Native AI is an always-on market intelligence platform that leverages advanced Natural Language Processing (NLP) and Artificial Intelligence (AI) technologies to extract insights from extensive data sets. The platform assists brands and organizations in various activities such as tracking, managing, optimizing, and innovating within their respective fields.
By utilizing NLP and AI technologies, Native AI analyzes unstructured data to produce easy-to-understand visuals and actionable recommendations based on qualitative data. It can efficiently aggregate large qualitative data sets, including customer feedback, market trends, and product performance data, synthesizing them into comprehensive reports and recommendations.
Native AI stands out in terms of reducing turnaround time with generative AI, providing results in as little as 3 hours compared to the standard 8-week timeframe. The platform excels in converting unstructured data into actionable insights through detailed scanning, pattern identification, and visualization processes, enhancing user understanding of the data.
Furthermore, Native AI offers users the ability to customize reports according to their needs, supporting custom reporting with a full range of visualization options. The insights dashboard provides a comprehensive view for users, allowing them to analyze popular mentions, Quality IQ scores in comparison to competitors, and edit reviews. The platform's continuous market scanning ensures users stay ahead of market trends and understand consumer preferences and behaviors more effectively.
In summary, Native AI's unique blend of NLP and AI technologies, rapid turnaround time, customizable reporting features, and comprehensive insights dashboard make it a valuable tool for brands and organizations seeking actionable intelligence from vast data sets.
NativeAI was launched on February 25, 2021. The platform was founded by a team of individuals dedicated to AI technology and market intelligence. NativeAI is an innovative company that offers an always-on market intelligence platform utilizing advanced NLP and AI technologies to help businesses understand and predict consumer preferences and behaviors. The platform assists in product optimization, customer experience enhancement, and marketing improvements for brands and organizations.
To use Native AI effectively, follow these steps:
Understanding Native AI: It is an always-on market intelligence platform powered by advanced AI and NLP technologies.
Data Analysis: Native AI analyzes large qualitative data sets using NLP and AI to uncover insights.
Generative AI: Its generative AI reduces turnaround time significantly, providing reliable answers in just 3 hours.
Data Aggregation: Aggregates and synthesizes qualitative data from various sources into actionable recommendations and reports.
Customization: Users can customize reports, set up alerts, and choose visualizations according to their specific needs.
Insights Dashboard: Provides comprehensive views on popular mentions, quality scores, and filters for analysis.
Consumer Understanding: Helps in product development and consumer understanding through actionable insights.
Brand Comparison: Facilitates brand performance comparison through insights dashboard features.
Enhancing Ratings: Provides improvement recommendations and enhancement suggestions for products and brands.
Customer Feedback: Optimizes customer feedback by analyzing and visualizing data into actionable insights.
Partnerships: Native AI has partnerships with various renowned brands for market intelligence.
Continuous Market Scanning: Utilizes proprietary AI technology for always-on market scanning.
Independent Use: User-friendly interface allows for independent use with extensive support resources available.
Remember that Native AI does not have an offline mode, lacks multi-language support, third-party integrations, and real-time data analysis. Additionally, customization of visualizations may be limited, and it can be expensive for small businesses. Ensure data quality since results rely on the quality of input data.
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