Dappier

Small Language Models Target AdTech Workflows

ZeroGPU announced a suite of specialized small language models (SLMs) for ad tech, positioning them as cheaper, faster alternatives to large language models (LLMs) for repetitive marketing and publisher workflows such as content classification, intent detection and moderation. The company says its SLMs run on CPUs (and can run in browsers), have OpenAI-compatible endpoints to ease integration, and are trained on task-specific data sets with fewer than 10 billion parameters. Dappier, an AI monetization company, has adopted three ZeroGPU models for content classification, intent classification and moderation and reports a roughly 50% reduction in expenses. ZeroGPU emphasizes speed and lower hallucination risk for taxonomy-specific tasks (e.g., IAB content categories), claiming sub-50 millisecond responses for certain workloads versus much higher latency from frontier LLMs.

PubMatic Expands Agentic AI Beyond Direct Deals

PubMatic said on its Q1 2026 earnings call that its AgenticOS platform has run more than 30 fully autonomous end-to-end agentic campaigns, in addition to over 1,000 direct publisher deals. The company reported Q1 revenue of $62.6 million, a 13% year‑over‑year increase, and said agentic-enabled deals helped drive an 80% YoY rise in its emerging revenue category, which now represents 14% of total revenue. PubMatic highlighted performance gains from AgenticOS (buyers seeing 30–40% CPM improvements and the ability to buy more inventory), expanded mobile and CTV growth, integrations with major mobile mediation platforms and an Amazon DSP integration that raised publisher CPMs. Management flagged near-term headwinds from a major DSP pullback (attributed to The Trade Desk), a projected Q2 revenue decline, and upcoming executive departures in growth/CRO roles.

Dappier Launches 'Sponsored Conversations' for Publisher Chatbots

Ad monetization platform Dappier announced a new ad format, Sponsored Conversations, which lets advertisers insert custom brand agents into AI chat sessions on publisher sites. The format launches programmatically: the sponsored prompt appears when an advertiser wins the programmatic auction for a banner slot and, if clicked, starts a conversation with a brand-trained agent. Early adopters include baby-monitor brand Miku and publisher Lilly Broadcasting, which report higher engagement and qualified leads. Dappier positions the product as a publisher-friendly monetization option that integrates with existing ad stacks and limits the publisher agent’s knowledge to site content unless augmented with third-party data.