Peekage, a consumer insights platform, has launched its innovative solution, Agentic Insight AI, designed to revolutionize the way businesses approach consumer research. Co-founded by Milad Zabihi and Sina Roshan, Peekage aims to make advanced consumer insights easily accessible through its AI-powered research assistant. Currently in beta, Agentic Insight AI acts as a comprehensive research team, guiding users through each stage of consumer studies, from study design to data visualization and analysis. This solution allows businesses to gain valuable insights by simply posing business questions, eliminating the complexity typically associated with traditional research.
At the core of Agentic Insight AI is a suite of specialized AI agents, each replicating a key role within a traditional research team. These agents streamline the entire research process, ensuring that even non-technical users can leverage complex analytics effortlessly. The research design agent creates studies aligned with specific business goals, while the recruitment agent identifies and recruits suitable participants. A dedicated data analyst agent handles data collection and cleaning, ensuring accuracy with the help of a data auditor. Peekage’s multimodal AI translator consolidates data from various formats, including text, images, and videos, while a visualization agent generates compelling reports and charts. Finally, the insight agent delivers actionable recommendations, helping businesses make informed decisions.
Co-founder Sina Roshan highlighted that Agentic Insight AI empowers customers with the capabilities of a full research team without the associated complexity and cost. This AI-driven approach delivers faster and more accurate results, making it a valuable solution for businesses of all sizes. By automating time-consuming research tasks, Peekage enables clients to concentrate on using insights for strategic growth and gaining a competitive edge.
Peekage’s Insight Engine, powered by multimodal AI models, pushes the boundaries of traditional qualitative research. Rather than relying solely on survey-based responses, the Insight Engine interprets diverse content types such as text, images, and videos. This capability allows the AI to capture emotions, sentiments, and key themes within consumer feedback. The engine also identifies specific consumer reactions to products and concepts, enabling businesses to prioritize relevant feedback more effectively.
By automating the review of submissions, the Insight Engine helps researchers spend less time on manual analysis and more time on integrating insights into product development. This streamlined approach accelerates the decision-making process, allowing brands to respond quickly to market changes and consumer preferences.
As part of its ongoing innovation, Peekage is developing its Digital Twin technology to enhance consumer research in the CPG (consumer packaged goods) sector. This upcoming feature aims to create virtual models of consumers, enabling brands to simulate consumer behaviors, preferences, and decision-making processes in real time. Built on nearly five years of research and a dataset of approximately 500,000 users, Digital Twin technology captures the unique patterns and preferences of real consumers.
Peekage’s Agentic Insight AI and forthcoming Digital Twin technology represent a major leap forward in automated consumer research. By leveraging specialized AI agents and advanced AI models, Peekage enables businesses to gain deep insights without the traditional barriers of cost and complexity. As the company continues to innovate, its solutions are poised to empower brands to make smarter, faster, and more data-driven decisions, ultimately shaping the future of consumer research.
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