in Search and AI Chatbots
If Zelara is fighting churn, Serpier is going after discovery. As shoppers turn to both search engines and AI chatbots like ChatGPT and Gemini for recommendations, being visible in one channel is no longer enough. Serpier’s €1.4 million raise backs its thesis that e-commerce visibility software must now optimise for Google and conversational AI surfaces at the same time.
Its first AI agent, Navi, already runs end-to-end visibility optimisation: it finds gaps in a retailer’s online presence, creates the content to fill them and publishes it. The next step is bolder. Serpier plans for Navi to build landing pages, run campaigns and automate more marketing workflows, turning its product into an AI-powered marketing workspace where autonomous agents handle analysis, content and advertising while humans decide direction. One notable data point sums up why investors care: the company says it generated more than €2.5 million in revenue in its first financial year and reached profitability, showing that fully automated visibility is not a science project but a working business.

Hypefy AI: Automating the Influencer Assembly Line
Influencer marketing may look modern, but its operations remain stuck in spreadsheets. As budgets grow, brands and agencies still handle creator discovery, outreach, negotiation and reporting with a patchwork of tools and manual effort. Hypefy AI’s $7.2 million (approx. RM33.2 million) Series A is a clear signal that this inefficiency is no longer acceptable.
The platform automates end-to-end influencer campaign execution: from finding creators and managing pricing, onboarding and contracts to content review, performance tracking, reporting and payments. Brands write briefs, set budgets and keep control over approvals, while AI handles the repeatable operational work across multiple markets. That model has already attracted brands such as NIVEA, Unilever, ABOUT YOU, Philips, PepsiCo, McDonald's and Samsung, and supported thousands of campaigns across 43 countries with more than 700 million impressions. The new capital will fuel product development and international expansion, with the company openly aiming to build “category-defining technology in fully managed creator marketing.”

One Funding Wave, Three Signals About Marketing’s Future
Taken together, Zelara’s €3 million pre-seed, Serpier’s €1.4 million round and Hypefy AI’s $7.2 million (approx. RM33.2 million) Series A show a clear pattern: investors are backing AI to automate the full funnel, from retention and reactivation to discovery and influencer-led reach. This is not a single niche; it is a coordinated move across lifecycle marketing, e-commerce visibility and creator campaigns.
The bet is that marketing teams will soon resemble air-traffic control: people set goals, guardrails and strategy; AI systems run constant, high-frequency decisions in the background. Those who cling to static journeys, manual SEO and spreadsheet-driven influencer workflows will be outpaced by competitors whose tools learn from every interaction. The conclusion is blunt but useful: if your marketing stack does not yet treat AI agents as everyday operators, not experiments, these funding rounds are a warning shot. The race is on to turn customer engagement personalisation, discovery and influencer campaign automation into always-on, AI-managed systems.






