Olyzon

• Turning a client brief such as reaching sports-affinity adults on CTV in Q3 into a ranked, priced plan across Amazon DSP, DV360, The Trade Desk, YouTube, and Roku
• Activating one plan across several DSP seats, direct deals, and sellers who still book by insertion order and email
• Shifting budget away from a placement that is under-delivering or over its frequency cap while the campaign is still live, within a daily cap and approval threshold
• Giving a brand client one live report across all sellers, with brand-lift and sales-attribution partner data next to delivery
• Letting a small in-house brand team run CTV buying across several platforms without adding traders
• Embedding planning and optimization in an agency's own client-facing platform, or connecting an internal agent to Olyzon over MCP

Olyzon is one of the more concrete examples of agentic media buying because it spells out how control works: per-campaign approval modes, caps and thresholds, a log that ties each move to its trigger, restore points, and an email agent that hands negotiations back to a person. Its other strength is that it works on top of the stack: it keeps your seats, deals, and measurement partners, and reaches sellers with no API by email or browser. That makes it most useful for agencies and brands that already juggle several CTV and video platforms and spend much of their time trafficking, reconciling, and reporting. The tradeoffs are the usual ones for an enterprise launch. There is no public pricing, documentation, or self-serve access, results evidence is limited to vendor-selected testimonials, and the agent's proposals depend on how much campaign history and measurement data you bring. Run one campaign in a manual approval mode first and compare its proposals with what your traders would have done before you widen the rules.

About Olyzon

Olyzon sits on top of a media buyer's existing stack rather than replacing it. It owns no inventory or media, and runs on your own DSP seats or on Olyzon's. The workflow is one loop. You describe an objective, a country, and a KPI in plain language, and the planner agent ranks programs, channels, deals, and sellers by fit, using content, audience, outcome, and price signals plus what delivered in your past campaigns, and prices each placement from the rate cards and deals in your workspace. The trader agent turns the approved plan into line items in each platform's own structure and activates it through API or MCP connections, through a browser agent for platforms with no API, or through an email agent that sends insertion-order bookings and chases confirmations. As delivery comes in, the agents propose budget moves with their reasoning, three options (Conservative, Balanced, Aggressive), and a confidence score, and the analyst agent joins delivery to your measurement partners' sales, brand lift, and reach data in one live report you can share with a client by link. The control model is the main thing to evaluate. Per campaign you choose to approve every move, let the agent act automatically below thresholds you set, or switch on autopilot. Every change is logged with the signal that caused it, and every campaign state is a restore point. What the agent learns from your campaigns stays in your workspace. Olyzon also scores contexts with Resonance, its own index of how well a TV program fits a brand and objective, shown next to impressions, reach, and VTR. Olyzon launched the platform fully on October 7, 2026, at Advertising Week New York. Access is through a demo and onboarding with a named Olyzon lead and a forward-deployed team. You can also have Olyzon's own team run campaigns in your workspace. Pricing is not published: Olyzon says it is paid for the platform and for any campaigns its team runs. There is no public documentation, and no self-serve sign-up.