Nexxen Unveils AI-Native DSP UI and nexAI Assistant Upgrades

The advertising technology firm Nexxen has rolled out a redesigned demand-side platform interface built around artificial intelligence, paired with significant upgrades to its nexAI DSP Assistant. The announcement, made through the company's investor relations channel, signals a shift toward embedding AI directly into campaign workflows rather than treating it as a separate analytical layer.

According to the official press release from Nexxen, the new AI-native UI is designed to streamline campaign management while reducing the training burden on new users. The interface lays groundwork for future innovation integration, though the immediate focus is on operational efficiency and faster campaign launches.

The nexAI DSP Assistant is expanding its scope considerably. Previously limited to mid- and post-campaign reporting and analytics, the assistant now handles pre-campaign setup and quality assurance checks. This means automatic misconfiguration detection before campaigns go live—a feature that should reduce the late-night scramble to fix broken targeting parameters (a problem that has plagued media buyers for years, frankly).

Additional capabilities include deal troubleshooting and diagnostics to identify delivery issues quickly, plus mid-campaign optimization through natively embedded insights. The assistant provides built-in recommendations for campaigns already in flight, surfacing actionable adjustments rather than just reporting metrics.

What distinguishes this approach from competitors is the emphasis on human control. Nexxen executives explicitly positioned the technology as "people-first," pushing back against fully autonomous AI tools that remove planners and traders from decision loops. The assistant remains autonomous only to the extent users choose, maintaining transparency into all campaign adjustments.

Joey D'Alesio, Manager of Platform Partnerships at Division-D, noted the assistant connects live campaign data with Nexxen's knowledge base in ways that are actually actionable. His team is already seeing value across the campaign lifecycle—from feasibility questions during pre-campaign planning to optimization opportunities mid-flight to post-campaign analysis acceleration.

The physical reality of using this platform matters. Traders interact with a unified interface where AI recommendations appear alongside traditional campaign controls, rather than requiring context switches to separate analytics dashboards. This reduces the cognitive load of juggling multiple tabs and reconciling data from different sources.

Looking ahead, Nexxen outlined forthcoming product development on the nexAI DSP Assistant. An optimization recommendation agent will drive stronger campaign performance through adjustments to bids, budgets, audiences, and supply. An audience discovery agent will create segments leveraging Nexxen Discovery and the company's data marketplace.

Advanced data integrations with Nexxen Discovery and the supply-side platform will apply holistic signals at every stage of campaign planning and activation. Open connections to third-party APIs will allow onboarding of external data valuable for planning, performance, measurement, and optimization.

Separately, Nexxen highlighted full-funnel performance capabilities within its DSP, as documented on the company's product page. The platform combines optimization, measurement, and reporting tools to help advertisers maximize outcomes while reducing manual in-flight work.

Kara Puccinelli, Chief Customer Officer at Nexxen, addressed the attribution challenge in fragmented media environments. She noted that connecting TV exposure to downstream actions is rarely straightforward, particularly when viewing occurs in a CTV environment and conversion happens later on another device.

Justin Manus, Chief Technology Officer at Tinuiti, emphasized that attribution modelling only goes so far in understanding return on investment. Nexxen DSP's incrementality feature gives clients clearer performance understanding, allowing focus on spending toward audiences that drive actual outcomes.

The company's philosophy on data quality is explicit. Nexxen executives stated that deterministic, high-fidelity signals—like real behavioral data in Nexxen Discovery, transaction-level insights, and exposure data tied to outcomes in the Nexxen Data Platform—consistently outperform large but noisy datasets. AI models trained on weak or proxy signals simply optimize faster toward the wrong outcomes.

Nexxen, headquartered in Israel and traded on Nasdaq under the ticker NEXN, maintains offices throughout North America, Europe, and Asia-Pacific. The company operates both a demand-side platform and supply-side platform, with the Nexxen Data Platform at its core.

Whether agencies actually adopt this hybrid model of AI assistance with human oversight remains the real question. The market has shown mixed appetite for tools that promise efficiency while demanding continued human involvement. Some buyers want full automation; others want control. Nexxen is betting on the latter, but adoption will depend on whether the time savings justify the learning curve.

Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn