Native AI


Native AI is an innovative market intelligence platform that leverages artificial intelligence, natural language processing, and digital twin technology to provide real-time consumer insights, competitive analysis, brand health monitoring, and customer feedback analysis. Its mission is to help enterprises understand and predict consumer preferences and behaviors, reduce research timelines, and outlearn competitors by creating digital clones of customers for testing and forecasting. The platform emphasizes data safety, privacy, advanced orchestration, and customizable output controls, serving top brands and research organizations across various industries.

Industries

artificial-intelligence
consumer-goods
food-and-beverage
life-science
natural-language-processing
predictive-analytics-ca83
software

Nr. of Employees

small (1-50)

Native AI

New York, New York, United States, North America


Products

Digital twin consumer simulation platform

A platform capability that constructs interactive synthetic consumer personas from first- and third-party data to answer predictive questions and simulate responses.

Insights dashboard and automated tracking

Configurable dashboard that aggregates reviews and other signals, scores product quality, tracks keywords, and delivers visual reports and alerts.


Services

A cloud-hosted analytics platform that aggregates consumer data, provides dashboards, visualizations, alerts, and exportable reports for product and brand monitoring.

White-label deployment and API services that allow research firms to embed analytics, digital twin interactions, and reporting into their own platforms.

Professional services to assist with first-party data ingestion, configuration of tracking, generation of digital twins from client data, and tailored analyses.

Expertise Areas

  • Consumer insights and market intelligence
  • Natural language processing and sentiment analysis
  • Agent-based simulation and digital twin modeling
  • Data integration and ETL for retail and review sources
  • Show More (4)

Key Technologies

  • Natural language processing (NLP)
  • Generative AI and large language models
  • Agent-based simulation (digital twins)
  • API-based data connectors and ETL pipelines
  • Show More (6)

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