Operative partners with GraySwan to embed AI-driven observability into its platforms, enabling media companies to identify revenue opportunities and optimise performance across multiple digital channels in real time.
Operative has teamed up with GraySwan to layer autonomous AI monitoring and visual analytics onto its AOS and STAQ revenue-management suites, in a move the vendors say will sharpen media companies’ operational visibility across linear, streaming and digit...
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al channels.
According to a company announcement distributed via GlobeNewswire and reported by industry outlets, the integration embeds GraySwan’s agentic observability into Operative’s platforms so publishers and broadcasters can spot revenue opportunities, pre-empt delivery or pricing problems, and produce cross-platform forecasts and optimisation recommendations in near real time. Operative framed the collaboration as delivering actionable intelligence directly inside existing workflows rather than leaving teams to assemble reports manually.
“Media companies need flexible, unified insights to drive their converged linear, streaming and digital businesses. Being at the forefront of Linear Streaming, Operative partnered with GraySwan to bring our customers AI-driven observability, so they have insights that make business intelligence accessible, immediate, and integrated into workflows,” said Nick Thor, Head of AI at Operative.
GraySwan’s technology operates as a continuously running layer that evaluates signals across supply, demand, pricing and delivery, the company’s website and the announcement state. Its platform is designed to detect anomalies such as pacing deviations, bid drops or latency spikes, trigger alerts, and surface automated recommendations; GraySwan markets these capabilities for high-volume connected-TV publishers through tools including its Wingman enterprise command centre.
“Media is now a data-driven business, and power comes from turning that data into action,” said GraySwan Founder and CEO Zeev Neumeier. “Rather than spending hours pulling reports or missing real-time signals, Operative customers can continuously observe what’s happening across their businesses, surface new revenue opportunities, and optimize performance automatically.”
Operative positions the enhancement as complementary to AOS’s existing remit of unifying inventory, orders, billing and planning across channels and embedding intelligence into sales and operations. Company materials suggest the GraySwan layer will be accessed by asking business questions in natural language and receiving immediate, visual answers that identify incremental yield, flag risks and recommend price or inventory adjustments.
Industry commentary around the deal highlights a broader trend: media operators are increasingly seeking automated analytics that translate large transaction volumes into operational decisions without heavy manual intervention. Operative’s own product literature and ROI analyses emphasise time savings and revenue uplift from centralising data and automating workflows; adding an external observability service is intended to accelerate that value by surfacing anomalies and optimisation levers at enterprise scale.
The vendors stress the solution is aimed at converged advertising environments where linear and streaming inventory must be planned and priced together. GraySwan’s focus on connected-TV signals and its agentic approach are presented as a fit for publishers wrestling with billions of ad transactions and the brittle performance behaviours those volumes can mask.
Both companies described the offering in promotional materials; as such, editorial distance is warranted when evaluating claimed outcomes. Customers will need to validate in practice whether the continuous monitoring and AI-generated recommendations translate into sustained revenue gains and reduced operational friction across the diverse systems most media companies still run.
Source: Noah Wire Services
