Manta is a primary example of an agentic application layer that replaces traditional human-in-the-loop workflows with autonomous reasoning. They are active at the top of the agent stack, focusing on the orchestration of complex business processes like capital allocation and creative production. Their relevance to the ecosystem lies in their move away from "chat-based" AI toward "action-based" systems that connect directly to enterprise APIs to perform high-stakes commercial tasks.
For builders in the agent space, Manta provides a blueprint for verticalized AI agents that solve the "last mile" problem of automation. They are championing the idea that for an agent to be truly useful to an enterprise, it must have the authority to act on data—such as moving actual dollars between ad platforms—rather than just summarizing it. Their work with Marketer.com demonstrates how agentic reasoning can be scaled to manage hundreds of millions in spend, proving that the "Reasoning Layer" is a viable architectural pattern for the next generation of enterprise software.
Manta enters the market with a specific critique of the current AI wave: most companies have bought copilots, but humans are still doing the work. The company builds what it calls a reasoning engine, designed to sit atop an organization's existing data stack and act as an autonomous growth department. Instead of generating a list of suggestions for a human to review, Manta is built to decide, execute, and document commercial moves across ad platforms, stores, and CRMs. This approach moves the goalpost from AI as a productivity tool to AI as an operational system.
Founded by Amir F. Habhab, who carries a background in semantic technologies, Manta is headquartered in New Zealand but operates globally. The technical foundation relies on unifying disparate signals—from pixel data and inventory levels to customer lifetime value—into a single live picture. By treating a business as a series of electrical signals to be processed, the Manta engine identifies where margin is hiding and reallocates budget or creative assets without human intervention.
The company has proven its model most visibly in the ecommerce sector through its subsidiary, Marketer.com. This implementation acts as an AI operating system for growth, currently used by over 1,500 brands. It manages the entire lifecycle of an ad campaign, from briefing and generating creative variants through its "Ember" engine to real-time budget shifting between Meta and Google ad sets. The system is one of the top 1% global Meta advertisers, a scale that suggests its reasoning engine handles complexity better than traditional manual management.
Beyond ecommerce, Manta is expanding into real estate and hospitality. In real estate, the platform focuses on zero-latency lead qualification and routing, ensuring that prospects are vetted and assigned before they lose interest. In hospitality, the engine unifies booking and guest data to fill "weak dates" by shifting media spend autonomously, reducing the reliance on third-party online travel agencies that eat into margins. In each case, the engine follows the same logic: ingest the data, reason on the economics, and execute the trade.
The primary differentiator for Manta is its insistence on a unified stack. Most brands suffer from data fragmentation—creative lives in one tool, execution in another, and attribution in a third. Manta’s bet is that marketing only compounds when these functions are connected. This enables the system to perform complex tasks, such as pausing a brand campaign the moment it drops below a ROAS floor or killing an ad set because the specific creative angle has reached fatigue. This level of granular, 24/7 management is functionally impossible for human-led agencies to match at scale. By replacing the manual labor of media buying and creative testing with an agentic reasoning layer, Manta aims to decouple business growth from headcount growth.
An AI that doesn't just think, it runs your growth.
Manta is hiring.