StackAdapt has launched Ivy Studio, an artificial intelligence hub within its advertising platform, aimed at marketers who want to set outcomes rather than work through software processes.
Built into the existing platform, Ivy Studio uses AI agents based on StackAdapt's advertising data and internal systems. The agents are designed to surface insights, recommend next steps and help users carry out campaign tasks.
Marketing software companies have increasingly added AI tools to campaign planning, measurement and optimisation as brands and agencies look to manage more channels with fewer manual steps. StackAdapt's move adds a dedicated AI workspace to a platform that already spans programmatic and owned media channels including connected television, digital out of home, display, native, audio and email.
Ivy Studio is built on the company's broader AI engine, Ivy. Internally, StackAdapt employees use Ivy for more than 15,000 AI-assisted workflows each week across campaign management, reporting and troubleshooting.
Nearly 70% of that usage is concentrated in its 20 most important workflows, suggesting the internal tools are focused on a relatively narrow set of recurring operational tasks. StackAdapt is now bringing that approach into its customer-facing platform.
According to the company, the new hub lets marketers discover audiences, assess campaign performance, build forecasts and make strategic decisions within a single environment. Users also retain transparency and control over actions taken through the system.
Customer view
One customer pointed to the product's ability to consolidate campaign reporting.
"Ivy Studio streamlines campaigns by helping our team quickly identify and act on key performance drivers. Its programmable skills allow us to pull routine metric reports across multiple campaigns into unified outputs, making it easier to analyse real-time insights and make data-driven decisions faster," said Kelsey Carey, Ad Operations Supervisor, AI & Innovation at Colour Media.
The launch also reflects a wider shift in advertising technology toward interfaces that rely less on dashboards and more on natural-language prompts or goal-based instructions. In StackAdapt's framing, marketers specify the result they want and the software handles parts of the analysis and execution.
That approach is gaining ground as ad buyers face pressure to manage fragmented audiences, cross-channel measurement and campaign adjustments in near real time. Vendors increasingly present AI as a layer that can reduce the manual work needed to move from performance data to action.
OpenAI work
StackAdapt is also developing custom functions on OpenAI models for advertising and marketing workflows. It described these as bespoke AI tools designed specifically for tasks in that sector.
This points to a hybrid strategy that combines the company's own advertising intelligence with external large language models. For ad technology providers, the challenge is often less about the underlying model than embedding it in domain-specific workflows and data environments where marketers can use it for daily campaign tasks.
Vitaly Pecherskiy, Co-Founder and Chief Executive Officer of StackAdapt, said the launch changes how users interact with the platform.
"Ivy Studio changes the paradigm of how marketers use our platform. By moving core capabilities into an AI-first environment, we are enabling teams to accomplish in minutes what previously took hours or even the coordination of multiple teams. We are fundamentally shifting from operating software to driving business growth," said Pecherskiy.
StackAdapt has positioned the launch as part of a broader effort to move campaign work away from reactive navigation through reports and dashboards. The aim is to let users start with business outcomes, then use AI agents to identify opportunities, decide on actions and carry them out within the platform.
The release comes as advertising technology companies compete to show that AI features can do more than generate copy or answer support queries. In this market, tools that connect planning, reporting and campaign changes in a single workflow are becoming a bigger part of product strategy.
StackAdapt said its internal use of Ivy now exceeds 15,000 AI-assisted workflows each week, with almost 70% focused on 20 mission-critical workflows.