DaVinci Commerce, formerly known as Jivox, is betting that the next phase of commerce marketing won’t be managed by dashboards and manual workflows—but by AI agents operating at enterprise scale. The company announced a new strategic round of financing to accelerate growth of its AI-native DaVinci Commerce platform, as global brands and commerce media networks increasingly adopt agentic AI to manage the complexity of modern retail advertising.

The funding arrives at a moment when commerce media is booming but operationally strained. Brands are pouring budgets into retail media networks, yet many struggle to execute campaigns fast enough, across enough retailers, with the compliance and measurement rigor large enterprises require. DaVinci Commerce positions itself squarely at that pressure point.

From Jivox to DaVinci: A Strategic Reset Around Agentic AI

The rebrand from Jivox to DaVinci Commerce is more than cosmetic. It reflects a strategic shift toward what the company calls agentic commerce marketing—AI systems capable of autonomously executing multi-step marketing workflows that once demanded extensive human coordination.

Originally launched in August 2023, the platform was built from the ground up to be AI-native. Rather than layering AI onto legacy ad tech, DaVinci Commerce integrates content generation, optimization, media activation, and measurement into a single system designed for scale, speed, and enterprise control.

That positioning appears to be resonating. DaVinci Commerce was recently named a Top 50 Innovation at the 2026 National Retail Federation (NRF) Innovators Showcase, signaling early industry validation for its approach to agentic AI in commerce marketing.

Why Commerce Media Needs Agents, Not More Tools

Commerce media is now one of the fastest-growing segments in digital advertising. According to eMarketer’s May 2025 forecast, U.S. commerce media ad spend is expected to grow at a 15.3% CAGR from 2025 to 2029. But growth alone isn’t the problem brands are trying to solve.

The real friction lies in execution.

Retail media campaigns must be launched quickly, localized across retailers, customized by audience and product availability, and governed by brand, legal, and retailer-specific rules. Add in closed-loop measurement expectations and the convergence with programmatic buying, and the operational burden becomes enormous.

DaVinci Commerce was designed to operate at this intersection—where commerce media, programmatic advertising, and AI-driven automation collide.

“Commerce media growth is no longer limited by media spend but constrained by the ability to handle speedy launches, multi-retailer complexity, and compliance,” said Diaz Nesamoney, Founder and CEO of DaVinci Commerce. “We built the platform from the ground up to be AI-native.”

What DaVinci Commerce Actually Does

At its core, DaVinci Commerce enables brands to operationalize agentic AI across commerce marketing through two primary capabilities.

Commerce Content Optimization uses AI to generate, adapt, and deliver commerce ads and content across programmatic environments. The goal is to enable deep personalization—creative tailored to shopper context and intent—without sacrificing scale or brand consistency.

Commerce Media Activation automates campaign launches across commerce media networks in under five minutes. That speed is critical in a retail environment where promotions, inventory, and consumer demand shift rapidly. Importantly, the platform enforces enterprise-grade guardrails, ensuring brand safety, legal compliance, and retailer rules are respected even as automation increases.

Together, these capabilities aim to reduce the cost and complexity of running commerce campaigns while improving performance through personalization and faster time-to-market.

Beyond Ads: Agentic Shopping Experiences

DaVinci Commerce is also pushing beyond traditional ad execution into AI-driven shopping experiences. Instead of directing users to crowded product landing pages, the platform supports agentic shopping flows where consumers engage with AI-powered shopping agents.

These agents guide discovery, surface relevant product options, and help shoppers evaluate choices in real time. The result is a more conversational, intent-driven path to purchase—one that links ad exposure directly to verified transactions and incremental sales measurement.

This approach aligns closely with broader shifts toward LLM-driven conversational commerce, where discovery increasingly happens through AI interfaces rather than static search results or category pages.

A Notable Investor and Board Lineup

The strategic funding round is backed by a group of investors and executives with deep roots in AI, enterprise software, and commerce.

Saama Capital, a Silicon Valley firm focused on AI and commerce technologies, led the round. Its founder and managing partner, Ash Lilani, has joined DaVinci Commerce’s board.

The investor roster also includes Amit Singhal, former Senior Vice President and Google Fellow who led Google’s core search team for over 15 years; Sohaib Abbasi, former CEO and Chairman of Informatica and an early Oracle executive; and Cosmos Nicolau, a senior engineering leader with experience at Google, Akamai, GRAIL Bio, and Neeva.

The board has also expanded to include Jerry Porter, recently Chief Research and Innovation Officer at Procter & Gamble Fabric & Homecare, alongside existing members Greg Archibald of PayPal and Robert Chatwani, President of DocuSign and former CMO at Atlassian and eBay North America.

For a company operating at the intersection of AI, commerce, and enterprise marketing, the lineup adds both credibility and strategic depth.

Why CPG and Retail Brands Are Paying Attention

Consumer packaged goods brands, in particular, are under pressure to make better use of first-party data as signal loss reshapes digital advertising. Commerce media offers a rare combination of scale and deterministic purchase data—but only if brands can activate it effectively.

“Prior to commerce media and LLM-powered agentic commerce, brands were often flying blind,” said Jerry Porter. “DaVinci Commerce makes it easy for brands to connect exposure, discovery, and purchase.”

That promise—closed-loop visibility paired with personalized engagement—is what many CPG and retail marketers have been chasing for years.

The Bigger Picture: Agentic AI Comes to MarTech

DaVinci Commerce’s timing is notable. Enterprises across marketing and commerce are moving beyond generative AI experiments toward agentic systems that can execute, optimize, and learn with limited human intervention.

In that sense, DaVinci Commerce isn’t just competing with retail media tools—it’s positioning itself as infrastructure for the next phase of commerce marketing, where AI agents work alongside human teams to accelerate execution without sacrificing trust or control.

As agentic AI moves from concept to deployment, platforms that can balance automation with enterprise governance are likely to define the category. This funding round suggests DaVinci Commerce intends to be one of them.

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