NativeAI
Native Ai is an always-on market intelligence platform designed to help brands and organizations track, manage, optimize, and innovate. It ...
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What is NativeAI?
Native AI is an always-on market intelligence platform that helps brands, agencies, and market research firms understand and predict consumer preferences and behaviors. The platform creates millions of intelligent digital twins—AI-powered proxies for real consumers that think, feel, and decide like your audience. These twins enable businesses to test messages, forecast reactions, and optimize strategies in real time without waiting weeks for traditional panels or surveys.
Key features include analyzing millions of qualitative and quantitative data points from hundreds of connected data sources, automating product and keyword tracking across the web, and conversing with digital clones of customers or competitors' customers in real-time. The Insights Dashboard allows users to customize and export reports with full choice of visualizations, set up alerts for specific products and keywords, and monitor trends over time to predict future consumer behaviors and identify white-space opportunities. Users can upload their own first-party data in any structured or unstructured format, and the platform filters digital twins by demographic, purchase channel, behavior, and more.
Native AI is designed for Fortune 500 enterprises, consumer-facing brands, retail companies, CPG manufacturers, telecom companies, healthcare organizations, financial services firms, advertising agencies, and market research firms. The platform reduces research timelines by 90% and helps users run over 80 tests annually on average. It features a Synthetic Output Slider to control hallucination and toggle between
NativeAI pricing
Pricing model: Free
Native AI offers custom pricing for their software. The website does not display published pricing plans, free tier options, or specific cost details. The platform does not offer a free plan or free trial. Pricing is custom-tailored for enterprise clients, particularly Fortune 500 companies. Users must contact the company directly ([email protected] or 646-856-1342) to book a meeting and receive pricing information. The business model appears to be pilot-to-subscription, with a conversion rate exceeding 89% from internal pipeline data.
NativeAI pros
- Creates millions of intelligent digital twins as AI-powered consumer proxies
- Reduces research timelines by 90% compared to traditional panels and surveys
- Provides near-immediate insights instantaneously instead of waiting days or weeks
- Analyzes millions of qualitative and quantitative data points automatically
- Automates product and keyword tracking across the web
- Converses with digital clones of customers in real-time with follow-up questions
- Digital Twins remember conversation context for deeper motivation insights
- Connects to hundreds of data sources for comprehensive consumer understanding
- Allows uploading own first-party data in any structured or unstructured format
- Offers full choice of visualizations with customizable and exportable reports
- Synthetic Output Slider controls creativity between High Fidelity and High Creativity
- Compliant with all international data processing standards for data safety
- Offers sensitive data detection and deletion to prevent accidental risk
- Uses multiple NLP methods for advanced orchestration and maximal accuracy
- Filters digital twins by demographic, purchase channel, behavior, and more
- Set up alerts for specific products and keywords to monitor trends
- Average user runs over 80 tests annually on the platform
- Pilot-to-subscription conversion rate exceeding 89%
- Expert white-glove service available to ensure full value extraction
- Works for both descriptive and predictive analytics use cases
NativeAI cons
- No free tier or free plan available
- Custom pricing only—no published pricing plans on website
- Primarily designed for enterprise/Fortune 500 companies, not small businesses
- Requires access to quality data sets for accurate digital twin responses
- May not fully replace human understanding—designed to scale it instead
- 11-50 employees company—smaller team than legacy competitors like Nielsen
- Only $3.5M total raised—limited funding compared to industry giants
- Founded in 2019—less mature than established market research platforms
- Geographic concentration in New York—limited global office presence
- Digital twins are AI simulations—not actual real human responses
Frequently asked questions about NativeAI
What are Digital Twins and how do they work?
Digital Twins are clones of actual humans derived from verified customer reviews, interview transcripts, market research studies, or other high-quality data sets. Using RAG (Retrieval-Augmented Generation), Digital Twins can reference first-party data for highly accurate responses and other third-party data sets to provide predictive responses based on consumers with overlapping attributes and preferences. They think, feel, and decide like your audience so you can test messages, forecast reactions, and optimize strategies in real time.
How fast can I get insights from Native AI?
Native AI provides near-immediate responses instantaneously. Historically, researchers have had to wait for days, weeks, or even months to gather individual responses at scale. With Native AI, users can gather insights instantaneously allowing them to make data-driven decisions with precision and at a moment's notice, regardless of audience size.
Can I use my own data with Native AI?
Yes, you can upload your first-party data in any structured or unstructured format. The platform is compliant with international data processing regulations to eliminate unnecessary risk. Native AI also offers sensitive data detection and deletion to prevent accidental risk, and is compliant with all international data processing standards.
What industries does Native AI serve?
Native AI focuses on insights for consumer-facing brands and the partners that service them. It is trusted by leading Fortune 500 brands across retail, CPG (consumer packaged goods), telecom, healthcare, and financial services. The platform is designed for brands, agencies, and market research firms.
How many digital twins does Native AI have?
Native AI has more than 300 million unique AI personas powered by billions of data points. The platform analyzes millions of qualitative and quantitative data points from hundreds of sources, giving brands the ability to simulate how consumers across segments will respond to different stimuli instantly and at scale.
Can I ask follow-up questions to Digital Twins?
Yes, Digital Twins are becoming more conversational. Within a Thread (chat window), Native AI partners have the ability to ask follow-up questions to Digital Twins, which includes the context of previously-asked questions. This can be very helpful for diving deeper into the motivations behind initial answers without having to start a conversation over.
What visualizations and export options are available?
The Insights Dashboard allows users to customize and export reports with full choice of visualizations. Native AI clients can choose from a wide selection of visualizations to display Digital Twin responses, making it easier to export data in a table or a variety of charts. This helps share insights from the platform both internally and externally.
Is Native AI privacy-first and secure?
Yes, Native AI is designed to be privacy-first, having been built around strict consent protocols. All underlying data is encrypted, anonymized, and masked before processing. The platform is compliant with all international data processing standards and offers sensitive data detection and deletion to prevent accidental risk. It does not risk personally identifiable information and consumer privacy.
How does Native AI compare to legacy solutions like Nielsen or IRi?
Native AI is the only platform in the market that uses end-to-end data and artificial intelligence to optimize products. Legacy solutions like Nielsen and IRi fall short when converting consumer insights into actual decisions that would allow companies to improve product formulations, supply chains, and outcomes. Native AI combines all the applications needed to engage and understand consumers, predict market trends, and create products with better outcomes, reducing research timelines by 90%.