Mapegy offers SCOUT, an AI‑powered Innovation Intelligence platform that aggregates real‑time data from patents, research publications, news, startups, investments and company information into a searchable digital twin of the global innovation landscape. By applying large language models and big‑data analytics, SCOUT surfaces weak signals, maps competitive ecosystems, and provides interactive visual analytics and API access, enabling innovation managers and R&D leaders to generate actionable strategies up to 100× faster and at a fraction of traditional consulting costs.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations struggle to monitor the massive, fast‑moving flow of global innovation data—including patents, research publications, news, startup activity, and market trends—using fragmented sources and manual analysis, which leads to slow decision‑making, high consulting costs, and missed opportunities.
Solution
Mapegy’s SCOUT platform delivers AI‑powered Innovation Intelligence that aggregates billions of data points from patents, scientific literature, news, web content, investments, and company information into a real‑time digital twin of the worldwide innovation landscape. By applying large language models, natural‑language processing, and big‑data analytics, SCOUT extracts weak signals, identifies emerging trends, and maps competitive ecosystems. Users can explore this data through an interactive visual analytics dashboard or integrate insights via an API, turning raw information into actionable strategies within minutes instead of weeks. The platform also leverages over 20 years of historical data to provide trend forecasting and longitudinal analysis, enabling smarter, faster, and more cost‑effective innovation planning.
Target Audience
Primary customers are innovation managers, R&D leaders, and technology strategists in large enterprises and consulting firms seeking data‑driven insight into market and technology trends.
Features
- AI-driven aggregation of patents (>4 M/year), research publications (>700 K/month), and news articles (>300 K/week) across 140+ sources
- Large language model and NLP processing to surface weak signals, white‑spot and blind‑spot opportunities
- Interactive visual analytics dashboard for trend mapping, competitor landscaping, and technology scouting
- API access for seamless integration of innovation data into existing BI or workflow tools
- Historical database spanning 20+ years for longitudinal trend analysis and forecasting
- Real‑time updates and alerts that reduce research cycles by up to 100×
- Cost‑saving automation that replaces traditional consulting and static reporting services