AI Startups Secure $198 Million for Agentic Commerce
Azoma, Opply, and Profound raised new capital to enhance AI-driven marketing and supply chain tools for CPG brands.
Updated on Oct. 26, 2026 in Artificial Intelligence

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Three artificial intelligence startups have raised a combined $198.7 million to advance tools that shift product discovery and purchasing tasks to AI assistants. These platforms focus on automating marketing, procurement, and supply chain management for consumer packaged goods companies.
Why it matters
The investment underscores a growing corporate push to transition retail interactions toward agentic commerce. Businesses are betting that AI-managed shopping assistants will capture significant market share as they replace traditional consumer search methods.
Profound raised $180 million, while Azoma and Opply secured $11.2 million and $7.5 million respectively. These platforms facilitate automated procurement and AI-powered search, with industry projections estimating the sector could reach $3 trillion to $5 trillion in sales by 2030.
The players
Azoma
A London-based AI company that rebranded from Ecomtent and focuses on optimizing marketing for shopping assistants.
Opply
A London-based startup founded in 2021 that specializes in AI-driven procurement and supply chain financing.
Profound
A New York City-based startup established in 2024 that utilizes applied AI labs in San Francisco.
The details
Azoma adapts marketing strategies for AI assistants, while Opply streamlines supply chain operations and procurement. Profound is utilizing its new capital to scale its AI platform, which aims to handle complex purchasing decisions previously managed by human teams.
Timeline
Opply was founded in 2021.
Azoma was founded as Ecomtent in 2022.
Profound was founded in 2024.
Ecomtent rebranded as Azoma in 2025.
Profound raised $180 million in September 2026.
The Tech Race
The recent funding surge follows the growth trajectory outlined by the McKinsey agentic commerce sales projection. These startups are competing to define the infrastructure for a shift where AI agents, rather than human shoppers, manage the bulk of consumer procurement.
Consumers may find that AI assistants increasingly manage their product discovery, leading to more personalized shopping and purchasing experiences. As these tools integrate with major brands, users could see more streamlined procurement processes similar to the transaction efficiency seen in existing AI tools.
The takeaway
The rise of agentic commerce suggests that AI will soon act as a primary interface for retail transactions rather than just a search tool. Shoppers should prepare for more automated purchasing recommendations as these systems continue to scale.
Further reading
For more on industry shifts, visit the Artificial Intelligence section.
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