The startup operates a data intelligence platform that utilizes natural language processing and artificial intelligence to collect and analyze technology-related data. This enables stakeholders to make informed decisions through interactive visualization tools, enhancing project management and technological innovation.
Funding
$210K 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
Teams involved in technological innovation often struggle to efficiently analyze the vast amounts of R&D data, including patents and scientific publications, leading to delays in evaluation and suboptimal decision-making. The complexity of interactions within the innovation process makes it difficult to extract actionable insights and improve technological content.
Solution
GraphMyTech offers a data intelligence platform that leverages natural language processing (NLP) and graph-based analytics to provide strategic insights from R&D data. The platform collects and analyzes data related to any technology, transforming it into actionable information for decision-making. By combining innovative AI technologies with expertise in economics, innovation management, and intellectual property strategy, GraphMyTech helps organizations improve technological content, reduce evaluation time, and facilitate informed decisions. The platform aggregates data from patents, scientific publications, and other textual sources, delivering prioritized recommendations based on quantified indicators through interactive visualization tools.
Target Audience
The primary users are technology innovation teams, R&D departments, and intellectual property strategists seeking to improve decision-making and accelerate innovation.
Features
- AI-powered natural language processing for collecting data related to any technology from various sources.
- Graph-based analysis to transform collected data into actionable insights.
- Interactive visualization tools for disseminating information to stakeholders.
- Proprietary databases combining patents and scientific publications.
- Ability to aggregate any other source of textual data based on context and need.
- Prioritized recommendations based on quantified indicators.