Minedia provides an AI‑driven platform that links proprietary consumer behavior data lakes with generative and analytical AI modules to automatically extract structured insights and generate concept proposals. The system supports end‑to‑end workflows that expand marketer hypotheses, create promotional copy, and conduct real‑time consumer acceptance testing, all accessible via cloud APIs and dashboards for rapid product and campaign development.
Funding
$4.4M 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
Companies accumulate extensive consumer behavior and survey data, but lack efficient tools to transform this raw information into actionable insights, leading to slow hypothesis testing and missed market opportunities.
Solution
Minedia offers an AI‑driven platform that connects proprietary consumer data repositories with advanced generative and analytical AI modules. The system amplifies marketers’ initial hypotheses (“兆し”) by automatically deep‑diving into multi‑source data, extracting structured insights, and generating multiple concept proposals. Integrated workflows link concept generation with immediate consumer acceptance testing, enabling rapid iteration without manual data wrangling. The platform also supports automated creation of retail POP copy and product descriptions by analyzing EC purchase and review data. All outputs are delivered through cloud services and APIs that can be embedded in existing marketing and product development tools, accelerating decision cycles and improving the precision of product and campaign strategies.
Target Audience
Primary customers are marketing, product development, and brand strategy teams at consumer goods manufacturers, retailers, and agencies that need to leverage large volumes of consumer research data for faster insight generation and concept testing.
Features
- Proprietary consumer behavior data lake optimized for AI retrieval and cross‑project analysis
- Hybrid “human‑AI co‑creation” workflow that starts from marketer‑provided hypotheses and expands them with AI‑powered insight mining
- Generative AI modules for concept ideation, promotional text, and POP creation tailored to specific product categories
- End‑to‑end integration of concept generation with real‑time consumer acceptance surveys for rapid validation
- API and web‑dashboard interfaces for seamless embedding into marketing, R&D, and retail systems
- Automated multi‑modal analysis (text, reviews, purchase logs) to produce structured insight reports and positioning maps