- $17 million in funding raised by Olyzon, including a $10 million Series A round.
- 40+ major brands using the platform, including IKEA, LVMH, DoorDash, and Mastercard.
- Hundreds of CTV campaigns already processed by the platform.
Experts would likely conclude that Olyzon's AI-driven orchestration platform represents a significant step toward solving the fragmentation challenges in TV advertising, though its success will depend on robust guardrails against AI errors and seamless integration with existing systems.
AI Agents Take the Wheel: Olyzon's Bid to Fix TV Advertising
NEW YORK, NY – October 07, 2026 — The modern advertising landscape is suffering from a severe case of fragmentation, and nowhere is this pain more acute than in Connected TV (CTV). Every streaming platform, console, and publisher has its own walled garden, its own path to the same viewer, and its own disparate reporting system. For media buyers, moving budgets between these fragmented ecosystems by hand is a slow, manual, and increasingly costly endeavor.
Today, at Advertising Week New York, Paris-based ad tech firm Olyzon announced the full launch of its agentic orchestration platform, aiming to fundamentally rewire how media is bought and managed. By deploying autonomous AI agents to act as an orchestration middleware, Olyzon is attempting to bridge the gap between disjointed demand-side platforms (DSPs), supply-side platforms (SSPs), and measurement tools.
Starting with CTV and expanding across YouTube, digital audio, social, and digital out-of-home (DOOH), the platform represents a significant shift in programmatic advertising. It asks a critical question for the future of the industry: What happens when artificial intelligence takes over the execution, and humans are left strictly with the strategy?
The Rise of Agentic Middleware
For years, human media planners have served as the integration layer for the advertising industry. Buyers spend countless hours bouncing between consoles—from Amazon DSP to The Trade Desk to Google's DV360—digging through spreadsheets to manually adjust bids, reallocate budgets, and pull reporting metrics.
Olyzon's approach is to sit entirely above this existing tech stack. The platform does not require agencies to rip out their current infrastructure or abandon their direct deals. Instead, it connects to the buying stack through open protocols, APIs, and the Model Context Protocol (MCP). For older, manual workflows like direct insertion orders (IOs), Olyzon even deploys an "email agent" that ingests and orchestrates the buy alongside programmatic channels, leaving the final send button in the hands of the human buyer.
"Olyzon sits above the platforms you already run," said Jules Minvielle, co-founder and CEO of Olyzon. "The technology connects the systems that never spoke to each other, and turns a brief into a live buy you can correct while it is still in flight. We start with CTV because that is where the fragmentation hurts most, and the same agents extend across the rest of the plan. The agent does the orchestration. The human keeps the decision."
This architecture allows a brand to plan at the program level, deciding where it appears across CTV and other channels simultaneously. Activation then runs across all platforms at once, respecting the constraints, upfront commitments, and DSP allocations set by the buyer.
Unpacking the 'Unified Media Platform'
The industry is beginning to coalesce around a term for this emerging category: the Unified Media Platform (UMP). Rather than acting as another DSP competing for ad dollars, a UMP functions as a continuous plan, activate, and measure loop that sits on top of the ecosystem.
Investors are clearly seeing the financial viability of this neutral, orchestration-layer approach. Since its founding, Olyzon has quietly amassed $17 million in funding, recently closing a $10 million Series A round led by S4S Ventures—the investment firm co-founded by industry veteran Sir Martin Sorrell. The platform has already processed hundreds of CTV campaigns and boasts a client roster of over 40 major brands, including IKEA, LVMH, DoorDash, and Mastercard.
The value proposition relies heavily on the breadth of its connections. Olyzon is already live across major DSPs, SSPs like PubMatic and Universal Ads, and verification partners.
"Premium TV has never had a supply problem, but buyers lacked a simple and direct way to access it," noted Adam Royle, Head of Strategic Partnerships at Universal Ads. "With Olyzon, a planner can put TV buying alongside the rest of their media buys."
Arthur Querou, CEO of Vibe, echoed this sentiment regarding the necessity of seamless plumbing. "Olyzon sits above the buy and orchestrates through us, so a planner reaches the inventory we activate without leaving their workflow. Agents are only as useful as the pipes they can act through."
Level 1 vs. Level 2: Reshaping the Agency Workforce
Beyond the technological implications, the rise of agentic advertising is poised to dramatically reshape the agency workforce. For decades, the media buying industry has been built on the backs of junior planners executing repetitive, low-level optimization tasks.
By offloading this manual labor to prompt-driven AI, agencies are rethinking how they deploy human capital. Industry leaders refer to this as the shift from "Level 1" to "Level 2" work.
"Olyzon's orchestration agent changes where our planners and buyers spend their time," explained Ian Orekondy, Head of Media, Analytics & Innovation at Method1. "The agent now handles Level 1 optimizations—implementing cross-platform budgets, bids and bundle ID decisions—freeing our teams to focus on Level 2 work like creative enhancement, beta testing and high-impact sponsorships that require collaboration across publishers, partners, creatives and clients."
This sentiment is shared across the buy-side. David Nyurenberg, SVP of Digital at InterMedia Advertising, highlighted the sheer speed of execution. "We used to spend a ridiculous amount of time bouncing between platforms, digging through spreadsheets for insights, and then manually acting on them. With Olyzon, we can get to those insights in seconds and action them across platforms through a single prompt. Now the distance between seeing something and doing something is dramatically shorter."
Guardrails in the Age of AI Hallucinations
Despite the enthusiasm, handing the keys of multi-million dollar ad budgets over to artificial intelligence carries inherent risks. In the broader tech sector, raw AI agents operating in production environments have been known to fail between 70% and 95% of the time due to compounding errors, tool breakdowns, and hallucinations. A rogue AI misallocating a massive brand budget could be catastrophic.
To mitigate this, Olyzon has designed its platform with strict "human-in-the-loop" guardrails. The AI operates strictly within the financial caps and approval thresholds set by the human buyer. Furthermore, the platform maintains a full, transparent audit log, allowing buyers to reclaim manual control at any given moment.
Crucially, Olyzon's agents do not grade their own homework. The platform relies on deep integrations with independent measurement and verification partners like Innovid and DoubleVerify to feed trusted signals back into the AI's decisioning loop. This prevents the AI from optimizing toward vanity metrics or fraudulent inventory.
"Agentic optimization is only as effective as the signals guiding it," said Todd Randak, General Manager of CTV at DoubleVerify. "By bringing DV's verified media quality and performance data into Olyzon's decisioning loop, the agent can generate recommendations grounded in trusted signals, while keeping the buyer in control of execution. That's how automation can drive smarter decisions with greater transparency and confidence."
As the advertising ecosystem continues to fragment, the sheer volume of data and platforms will inevitably surpass human processing capacity. Olyzon's launch signals a broader economic shift where AI middleware transitions from a futuristic concept to a daily operational necessity, fundamentally altering the speed, transparency, and labor economics of modern media buying.
Topics & Related
Software & SaaS
AI & Machine Learning
📝 This article is still being updated
Are you a relevant expert who could contribute your opinion or insights to this article? We'd love to hear from you. We will give you full credit for your contribution.
Contribute Your Expertise →