Invisibly develops a hybrid research platform that combines AI-driven insights with consented human data to create Synthetic Audiences for market research. This approach provides businesses with fast, statistically significant insights while ensuring alignment with real user behavior, addressing the need for reliable data in decision-making.
Funding
$31.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional market research methods are often slow, expensive, and may not accurately reflect real-time consumer behavior. Relying solely on static, pre-trained data can lead to inaccurate or irrelevant insights, especially in rapidly changing markets. Businesses need faster, more cost-effective ways to understand consumer preferences and market trends for informed decision-making.
Solution
Invisibly offers a hybrid research platform that combines AI-driven insights with consented human data to create Synthetic Audiences, providing businesses with fast and reliable market research. The platform leverages a multi-agent architecture where multiple personas interact to produce a layered understanding of target audiences. By continuously feeding real-time data from user surveys, consumer transaction data, and open-web polling into its AI models, Invisibly ensures insights are timely and reflective of current market trends. The platform employs Retrieval-Augmented Generation (RAG) to enhance contextual understanding and maintain accuracy by linking every response to its data sources.
Target Audience
Invisibly targets businesses across various industries, including CPG, healthcare, advertising, financial services, and e-commerce, seeking efficient and accurate market research solutions.
Features
- AI-powered panels that scale research using LLMs and Semantic Mapping
- Synthetic Audiences that represent the entire market in a statistically rigorous way
- Persona-driven system to precisely target specific demographics, behaviors, and psychographics
- Multi-agent architecture where multiple personas interact to produce diverse insights
- Real-time data integration from user surveys, transaction data, and open-web polling
- Retrieval-Augmented Generation (RAG) for accurate, context-aware responses
- Real-time Research tool for cross-verifying insights against a fresh audience
- Ability to build and drill into Synthetic Audience segments for detailed analysis