Peekage, a consumer insights platform co-founded by Milad Zabihi and Sina Roshan, has recently introduced Agentic Insight AI, an innovative solution designed to streamline consumer research. This new platform allows businesses to easily access consumer insights simply by posing questions, and with the assistance of an Autonomous Research AI, supports stakeholders and researchers at every phase of consumer studies. Currently in beta, this AI assistant functions like a fully-equipped research team, handling study design, participant recruitment, data analysis, and insight extraction, which makes sophisticated analytics accessible to non-technical users.
Revolutionizing Consumer Research with Specialized AI Agents
Peekage’s Agentic AI operates through a collection of specialized AI agents, each fulfilling a distinct research role to replicate a traditional research team. From research design to data auditing, these agents collaborate to streamline the research process.
- Research Design Agent: This agent creates study frameworks aligned with specific business objectives.
- Recruitment Agent: It identifies and recruits participants tailored to the study’s demographic requirements.
- Data Analyst Agent: Oversees data collection, ensures accuracy, and manages data cleaning processes.
- Data Auditor: Validates data quality and ensures compliance with research standards.
- Multimodal AI Translator: Merges insights from text, image, and video data to create a holistic view of consumer sentiment.
- Visualization Agent: Designs impactful charts and reports, making data easily digestible for decision-makers.
- Insight Agent: Delivers actionable recommendations based on data analysis, focusing on insights that drive strategic business decisions.
“With Agentic Insight AI, we’re providing our clients with the capability of a full research team, eliminating the complexities and reducing costs,” Roshan noted. “This means faster, more accurate research results that are accessible to companies of all sizes. Our AI agents handle the heavy lifting, enabling our clients to use these insights for strategic decision-making and to stay competitive.”
Moving Beyond Conventional Research Models with Multimodal AI
Peekage’s Insight Engine introduces a fresh approach to qualitative research by going beyond traditional survey-based methods. Through the integration of multimodal AI models, this engine interprets consumer feedback from various media forms such as text, images, and videos, uncovering emotions, sentiments, and overarching themes.
The Insight Engine helps businesses understand specific consumer reactions to products and concepts. By automating feedback review, this tool enables researchers to pinpoint valuable insights faster, which can be critical for integrating feedback into product development cycles.
Key Benefits of Peekage’s Insight Engine:
- Holistic Feedback Analysis: The AI interprets text, visual, and audio data, giving researchers a broader understanding of consumer sentiment.
- Enhanced Product Development: With feedback analysis in place, companies can integrate insights into their development cycles, refining products based on real consumer preferences.
- Optimized Researcher Time: Automation reduces the time spent manually reviewing data, allowing researchers to focus on strategy and implementation.
Introducing Digital Twin Technology for Real-Time Consumer Modeling
Peekage is also pioneering advancements in consumer research through the development of Digital Twin technology. This emerging feature creates virtual models of consumers, enabling brands to simulate behaviors, preferences, and decision-making processes in real-time. Built on five years of research and enriched with insights from a dataset of 500,000 users, Digital Twin technology captures real consumer patterns and preferences, delivering a predictive layer to consumer insights.
How Digital Twins Enhance Research Efficiency:
- Data-Driven Concept Testing: Digital Twins allow businesses to simulate different concepts and narrow options before actual consumer testing, streamlining early-phase research.
- Predictive Modeling: This technology helps forecast consumer responses, giving brands a competitive edge in product strategy.
- Strategic Refinement: Companies can refine product concepts through predictive insights, helping to optimize products to align with real consumer preferences.
Redefining the Future of Consumer Insights with Agentic AI
Peekage’s Agentic Insight AI and Digital Twin technology represent a significant shift in the consumer insights landscape. By offering a comprehensive, data-driven approach, these tools make advanced research accessible, empowering businesses to make informed, strategic decisions efficiently. In an increasingly competitive market, Peekage’s innovation in consumer research positions brands to stay agile, deeply connected to consumer sentiment, and proactive in product evolution.
Conclusion
With its latest innovations, Peekage is setting a new standard in consumer research by providing brands with powerful, easy-to-use AI tools that simplify complex research tasks. Agentic Insight AI’s suite of specialized agents offers an all-encompassing solution for brands aiming to capture, analyze, and act on consumer insights with unprecedented accuracy and speed. Combined with Digital Twin technology, Peekage gives brands the tools to predict, test, and refine concepts long before they reach consumers. These advancements not only save time and resources but empower brands to make data-driven decisions that are essential for growth in today’s fast-paced market.
By leveraging Peekage’s cutting-edge technology, companies can confidently step into the future of consumer research, equipped with the insights they need to remain competitive and responsive to their audience.